2013
TRAINING COuRSe
CATAlOGue
what was the most beneficial part
of the CMG training course?
“I saw the applications to my work right away, especially in circulation and
in seeing the effects of trajectory issues.” (Advanced Wellbore Modelling
in STARS™, May 2012)
“The course had a lot of hands-on exercises. Instructor showed good knowledge
and enthusiasm for the subject matter. Very good course with great practical
value.” (SAGD Simulation using STARS, April 2012)
“The theory portion was very helpful. The tutorials were very effective
in demonstrating the concepts.” (Geomechanics, March 2012)
“This training covered most of my questions I had about simulating shale gas.
I feel more confident now.” (Simulation of Shale, Tight Oil and Gas Reservoirs,
January 2012)
“Showing the flexibility with which the dataset can be modified using Builder.
The instructor was knowledgeable about the new trends in industry.”
(Advanced Wellbore Modelling in STARS, April 2011)
“The applicability to my work was immediate. The concepts were simple,
and short run times for simulations allowed more time for learning.”
(Numerical Tuning Techniques for CMG Simulators, March 2011)
“Great overview of the program. Instructor was knowledgeable and interesting
and engaged the class. Really enjoyed the exercises at the end of the course,
it tied together everything that we learned.” (Introduction to CMG’s Simulation
Workflows, February 2011)
foreword
Oil and gas operators are facing challenges previously unknown - the need for trained reservoir engineers
and the enhanced recovery of increasingly complex reservoirs. By using CMG reservoir simulation software,
reservoir engineers are able to maximize productivity and confidently conduct economic forecasts with
reduced risk and uncertainty.
CMG software is the industry standard for advanced processes reservoir simulation. After attending one
of our hands-on, industry focused training courses, attendees will be better trained to use the reservoir
simulation tools in the most efficient way, ultimately leading to faster and more accurate engineering
decisions. CMG offers a variety of courses from beginner to advanced, covering the full CMG software
suite, advanced processes and the varying reservoir challenges, as appropriate. Our courses are
developed and taught by highly experienced, specialist reservoir engineers, who discuss latest
technology trends in the oil and gas industry and application to reservoir simulation.
At CMG, we have built world-class training facilities that are equipped with the latest hardware
to provide a pleasant and an excellent learning experience for all attendees. All courses can be
held in one of our dedicated training facilities or delivered at your office. Please contact one
of our training coordinators to discuss custom, on-site training courses in more detail.
CMG training courses are unique and effective:
1. Attendees have access to experienced instructors, drawn from our Consulting, Support
and Training engineering staff and software development team
2. Ability to hold courses in your offices or at a dedicated CMG facility
3. Ability to choose the course level according to your skill level (introductory,
intermediate, advanced)
4. Ability to customize the training, using your data, for immediate applicability to your
own projects
5. Offer a combination of lecture-type conceptual material with modular, hands-on labs
and tutorials building upon prior developed skills and knowledge; learn by practicing
within the software products on relevant projects
We invite you to attend one of our training courses to learn why CMG software continues
to be the industry standard for advanced reservoir simulation processes.
Best regards,
Ken Dedeluk
President & CEO
for CURRENT
scheDule
scan the code
online
registration
now available
w w w. c m g l . c a / t r a i n i n g
TABLE OF CONTENTS
• Available Courses
1
• heavy oil training
2
• unconventional oil & gas training
3
• Enhanced Oil Recovery (EOR) training
4
Builder, Simulation Model Building Application
Results, Visualization & Analysis Application
6
• introduction to cmg’s simulation workflows
7
• Advanced Features in Builder & Results
8
IMEX, Three-Phase, Black Oil Simulator
• conventional oil reservoir simulation (HOUSTON)
10
11
GEM, Compositional & Unconventional Reservoir SimulAtor
12
• simulation of Shale, tight oil and Gas RESERVOIRS
13
• Coal Bed Methane Simulation
14
• CO2 EOR simulation
15
• Geomechanics
16
• Numerical Tuning Techniques for CMG Simulators
17
• Geochemistry
18
• CO2 Sequestration Simulation
19
• FORGAS
20
STARS, Advanced Processes & Thermal Reservoir Simulator
22
• Introduction to thermal eor simulation
23
• SAGD Simulation
24
• Thermal and ADVANCED Processes Simulation (VEnezuela)
25
• ADVANCED Wellbore Modelling
26
• Geomechanics
27
• Chemical EOR Simulation
28
• CHEMICAL FLOODING (VEnezuela)
29
• Numerical Tuning Techniques for CMG Simulators
30
• MODELLING OF CARBONATE NATURALLY FRACTURED RESERVOIRS
31
WinProp, Phase-Behaviour & Fluid Property Program
32
• Phase Behaviour Modelling and PVT Creation
33
CMOST, Enhance & Accelerate Sensitivity Analysis, History
Matching, Optimization & Uncertainty Analysis
34
• Assisted History Matching, Optimization
35
• Assisted History Matching, Optimization
36
• Assisted History Matching, Optimization
37
• CUSTOM TRAINING COURSES
38
• INSTRUCTORS
40
• Locations & Contact Information
43
& Uncertainty Analysis
& Uncertainty Analysis USING stars (VENEZUELA)
& Uncertainty Analysis USING IMEX (VENEZUELA)
AVAILABLE COURSES
INTRODUCTION TO
CMG’S SIMULATION
WORKFLOWS
PAGE 7
UNCONVENTIONAL
OIL/GAS PROCESSES
EOR
PROCESSES
SIMULATION OF SHALE,
TIGHT OIL & GAS
RESERVOIRS
PHASE BEHAVIOUR
MODELLING & PVT
CREATION
INTRODUCTION
TO THERMAL EOR
SIMULATION
COAL BED METHANE
SIMULATION
CHEMICAL EOR
SIMULATION
SAGD SIMULATION
PAGE 13
PAGE 33
PAGE 14
PAGE 15
PHASE BEHAVIOUR
MODELLING & PVT
CREATION
CO2 SEQUESTRATION
SIMULATION
PAGE 33
PAGE 30
ADVANCED FEATURES
IN BUILDER & RESULTS
PAGE 8
1
PAGE 23
PAGE 24
ADVANCED WELLBORE
MODELLING
PAGE 26
GEOMECHANICS
PAGE 16
PAGE 19
NUMERICAL TUNING
TECHNIQUES FOR CMG
SIMULATORS
CONTENTS
PAGE 28
CO2 EOR SIMULATION
ASSISTED HISTORY
MATCHING, OPTIMIZATION
& UNCERTAINTY
ANALYSIS
PAGE 35
BACK TO
TABLE OF
HEAVY OIL
PROCESSES
MODELLING OF
CARBONATE NATURALLY
FRACTURED
RESERVOIRS
PAGE 31
CUSTOM TRAINING
COURSES
PAGE 38
heAvy OIl TRAINING
INTRODuCTION TO
CMG’S SIMulATION
WORKFlOWS
pAGe 7
INTRODuCTION TO
TheRMAl eOR
SIMulATION
OTheR ReCOMMeNDeD
COuRSeS
pAGe 23
ASSISTeD hISTORy
MATChING, OpTIMIzATION
& uNCeRTAINTy
ANAlySIS
pAGe 35
SAGD SIMulATION
pAGe 24
ADvANCeD FeATuReS
IN buIlDeR & ReSulTS
pAGe 8
GeOMeChANICS
pAGe 16
phASe behAvIOuR
MODellING & pvT
CReATION
pAGe 33
ADvANCeD WellbORe
MODellING
pAGe 26
NuMeRICAl TuNING
TeChNIqueS FOR CMG
SIMulATORS
pAGe 30
BACK TO
TABLE OF
CONTENTS
2
uNCONveNTIONAl
OIl & GAS TRAINING
INTRODuCTION TO
CMG’S SIMulATION
WORKFlOWS
pAGe 7
OTheR ReCOMMeNDeD
COuRSeS
COAl beD MeThANe
SIMulATION
pAGe 14
ASSISTeD hISTORy
MATChING, OpTIMIzATION
& uNCeRTAINTy
ANAlySIS
pAGe 35
GeOMeChANICS
pAGe 16
phASe behAvIOuR
MODellING & pvT
CReATION
pAGe 33
NuMeRICAl TuNING
TeChNIqueS FOR CMG
SIMulATORS
pAGe 30
ADvANCeD FeATuReS
IN buIlDeR & ReSulTS
pAGe 8
BACK TO
TABLE OF
CONTENTS
3
SIMulATION OF ShAle,
TIGhT OIl & GAS
ReSeRvOIRS
pAGe 13
ENHANCED
OIL RECOVERY (EOR) TRAINING
INTRODUCTION TO
CMG’S SIMULATION
WORKFLOWS
PAGE 7
PHASE BEHAVIOUR
MODELLING & PVT
CREATION
OTHER RECOMMENDED
COURSES
INTRODUCTION TO
THERMAL EOR
SIMULATION
PAGE 33
GEOCHEMISTRY
PAGE 23
CO2 EOR SIMULATION
PAGE 18
PAGE 15
CHEMICAL EOR
SIMULATION
PAGE 28
MODELLING OF
CARBONATE NATURALLY
FRACTURED
RESERVOIRS
PAGE 31
CO2 SEQUESTRATION
SIMULATION
PAGE 19
ASSISTED HISTORY
MATCHING, OPTIMIZATION
& UNCERTAINTY
ANALYSIS
PAGE 35
GEOMECHANICS
PAGE 16
NUMERICAL TUNING
TECHNIQUES FOR CMG
SIMULATORS
PAGE 30
ADVANCED FEATURES
IN BUILDER & RESULTS
PAGE 8
BACK TO
TABLE OF
CONTENTS
4
5
BUILDER, SIMULATION MODEL BUILDING
APPLICATION
RESULTS, VISUALIZATION & ANALYSIS APPLICATION
The combination of Builder™ and Results™ provides a framework for data integration and workflow
management between CMG’s reservoir simulators. Builder is a menu‐driven reservoir simulation model creation,
editing and visualization program for generating input data for all CMG software products – STARS, GEM™,
IMEX™, CMOST™ and WinProp™. The Builder interface is designed to enhance user productivity. Results,
a set of post‐processing applications, is designed to visualize and report CMG software – STARS, GEM, IMEX,
and CMOST – input and output data into 2D aerial maps, 2D cross‐sections, 3D perspectives and stereoscopic
3D formats. All Results files can be exported for use in MS Office† products. New users will benefit from
the ease of use for model creation and editing, while advanced users will appreciate the “simulator KEYWORD format”.
BENEFITS
•
•
•
•
•
•
•
Faster and more efficient design and preparation of reservoir simulation models
Enhance user productivity through an interactive and easy‐to‐use interface
Quickly and easily create models using Builder’s advanced process wizards (chemical reactions, hydraulic fracturing,
geomechanics, rock-fluid interaction and phase behaviour and reactions)
Increase data integration and workflow management using Builder and Results
Easily and effectively analyze simulator input and output data
Make fast and informed decisions about improving recovery and performance for a well or a field
Input from and output to 3D geological software to complete the seismic‐to‐simulation‐and‐back workflow
WHAT STUDENTS ARE SAYING...
•
I really enjoyed the visualization applications of the software and the quick reference tools
(Introduction to CMG’s Simulation Workflows, September 2012)
•
The practical applications of the software made the course very useful
(Advanced Features in Builder & Results, July 2012)
•
We covered all the main functions of the software. I liked the way we repeated use of Results by building onto
the same basic model several times. This repetition helped me navigate through the process on my own
by the end of the class (Introduction to CMG’s Simulation Workflows, February 2012)
•
Very well organized notes and well‐constructed tutorials. Tutorials were pretty well focused on topics
of most interest. Good discussion of how options are implemented in the simulator
(Advanced Features in Builder & Results, July 2011)
BACK TO
TABLE OF
CONTENTS
6
INTRODUCTION TO CMG’S
SIMULATION WORKFLOWS
ABOUT THE COURSE
2-DAYS
PREREQUISITES
• NONE
NEXT STEPS
• ADVANCED BUILDER
& RESULTS (pg.8)
• INTRODUCTION
TO THERMAL EOR
SIMULATION (pg.23)
• ASSISTED HISTORY
MATCHING,
OPTIMIZATION
& UNCERTAINTY
ANALYSIS (pg.35)
• SIMULATION OF SHALE,
TIGHT OIL & GAS
RESERVOIRS (pg.13)
• CBM SIMULATION (pg.14)
• CO2 EOR SIMULATION
(pg.15)
• GEOMECHANICS (pg.16)
• GEOCHEMISTRY (pg.18)
• CO2 SEQUESTRATION
FOR CURRENT
SCHEDULE
SCAN THE CODE
ONLINE
REGISTRATION
NOW AVAILABLE
BACK TO
TABLE OF
CONTENTS
7
www.cmgl.ca/training/cmg-intro
SIMULATION (pg.19)
This is the first course in any students’ training, upon which every subsequent course builds. Attendees will learn the
latest technology in pre- and post-processing capabilities for CMG simulators. These include Builder, which handles the
bulk of data preparation for black oil (IMEX), compositional (GEM) and advanced thermal/chemical process (STARS)
simulators. Basic raw data such as geological maps, PVT data, core analysis, production data, and perforation
/completion events are imported into Builder to create a complete dataset, initially for the IMEX simulator. Formats
for each type of data will be introduced.
Different methods of incorporating PVT data, relative permeability curves, well completions and injection/production
data etc. will be discussed in more detail. Participants will learn how to use the pre-processor to convert the raw data
into an IMEX dataset. The converted dataset will be validated and processed by IMEX to generate output graphic files.
Participants will also learn how to use Results 3D, Results Graph, and Report Writer to view the simulation output.
A similar approach could be used to create a compositional GEM dataset or a thermal STARS dataset.
WHO SHOULD ATTEND
This two-day course is designed for engineers, geologists or other technical personnel who would like to build basic
black oil simulation models and at the same time use some advanced simulation technology, especially in terms
of pre- and post-processing capabilities. A basic reservoir engineering background is required with little or no reservoir
simulation experience.
COURSE CONTENT
•
•
•
•
•
•
•
•
•
Introduction to Builder, different map formats (Cartesian, orthogonal or non-orthogonal corner point grids)
Interpolation, editing of reservoir properties, adding/deleting wells including vertical and horizontal wells
Adding aquifers, PVT data, relative permeability curves, and smoothing/adjusting data graphically
Analytical correlations used in preparing PVT data and rock/fluid properties
Defining fluid contacts, setting reference pressure, selection of different initialization methods
Creation of recurrent well data and production history files based on general field production data
Defining well perforations and creating restart records for prediction runs
Validate data, test runs, and review results using Results 3D and Results Graph
Create different Results - template files, multiple plots, and MS Excel† style reports
ADVANCED FEATURES IN BUILDER
& RESULTS
2-DAYS
ABOUT THE COURSE
PREREQUISITES
Attendees will learn new advanced features and more sophisticated functions within Builder and Results
to create complex datasets and reports. Existing datasets - IMEX, GEM, STARS - will be used to demonstrate
the unique functions of CMG’s Builder/Results software.
• INTRODUCTION
TO CMG’S SIMULATION
WORKFLOWS (pg.7)
NEXT STEPS
• ASSISTED HISTORY
MATCHING,
OPTIMIZATION
& UNCERTAINTY
ANALYSIS (pg.35)
• NUMERICAL TUNING
TECHNIQUES (pg.30)
• SAGD SIMULATION
(pg.24)
• GEOMECHANICS (pg.16)
• ADVANCED WELLBORE
MODELLING (pg.26)
The course will provide participants with enough information and techniques to fully master the basic and advanced
features in Builder/Results to achieve optimum data designs and presentations.
WHO SHOULD ATTEND
This two-day course is designed for engineers, geologists or other technical personnel who would like to learn the more
advanced functions in CMG’s Builder and Results software. Basic CMG Builder/Results skills and an understanding for
one of CMG’s simulators - IMEX, GEM, STARS - are required.
COURSE CONTENT
•
•
•
•
•
•
•
FOR CURRENT
SCHEDULE
SCAN THE CODE
ONLINE
REGISTRATION
NOW AVAILABLE
www.cmgl.ca/training/advanced-br
•
•
Advanced Builder/Results applications
Use of formulae to create new variables, generate sectors, and assign different properties
Use of different geostatistical methods to generate distributions based on Log data
Grid upscaling
Using build-up permeability estimation, relative permeability smoothing, and end point scaling
Scripting for multiple geostatistical realizations
Handling complex well configurations (e.g. multilateral wells, property modification,
and/or grid refinements around wells)
Learning different process wizards and advanced presentation skills such as streamlines, iso-surfaces, vectors,
and color scaling
Different plotting techniques will be discussed including rate versus cumulative production plots, axis scaling, property
versus distance plots, report (tables) generation, customized reports and templates, etc.
BACK TO
TABLE OF
CONTENTS
8
9
IMEX, THREE-PHASE, BLACK
OIL SIMULATOR
IMEX is one of the world’s fastest conventional reservoir simulators. IMEX is a full‐featured, three‐phase, four‐component,
black oil reservoir simulator for accurately modelling complex heterogeneous faulted structures, primary and secondary
recovery processes, horizontal and multilateral wells and reservoir subsidence. IMEX includes features such as local grid
refinement (LGR), comprehensive well management, a pseudo‐miscible option, polymer flooding, dual porosity/
permeability, flexible grids, gas adsorption and more. Reservoir engineers use IMEX to move from history-matched,
primary production and waterfloods to enhanced recovery processes in GEM and STARS, quickly and easily.
BENEFITS
•
•
•
Quickly screen variety of recovery mechanisms before
moving to a more complex simulation
Accurate modelling of matrix‐fracture system in fractured
reservoirs
Seamless integration with CMOST for rapid, accurate
history matching
APPLICATIONS
•
•
•
•
•
Unconventional gas & liquids reservoir
Primary depletion
Naturally or hydraulically fractured reservoirs
Secondary recovery
Gas storage fields
WHAT STUDENTS ARE SAYING...
•
The whole course was very helpful, particularly if there was no prior experience with Builder/Results.
(Introduction to CMG’s Simulation Workflows, July 2012)
•
The instructor covered the course in a timely manner. He gave us enough time to follow and understand the underlying
concepts. He took time to answer all questions and enabled the class to participate in a lively exchange of ideas.
(Introduction to CMG’s Simulation Workflows, May 2011)
•
Hands‐on experience valuable. Interspersing exercises with presentations helped reinforce concepts and workflow.
(Introduction to CMG’s Simulation Workflows, May 2011)
•
Great course, very good at demonstrating the capabilities of the software, as well as, simulation in general.
(Introduction to CMG’s Simulation Workflows, February 2011)
BACK TO
TABLE OF
CONTENTS
10
CONveNTIONAl
OIl ReSeRvOIR SIMulATION
NOTe: ThIS COuRSe IS ONly AvAIlAble IN hOuSTON
1-DAy
AbOuT The COuRSe
pReRequISITeS
The course will introduce the latest technology in black‐oil simulation capabilities using IMeX. CMG’s builder/
Results software will be used extensively to create/modify data and analyze results. Several hands‐on exercises
will be used to help students create an IMeX dataset and to apply several of the simulators capabilities.
participants will use Results 3D and Results Graph to view simulation output.
• INTRODuCTION
TO CMG’S SIMulATION
WORKFlOWS (pg.7)
NeXT STepS
• ADvANCeD buIlDeR
•
•
•
•
•
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
BACK TO
TABLE OF
CONTENTS
11
www.cmgl.ca/training/conv-ressim
•
& ReSulTS (pg.8)
INTRODuCTION
TO TheRMAl eOR
SIMulATION (pg.23)
ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
SIMulATION OF ShAle,
TIGhT OIl & GAS
ReSeRvOIRS (pg.13)
CbM SIMulATION
(pg. 14)
CO2 eOR SIMulATION
(pg. 15)
GeOMeChANICS
(pg.16)
GeOCheMISTRy (pg.18)
CO2 SequeSTRATION
SIMulATION (pg.19)
WhO ShOulD ATTeND
This one‐day course is designed for engineers, geologists or other technical personnel who would like to build
basic black oil simulation models and at the same time use some advanced simulation technology especially
in terms of pre- and post‐processing capabilities. Students should have completed the two‐day Introduction
to CMG’s Modelling Workflows training course or have hands‐on experience using builder/Results software.
COuRSe CONTeNT
•
Overview and application of several IMeX simulator features including:
• under‐saturated/saturated oil reservoirs and gas condensate reservoirs
• Secondary recovery processes including waterflooding and dry gas injection
• Naturally fractured reservoirs with horizontal hydraulically fractured wells
• Reservoir/surface facilities coupled modelling
GEM, COMPOSITIONAL
& UNCONVENTIONAL RESERVOIR
SIMULATOR
GEM is an advanced, general Equation‐of‐State (EoS) compositional simulator that models the flow of three‐phase,
multi‐component fluids. GEM will model any type of reservoir where the importance of the fluid composition and their
interactions are essential to understanding the recovery process. GEM can accurately model primary, secondary, and
tertiary recovery processes, including thermal effects, as well as complex heterogeneous faulted structures, horizontal
and multilateral wells, and geomechanical deformation. GEM is used extensively for modelling unconventional gas and
liquids‐rich shales, coal bed methane (CBM & E‐CBM) and CO2 processes.
BENEFITS
•
•
•
•
•
Understand fluid property composition and behaviour
Simulate recoverable reserves through advanced
simulation
Simulate complex reservoirs to identify optimal recovery
processes
Increase estimated NPV through accurate phase
behaviour models
Optimize field, surface operating conditions
and overall recovery
APPLICATIONS
•
•
•
•
•
Unconventional oil & gas (shale oil/gas; tight oil/gas;
CBM; liquids rich)
Hydrocarbon & acid gas injection
Gas, gas condensate & volatile oil
Greenhouse gas
Fractured reservoirs
WHAT STUDENTS ARE SAYING...
•
GEM can be customized in different ways for shale gas simulation. This is very important due to many unknown facts
of shale. (Simulation of Shale, Tight Oil and Gas Reservoirs, November 2012)
•
We learned about WinProp and GEM updates. The operating guide was very informative, and very helpful
to improve our productivity. (Simulation of Shale, Tight Oil and Gas Reservoirs, October 2012)
•
The theory portion was very helpful. The tutorials were very effective in demonstrating the concepts.
(Geomechanics in GEM and STARS, March 2012)
•
The discussions with the instructor were directly related to what I needed to know to do my job as a reservoir
simulation engineer. (Geomechanics in GEM and STARS, March 2012)
•
Covering all the theory behind the model was of great benefit. There are so many different reservoir and
fracture properties taken into account. (Simulation of Shale, Tight Oil and Gas Reservoirs, January 2012)
BACK TO
TABLE OF
CONTENTS
12
SIMulATION OF ShAle, TIGhT OIl
AND GAS ReSeRvOIRS
2-DAyS
AbOuT The COuRSe
pReRequISITeS
Attendees will learn the latest technology in unconventional reservoir simulation using the CMG compositional simulator
GeM. Shale, tight oil and gas reservoir theory and simulation concepts will be discussed. This course also includes
instruction on CMG’s builder software, which handles the bulk of data preparation for compositional simulation in GeM
for unconventional oil and gas reservoirs. basic raw data such as geological maps, fluid composition data, core analysis,
production data, perforation/completion events, and microseismic data are imported via builder to create a complete
dataset for the GeM simulator. Formats for each type of data will be introduced. Concepts of uncertainty
analysis/experimental design techniques, assisted history matching, and optimization will be discussed.
• INTRODuCTION
TO CMG’S
SIMulATION
WORKFlOWS (pg.7)
NeXT STepS
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• GeOMeChANICS
(pg.16)
• phASe behAvIOuR
MODellING AND pvT
CReATION (pg.33)
• ADvANCeD FeATuReS
IN buIlDeR & ReSulTS
(pg.8)
• NuMeRICAl TuNING
TeChNIqueS (pg.17)
WhO ShOulD ATTeND
This two-day course covers shale, tight oil and gas reservoir simulation concepts using CMG’s compositional simulator
GeM. This course is designed for engineers, geologists and other technical personnel undertaking basic or advanced
shale, tight oil or gas reservoir simulation. A basic reservoir engineering background in unconventional oil and gas
reservoirs is required with little or no reservoir simulation experience.
COuRSe CONTeNT
•
•
•
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
BACK TO
TABLE OF
CONTENTS
13
www.cmgl.ca/training/shale-tight
•
•
•
•
•
•
Introduction to builder pre-processor features
Grid creation using maps and Rescue import from geological software
Shale gas example case with input of reservoir characteristics including adsorption data for a multiple
component system
Input data for multiple permeability system
preparation of rock/fluid properties using analytical correlations
Discussions on well configurations: vertical, horizontal, multilateral, etc.
Illustration of hydraulic fracture and natural fracture network modelling using the hydraulic fracture wizard in builder
Incorporating microseismic data into fracture modelling
using CMOST to aid in the modelling process (Sensitivity Analysis, history Matching, Optimization,
and uncertainty Analysis)
validate data and run simulation datasets, review results using Results 3D & Results Graph
Discussions on stress dependent natural and hydraulic fracture conductivity modelling
COAl beD MeThANe SIMulATION
2-DAyS
AbOuT The COuRSe
pReRequISITeS
Attendees will learn the latest technology in coal bed methane (CbM) simulation using the CMG compositional simulator
GeM. CbM reservoir theory and simulation concepts will be discussed. This course also includes instruction on CMG’s
builder software, which handles the bulk of data preparation for compositional simulation using GeM for CbM and
enhanced CbM reservoirs. basic raw data such as geological maps, fluid composition data, core analysis, production
data, and perforation/completion events are imported into builder to build a complete dataset for the GeM simulator.
Formats for each type of data will be introduced. Field development concepts using group controls, automatic well drilling
options, etc. will be discussed. Concepts of uncertainty analysis/experimental design techniques, assisted history
matching and optimization will be discussed.
• INTRODuCTION
TO CMG’S SIMulATION
WORKFlOWS (pg.7)
NeXT STepS
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• GeOMeChANICS (pg.16)
• phASe behAvIOuR
MODellING AND pvT
CReATION (pg.33)
• ADvANCeD FeATuReS IN
WhO ShOulD ATTeND
This two-day course covers CbM reservoir simulation using CMG’s compositional simulator GeM. This course is designed
for engineers, geologists and other technical personnel undertaking basic or advanced CbM reservoir simulation.
A basic reservoir engineering background in CbM is required with little or no reservoir simulation experience.
buIlDeR & ReSulTS (pg.8)
• NuMeRICAl TuNING
TeChNIqueS (pg.17)
COuRSe CONTeNT
•
•
•
•
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/cbm
•
•
•
•
Introduction to builder pre-processor features
Grid creation using maps and Rescue import from geological software
Input of CbM reservoir characteristics including adsorption data for a multiple component system
Input data for multiple porosity system for CbM reservoirs
preparation of rock/fluid properties using analytical correlations
Discussions on well configurations: vertical, horizontal, multilateral, etc.
CbM with CO2 injection
effect of coal matrix shrinkage and swelling
validate data and run simulation dataset, review results using Results 3D & Results Graph
Discussion of history matching techniques using manual and assisted history matching methods
BACK TO
TABLE OF
CONTENTS
14
CO2 EOR SIMULATION
3-DAYS
ABOUT THE COURSE
PREREQUISITES
Attendees will learn the method of creating PVT data for miscible floods using the GEM simulator. Participants will learn
how to create a 1D model to simulate core studies in GEM. Sensitivity studies and history matching workflows are
explored with the 1D core model. Participants will then create a 3D compositional miscible flood model and run an EOR
case using miscible CO2 injection. Participants will learn how to tune the numerical parameters in GEM to reduce
the run time and material balance error.
• INTRODUCTION
TO CMG’S
SIMULATION
WORKFLOWS (pg.7)
• PHASE BEHAVIOUR
MODELLING & PVT
CREATION (pg. 33)
NEXT STEPS
• ASSISTED HISTORY
MATCHING,
OPTIMIZATION
& UNCERTAINTY
ANALYSIS (pg.35)
WHO SHOULD ATTEND
This three-day course is for engineers or other technical personnel who would like to learn the techniques of EOR
by CO2 injection in a miscible flood process. The knowledge of using WinProp and incorporating laboratory measured
data to create an EoS based fluid model is a prerequisite, as well as some simulation experience (preferably
compositional modelling). Participants must have taken the two-day Phase Behaviour Modelling & PVT Creation using
WinProp (pg.28) course, and should be familiar with using CMG’s Builder/Results software.
• ADVANCED FEATURES
IN BUILDER & RESULTS
(pg.8)
• NUMERICAL TUNING
TECHNIQUES (pg.17)
COURSE CONTENT
•
•
•
•
•
FOR CURRENT
SCHEDULE
SCAN THE CODE
ONLINE
REGISTRATION
NOW AVAILABLE
BACK TO
TABLE OF
CONTENTS
15
www.cmgl.ca/training/co2-eor
•
PVT requirements for miscible floods in GEM
Examination of first contact and multi-contact miscibility situations
Create a 1D simulation model in GEM and history match core studies for miscible floods
Create a compositional miscible flood 3D simulation model in GEM
Run EOR cases using CO2 miscible flood in GEM
Tuning some numerical parameters in GEM to enhance the run performance
GeOMeChANICS
2-DAyS
AbOuT The COuRSe
pReRequISITeS
Attendees will learn the geomechanical concepts from simple dilation/compaction table input to complex finite
element strain/stress approaches. Attendees should be familiar with basic simulation work and have some practical
experience in black oil, compositional, or thermal simulation. Stress-related phenomenon will be discussed including rock
deformation and subsidence. Caprock integrity and modelling of caprock failures will be discussed and illustrated.
Simple elasto-plastic yield to more complex cap models will be explained and demonstrated. Single well to full field
examples of geomechanics simulation in GeM and STARS will be illustrated. Analysis of the simulation runs will
be performed to have a better understanding of these geomechanical features. This course will provide participants
with enough information and techniques to build a complex reservoir simulation dataset with geomechanical effects
and explore the more complex functions of GeM and STARS simulators.
• INTRODuCTION
TO CMG’S SIMulATION
WORKFlOWS (pg.7)
• INTRODuCTION
TO TheRMAl eOR
SIMulATION (pg.23)
NeXT STepS
• SAGD SIMulATION
(pg.24)
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS IN
buIlDeR & ReSulTS (pg.8)
• NuMeRICAl TuNING
TeChNIqueS (pg.17)
WhO ShOulD ATTeND
This two-day course is designed for engineers, geologists, or other technical personnel who would like to learn
the geomechanical features in CMG’s GeM and STARS simulators. basic knowledge of CMG simulator functions
is required to learn the geomechanical features and applications.
COuRSe CONTeNT
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/geomech
•
•
•
•
•
•
•
GeM and STARS simulator geomechanics features and applications including application of geomechanical
coupling to the simulators
Simple dilation/compaction table input, application and limitation
Concepts of complex stress-strain relationship, yielding criteria, linear elasticity, non-linear elasticity
(hypoelastic and hyperelastic), elasto-plastic behaviour and associated constitutive models
(Mohr-Coulomb and Drucker prager), and Generalized plasticity
Keywords used in geomechanical models in GeM & STARS
example models of modelling caprock integrity in thermal simulation and CO2 sequestration simulation
for saline aquifers
Review of builder & Results to input and analyze simulation data
Implementation of a separate Geomechanical Grid (GeoGrid)
use of post-process geomechanic capabilities (running geomechanics on a previously ran reservoir model)
Other example simulation models related to geomechanical features in GeM and STARS applications
BACK TO
TABLE OF
CONTENTS
16
NuMeRICAl TuNING TeChNIqueS
FOR CMG SIMulATORS
AbOuT The COuRSe
1-DAy
pReRequISITeS
• INTRODuCTION
TO CMG’S
SIMulATION
WORKFlOWS (pg.7)
The course will introduce concepts of CMG simulators - IMeX, GeM, STARS - with emphasis on numerical tuning and
diagnosis of numerical problems. The individual should be familiar with CMG simulation work and have some practical
experience in simulation. Specific analysis techniques - such as analyzing the numerical output parameters, fine tuning
of the input data, diagnosis of small time-step problems, and non-convergence - for CMG simulator outputs will be
examined.
• INTRODuCTION TO
CMG’s builder/Results software will be used extensively to modify data and analyze results. A hands-on exercise will
be included to help users debug data files. The course will provide a participant enough information and techniques
to fine tune and adjust their own dataset and improve the performance of more complicated simulation processes.
Key factors in tuning and managing dynamic gridding and parallelization will also be discussed.
NeXT STepS
WhO ShOulD ATTeND
TheRMAl eOR
SIMulATION (pg.23)
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS
IN buIlDeR & ReSulTS
(pg.8)
This one-day course is designed for engineers, geologists, or other technical personnel who would like to learn more
about the numerical tuning techniques for CMG simulators with emphasis on the advanced processes and thermal
simulator, STARS. basic CMG builder/Results skills are required to learn the numerical tuning of CMG simulator
applications.
COuRSe CONTeNT
•
•
•
•
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
BACK TO
TABLE OF
CONTENTS
17
www.cmgl.ca/training/numerical-tune
•
for CUrrENT
•
•
CMG simulator numerical features
What to look for when numerical problems occur
how to fine-tune the dataset by analyzing the output numerical variables
Which parameters in the numerical section are more sensitive than others
Systematic approach in solving numerical problems and improving calculation efficiency
Reviewing of datasets before and after numerical tuning
hints on getting the most out of dynamic gridding and parallelization (including defining of custom planes)
GeOCheMISTRy
1-DAy
AbOuT The COuRSe
pReRequISITeS
Geochemical effects associated with CO2 in the Carbon Capture and Storage (CCS) process is an important trapping
mechanism which should be considered. Once CO2 is injected into a reservoir, the trapping mechanism progresses
through residual gas trapping, solubility trapping, ionic trapping, and finally to mineral trapping over 1000’s of years.
• NONe
NeXT STepS
• CO2 SequeSTRATION
SIMulATION (pg. 19)
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS IN
buIlDeR & ReSulTS (pg.8)
• NuMeRICAl TuNING
TeChNIqueS (pg.17)
At each step, the CO2 is trapped in a more secure form. The chemistry of produced fluids from the reservoir records the
geochemical processes taking place in the reservoir. These can be used to place appropriate constraints on reservoir
modelling if geochemical reactions are incorporated. because of the complexity and number of calculations required per
grid block in GeM, the dominant reactions occurring in the reservoir must be identified through use of equilibrium and
kinetic geochemical modelling software and then specified in GeM in order to calculate the amounts, types, and timing
of the geochemical trapping efficiency.
The workshop will build up to the CO2 Sequestration in GeM course where it will be discussed how residual and
solubility trapping leads to interactions between the fluids and minerals in the reservoir, resulting in ionic and
mineral trapping.
WhO ShOulD ATTeND
This one-day course is designed for engineers, geologists, or other technical personnel to precede the 2-day CO2
Sequestration in GeM course.
COuRSe CONTeNT
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/geochem
The course covers the fundamental and the practical aspects of preparing appropriate geochemical datasets for GeM
using two geochemical software applications, SOlMINeq† and GAMSpATh†.
The topics covered include:
• Assessing reliability of water analyses (SOlMINeq)
• Correction of water analyses to down-hole conditions (SOlMINeq)
• Mixing of waters (SOlMINeq)
• Saturation state of minerals (SOlMINeq)
• Kinetics of mineral reactions (GAMSpATh)
• Assessing probable mineral reactions within a grid block (GAMSpATh)
• Incorporation of water chemistry and mineral reactions in GeM
• GeM case study of short-term and long-term geochemical trapping
ThIS COuRSe IS TAuGhT by AlbeRTA INNOvATeS
– TeChNOlOGy FuTuReS (AITF) peRSONNel.
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TABLE OF
CONTENTS
18
CO2 SequeSTRATION SIMulATION
2-DAyS
AbOuT The COuRSe
pReRequISITeS
Carbon dioxide is emitted in vast quantities through the burning of coal and other fossil fuels for transport, heat, and the
production of electricity. CO2 capture and storage is a practical method for reducing the amount of CO2 released into
the atmosphere. There are presently four accepted methods for storing CO2 in underground geological formations:
• Storage in depleted oil & gas reservoirs
• use of CO2 in enhanced Oil Recovery (eOR)
• use of CO2 in enhanced Coal bed Methane (eCbM) recovery
• Storage in deep aquifers (saline or fresh)
• INTRODuCTION
TO CMG’S
SIMulATION
WORKFlOWS (pg.7)
• GeOCheMISTRy (pg.18)
NeXT STepS
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS
IN buIlDeR & ReSulTS
(pg.8)
• NuMeRICAl TuNING
TeChNIqueS (pg.17)
This training will address the latest methods of CO2 storage. Deep saline aquifers seem to offer the most promise for CO2
storage, as they are widely distributed, underlie most point sources of CO2 emission and are not limited by the reservoir
size, as in the case of depleted oil and gas reservoirs. Also, saline water is not seen to have a use at present or the
foreseeable future due to the associated dissolved solid contents.
WhO ShOulD ATTeND
This two-day course is designed for engineers, geologists, or other technical personnel who would like to learn about
CO2 Sequestration in GeM. Advanced knowledge of CMG simulator functions is required.
COuRSe CONTeNT
This course covers the fundamentals and the practical aspects of the simulation of CO2 storage in saline aquifers with
the eoS geochemical compositional simulator, GeM, developed by CMG. Three important aspects of CO2 storage are
covered: CO2 solubility in brine, residual gas trapping, and mineralization of CO2 over a long period.
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
BACK TO
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CONTENTS
19
www.cmgl.ca/training/co2-seq
The topics covered include:
•
•
•
•
•
•
use of CMG’s Winprop to generate fluid data for GeM
Geochemistry
Modelling gas solubility in the aqueous phase
Relative permeability effects on residual gas trapping
(hysteresis)
Simulation of flow and convection in aquifers
Conversion of CO2 into minerals
Case studies with GeM:
•
•
•
use of vertical and horizontal wells
Injection locations
Investigation of Water-Over-Gas Injection schemes and
associated benefits
The hands on section of the class will cover:
• building CO2 sequestration simulation models
in saline aquifers
• visual and graphical analysis
of simulation results
FORGAS
1-DAy
AbOuT The COuRSe
pReRequISITeS
This course introduces the capabilities of SpT Group Canada ltd.’s FORGAS† coupled to GeM for modelling
the unconventional gas field system, from reservoir to the plant gate. each participant will learn how to use FORGAS
to model pipelines, wells, and field facilities and how to couple the FORGAS surface model to the GeM reservoir model.
participants will learn how to use the predicted field performance to determine how to optimize the field and will gain
“hands-on” experience in field optimization.
• NONe
WhO ShOulD ATTeND
This one-day course covers surface facility network modelling using FORGAS. This course is designed for engineers
or other technical personnel who would like to model the reservoir and the surface facility network as a single system.
Reservoir performance and the effect of gathering systems and compression facilities for unconventional gas fields will
be analyzed. FORGAS will be used to model the pipelines, wellbores and compressors, in conjunction with CMG’s
compositional reservoir simulator, GeM.
COuRSe CONTeNT
•
•
•
•
•
Introduction to FORGAS features and how it couples with GeM
Creating a FORGAS model
link the FORGAS model to an existing GeM CbM model
Run the coupled FORGAS/GeM model to predict field performance over several years
Optimization challenge, evaluating different pipeline sizes, compressor configurations
and enhanced CbM using CO2 injection (eCbM)
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/forgas
ThIS COuRSe IS TAuGhT by SpT GROup CANADA lTD.
for CUrrENT
BACK TO
TABLE OF
CONTENTS
20
21
20
STARS, ADvANCeD pROCeSSeS
& TheRMAl ReSeRvOIR SIMulATOR
STARS, a k‐valued (Kv) based, advanced process reservoir simulator, can be used to model virtually any recovery
process. STARS is especially suited to non‐isothermal, light and heavy oil recovery processes as well as those that
require the modelling of chemical reactions and alkaline‐surfactant‐polymer (ASp) flooding, foamy heavy oil production
and cold heavy oil production. In addition, STARS can model the in-situ formation of emulsions, wax precipitation
and thermal desorption. STARS includes a rigorous, iteratively‐coupled geomechanics module, as well as, integration
with third‐party packages for modelling subsidence and related effects that may occur during recovery.
beNeFITS
•
•
•
•
•
•
Robust modelling for dispersed components
Model single wells, to multi‐well pad and/or field‐scale projects
Simulate formation of emulsions and foams, and predict
asphaltene precipitation/deposition
Accurately visualize changing reservoir dynamics
Design accurate SAGD well pairs
Decrease GOR process while increasing OOIp
recovery with accurate simulation of foamy oil models
ApplICATIONS
•
•
•
•
•
•
Thermal recovery (steam flooding, CSS, SAGD,
vApeX, air injection, electrical heating etc.)
Geomechanics (subsidence & uplift)
Chemical (emulsions, gels, foams, ASp,
microbial, foamy oil)
Solids transport & deposition
Asphaltenes
Sand production
WhAT STuDeNTS ARe SAyING...
•
The instructor was fantastic at giving real life examples and answering questions with additional theory
from outside the course content. (Introduction to Thermal eOR Simulation, September 2012)
•
This class was very helpful for my work. We covered many of the issues that I was having with my own models
and I believe that I will be able to run my models more efficiently after having taken this course.
(Numerical Tuning Techniques for CMG Simulators, September 2012)
•
A good introduction to chemical assisted recovery processes both in terms of physical/chemical background
and in how CMG software seeks to model the scenarios. (Chemical eOR Simulation, June 2012)
•
The practical work was quite helpful. I thought the information regarding ES‐SAGD was quite interesting as well.
(SAGD Simulation, June 2012)
•
I saw the applications to my work right away, especially in circulation and in seeing the effects
of trajectory issues. (Advanced Wellbore Modelling, May 2012)
•
Very comprehensive course. A lot of extra information that is not in the tutorial.
Great job! (SAGD Simulation, December 2011)
BACK TO
TABLE OF
CONTENTS
22
INTRODuCTION TO TheRMAl
eOR SIMulATION
2-DAyS
AbOuT The COuRSe
pReRequISITeS
The course will introduce concepts of the STARS simulator with emphasis on component design and other advanced
features available in STARS. The individual should be familiar with simulation work and have some practical experience
in simulation. CMG’s builder/Results software will be used extensively to create and modify datasets and analyze results.
A hands-on exercise will be included to help new users build a 2-component thermal simulation.
• INTRODuCTION
TO CMG’S SIMulATION
WORKFlOWS (pg.7)
NeXT STepS
• SAGD SIMulATION
(pg.24)
• GeOMeChANICS
(pg.27)
• ADvANCeD WellbORe
MODellING (pg.26)
• CheMICAl eOR
SIMulATION (pg.28)
• NuMeRICAl TuNING
TeChNIqueS (pg.30)
• CO2 eOR SIMulATION
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/thermal-eor
(pg.15)
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• phASe behAvIOuR
MODellING AND pvT
CReATION (pg.33)
• ADvANCeD FeATuReS IN
buIlDeR & ReSulTS (pg.8)
BACK TO
TABLE OF
CONTENTS
23
The course will provide participants enough information and techniques to build a simple STARS dataset and explore the
more complex functions of the STARS simulator.
WhO ShOulD ATTeND
This two-day course is designed for engineers, geologists or other technical personnel who would like to learn the basics
of CMG’s Advanced process and Thermal Simulator STARS. participants should be familiar with using CMG’s
builder & Results software to learn the STARS simulation applications.
COuRSe CONTeNT
•
•
•
•
•
•
•
STARS simulator features and applications
Component concepts and specific functions including reaction kinetics, solid handling, adsorption and others
Review of builder/Results to input and analyze simulation data
exercise on building a 2-component thermal model
exercise on converting an existing black oil dataset into a 3-component STARS dataset
Implementation of Steam Flood, Cyclic Steam, and Water flooding simulation techniques in exercises
Review of more typical advanced STARS datasets including chemical, air injection, foamy oil
and other advanced processes
SAGD SIMulATION
4-DAyS
AbOuT The COuRSe
pReRequISITeS
The course will review the basic concepts of Steam Assisted Gravity Drainage (SAGD) recovery and how to simulate this
process using STARS. After the review of basic concepts the course will provide detailed instruction on the complexities
of simulating this extensively used bitumen recovery process. From laboratory design to actual field implementation,
using the proper numerical simulation technology will greatly enhance the planning and operation of a successful SAGD
implementation. CMG’s builder/Results software will be used extensively to create, modify, and analyze simulation
datasets and their results. participants will learn when/how to use sink-source wells (with heaters and heater wells) as
well as the very robust Flexible Wellbore (FlexWell) in modelling circulation and SAGD phases. The use of CMG’s Semi
Analytical wellbore Model (SAM) will also be discussed and applied to assist in calculation of heat and frictional losses
in wellbores. Dataset optimization and tuning will also be discussed with practice on a single well pair model. hands-on
exercises and examples will be included to assist participants in building a series of typical SAGD simulation datasets.
• INTRODuCTION
TO CMG’S SIMulATION
WORKFlOWS (pg.7)
• INTRODuCTION TO
TheRMAl eOR
SIMulATION (pg.23)
NeXT STepS
• ADvANCeD WellbORe
MODellING (pg.26)
• GeOMeChANICS (pg.27)
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS IN
buIlDeR & ReSulTS (pg.8)
• NuMeRICAl TuNING
TeChNIqueS (pg.30)
• phASe behAvIOuR
MODellING AND pvT
CReATION (pg.33)
WhO ShOulD ATTeND
This four-day course is designed for engineers, geologists or other technical personnel who would like to learn the details
or enhance their knowledge of SAGD simulation using CMG’s advanced process and thermal simulator STARS.
basic CMG builder/Results skills and an understanding of CMG’s STARS application are required to maximize your
understanding of the SAGD simulation course material.
COuRSe CONTeNT
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/sagd
•
•
•
•
•
•
•
•
General STARS simulator features and applications
SAGD process review and key aspects of the design
building of a K-value fluid model in CMG’s Winprop software (based on tuning of an equation-of-state
to laboratory data) and its implementation in the creation of a STARS SAGD dataset
building STARS dataset for SAGD using simple and advanced approaches
Sink/source well, FlexWell, and SAM applications
2D and 3D examples are created and utilized
Incorporation of geological features into full field models
Results analysis using Results Graph, Results 3D, and subsequent tuning of simulation runs
Dynamic gridding (DynaGrid) and SAGD parallelization
eS-SAGD, what to look for and how to incorporate into STARS
BACK TO
TABLE OF
CONTENTS
24
THERMAL AND ADVANCED
PROCESSES SIMULATION
NOTE: THIS COURSE IS ONLY AVAILABLE IN VENEZUELA
5-DAYS
ABOUT THE COURSE
PREREQUISITES
The course will review the basic concepts of enhanced oil recovery using thermal processes and how to simulate them
by using STARS. After the review of basic concepts, the course will provide detailed instruction on the complexities
of simulating these extensively used oil recovery processes. During the course, participants will receive detailed
instruction on the STARS fluid model and the phenomena involved in thermal recovery process and how to represent
them in a simulation model. Participants will have the opportunity to generate a simulation model for each of the studied
processes and analyze and visualize the results of each case. CMG’s Builder/Results software will be used extensively
to create, modify, and analyze simulation datasets and their results. Paradyne (Dynamic Gridding + Parallel Processing)
will be used to efficiently reduce the simulation run times when using STARS.
• INTRODUCTION
TO CMG’S
SIMULATION
WORKFLOWS (pg.7)
• INTRODUCTION TO
THERMAL EOR
SIMULATION (pg.23)
NEXT STEPS
• ADVANCED WELLBORE
WHO SHOULD ATTEND
• GEOMECHANICS
This five‐day course is designed for engineers, geologists or other technical personnel who would like to learn about
the details or enhance their knowledge on simulation of thermal processes such as: CSS, Steam Flooding, SAGD,
ES-SAGD and Air Injection using CMG’s Advanced Process and Thermal Simulator, STARS. Participants should have basic
Builder/Results skills and/or experience using STARS to maximize your understanding of the thermal simulation course
material.
MODELLING (pg.26)
(pg.27)
• ASSISTED HISTORY
MATCHING,
OPTIMIZATION
& UNCERTAINTY
ANALYSIS (pg.35)
• ADVANCED FEATURES
IN BUILDER & RESULTS
(pg.8)
• NUMERICAL TUNING
TECHNIQUES (pg.30)
• PHASE BEHAVIOUR
MODELLING AND PVT
CREATION (pg.33)
COURSE CONTENT
•
•
•
•
FOR CURRENT
SCHEDULE
SCAN THE CODE
ONLINE
REGISTRATION
NOW AVAILABLE
BACK TO
TABLE OF
CONTENTS
25
www.cmgl.ca/training/thermal-vz
•
•
•
•
•
•
General STARS simulator features and applications
Thermal processes review and key aspects of the design
Building a black oil simulation file and convert it into thermal simulation model (K-values)
Building simulation cases for CSS, Steam Flooding, SAGD & ES-SAGD cases
Building an In Situ Combustion model by using Builder (Wizard)
Detailed explanation for the fluid model representation in STARS
Sink/source well, discretized well and Semi Analytical wellbore Model (SAM)
Sensibility analysis for parameters to consider when doing thermal simulation models
Results analysis using graphs, 3D and tuning of simulation runs
Dynamic gridding (DynaGrid) and SAGD run parallelization
ADvANCeD WellbORe MODellING
2-DAyS
AbOuT The COuRSe
pReRequISITeS
This course focuses on advanced wellbore modeling capabilities in STARS. FlexWell, which is a fully-coupled implicit
wellbore model can accurately calculate the pressure and flow profiles in the wellbore and accurately handle the inflow/
outflow between the wellbore and the reservoir. Flexwell is designed to model accurately the fluid pressure transience
in the wellbore, flow rates, flowing liquid fractions, flowing gas fractions, subcools, phase density, and gravity
segregation etc. for each wellbore segment. It can handle accurate well trajectories and can model numerous
wellbore configurations (including concentric tubulars, etc.) commonly used in the industry.
• INTRODuCTION
TO CMG’S SIMulATION
WORKFlOWS (pg.7)
• INTRODuCTION TO
TheRMAl eOR
SIMulATION (pg.23)
NeXT STepS
• SAGD SIMulATION
(pg.24)
• GeOMeChANICS (pg.27)
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS IN
buIlDeR & ReSulTS (pg.8)
This course will use Flexwell to model circulation, start up and SAGD phase using a typical bitumen reservoir model.
effect of various wellbore configurations on production will be analyzed. Comparative analysis of different types
of wellbore models available in STARS and its impact on the SAGD well performance will be performed.
WhO ShOulD ATTeND
This two-day course is designed for engineers, geologists, or other technical personnel who would like to learn about
advanced wellbore modelling in CMG’s STARS simulator. expertise using CMG simulator functions is required to learn
FlexWell and SAM features and applications.
• NuMeRICAl TuNING
COuRSe CONTeNT
• phASe behAvIOuR
•
TeChNIqueS (pg.30)
MODellING AND pvT
CReATION (pg.33)
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/wellbore
•
•
Overview of general STARS simulator features and applications
Steam properties overview
basic theory on FlexWell and SAM in STARS
how to set FlexWell and SAM definitions/keywords in the STARS dataset directly and through CMG’s
builder application
practical exercises using FlexWell and SAM to model thermal recovery processes including SAGD
BACK TO
TABLE OF
CONTENTS
26
GeOMeChANICS
2-DAyS
AbOuT The COuRSe
pReRequISITeS
Attendees will learn the geomechanical concepts from simple dilation/compaction table input to complex finite
element strain/stress approaches. Attendees should be familiar with basic simulation work and have some practical
experience in black oil, compositional, or thermal simulation. Stress-related phenomenon will be discussed including rock
deformation and subsidence. Caprock integrity and modelling of caprock failures will be discussed and illustrated.
Simple elasto-plastic yield to more complex cap models will be explained and demonstrated. Single well to full field
examples of geomechanics simulation in GeM and STARS will be illustrated. Analysis of the simulation runs will
be performed to have a better understanding of these geomechanical features. This course will provide participants
with enough information and techniques to build a complex reservoir simulation dataset with geomechanical effects
and explore the more complex functions of GeM and STARS simulators.
• INTRODuCTION
TO CMG’S
SIMulATION
WORKFlOWS (pg.7)
• INTRODuCTION
TO TheRMAl eOR
SIMulATION (pg.23)
NeXT STepS
• SAGD SIMulATION
(pg.24)
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS
IN buIlDeR & ReSulTS
(pg.8)
• NuMeRICAl TuNING
TeChNIqueS (pg.30)
WhO ShOulD ATTeND
This two-day course is designed for engineers, geologists, or other technical personnel who would like to learn
the geomechanical features in CMG’s GeM and STARS simulators. basic knowledge of CMG simulator functions
is required to learn the geomechanical features and applications.
COuRSe CONTeNT
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
BACK TO
TABLE OF
CONTENTS
27
www.cmgl.ca/training/geomech
•
•
•
•
•
•
•
GeM and STARS simulator geomechanics features and applications including application of geomechanical
coupling to the simulators
Simple dilation/compaction table input, application and limitation
Concepts of complex stress-strain relationship, yielding criteria, linear elasticity, non-linear elasticity
(hypoelastic and hyperelastic), elasto-plastic behaviour and associated constitutive models
(Mohr-Coulomb and Drucker prager), and Generalized plasticity
Keywords used in geomechanical models in GeM & STARS
example models of modelling caprock integrity in thermal simulation and CO2 sequestration simulation
for saline aquifers
Review of builder & Results to input and analyze simulation data
Implementation of a separate Geomechanical Grid (GeoGrid)
use of post-process geomechanic capabilities (running geomechanics on a previously ran reservoir model)
Other example simulation models related to geomechanical features in GeM and STARS applications
CheMICAl eOR SIMulATION
3-DAyS
AbOuT The COuRSe
pReRequISITeS
The course will introduce the basic concepts of chemical flooding and how to simulate this process using the advanced
reservoir simulator STARS. The topics will progress from laboratory design through simulations to field implementation.
Combining laboratory evaluations with the proper numerical simulation technology will greatly enhance the planning
of a successful chemical flooding process. CMG’s builder and Results packages will be used extensively to create,
modify data, and analyze the results. hands-on exercises from laboratory matching to field-scale simulation
will be included to assist users in building a typical chemical flooding dataset.
• INTRODuCTION
TO CMG’S SIMulATION
WORKFlOWS (pg.7)
• INTRODuCTION TO
TheRMAl eOR
SIMulATION (pg.23)
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS* (pg.35)
NeXT STepS
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS IN
buIlDeR & ReSulTS (pg.8)
WhO ShOulD ATTeND
This three-day course is designed for engineers, geologists, or other technical personnel who would like to learn about
the details of chemical flooding simulation with alkaline, surfactants, and/or polymers (ASp) using CMG’s advanced
process and thermal simulator STARS. participants should have basic CMG builder & Results skills and/or experience
using CMG’s STARS to maximize understanding of the processes.
COuRSe CONTeNT
•
•
• NuMeRICAl TuNING
TeChNIqueS (pg.30)
* Recommended prerequisite,
not mandatory
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/chemical-eor
•
basic theory of chemical flooding
Concepts of laboratory evaluations
• Water/oil relative permeability curve changes (interpolation based on composition)
• phase behaviour and interfacial tension lowering
• Coreflood design and evaluation
Construct a STARS simulation dataset to history match an actual laboratory experiment of an ASp core flood
use of CMOST, CMG’s assisted history matching tool, to match the ASp core flood experiment
Scale up to field size simulation models
BACK TO
TABLE OF
CONTENTS
28
CHEMICAL FLOODING
NOTE: THIS COURSE IS ONLY AVAILABLE IN VENEZUELA
5-DAYS
ABOUT THE COURSE
PREREQUISITES
The course will introduce the basic concepts of chemical flooding and how to simulate this process using the advanced
reservoir simulator STARS. The topics will progress from laboratory design through simulation to field implementation.
Combining laboratory evaluations with the proper numerical simulation technology will greatly enhance the planning
of a successful chemical flooding process. Individuals should have some practical numerical simulation experience using a
reservoir simulator. CMG’s Builder and Results packages will be used extensively to create, modify data, and analyze the
results. Hands‐on exercises from laboratory matching through to field scale simulation will be included to assist users
in building a typical chemical flooding dataset.
• INTRODUCTION
TO CMG’S
SIMULATION
WORKFLOWS (pg.7)
• INTRODUCTION TO
THERMAL EOR
SIMULATION (pg.23)
NEXT STEPS
• ASSISTED HISTORY
MATCHING,
OPTIMIZATION
& UNCERTAINTY
ANALYSIS (pg.35)
• ADVANCED FEATURES
IN BUILDER & RESULTS
(pg.8)
WHO SHOULD ATTEND
This five‐day course is designed for engineers, geologists or other technical personnel who would like to learn about
chemical flooding simulation with gels, foams, alkaline, surfactants and/or polymers using CMG’s advanced process
and thermal simulator STARS. Participants should have basic CMG Builder/Results skills and/or experience using
CMG’s STARS to maximize your understanding of the processes.
COURSE CONTENT
•
•
•
•
•
FOR CURRENT
SCHEDULE
SCAN THE CODE
ONLINE
REGISTRATION
NOW AVAILABLE
BACK TO
TABLE OF
CONTENTS
29
www.cmgl.ca/training/chemical-flood
•
Introduction to the approximation of K‐value from the fluid model representation in STARS
Most relevant/important theoretical aspect of the chemical injection: Alkali, Surfactant, Polymers (ASP), gels
and foams. Application/simulation of these processes using STARS
Generating and comparing cases of injection of polymers/gels
History Match techniques for a 2D model from a core flooding with laboratory data
Scaling of a laboratory core flood in a 2D model to a field scale model
Generating a simple model for a foam injection case
NuMeRICAl TuNING TeChNIqueS
FOR CMG SIMulATORS
1-DAy
AbOuT The COuRSe
pReRequISITeS
The course will introduce concepts of CMG simulators - IMeX, GeM, STARS - with emphasis on numerical
tuning and diagnosis of numerical problems. The individual should be familiar with CMG simulation work
and have some practical experience in simulation. Specific analysis techniques - such as analyzing the numerical
output parameters, fine tuning of the input data, diagnosis of small time-step problems, and non-convergence
- for CMG simulator outputs will be examined.
• INTRODuCTION
TO CMG’S SIMulATION
WORKFlOWS (pg.7)
• INTRODuCTION TO
TheRMAl eOR
SIMulATION (pg.23)
NeXT STepS
• ASSISTeD hISTORy
MATChING,
OpTIMIzATION
& uNCeRTAINTy
ANAlySIS (pg.35)
• ADvANCeD FeATuReS IN
buIlDeR & ReSulTS (pg.8)
CMG’s builder/Results software will be used extensively to modify data and analyze results. A hands-on exercise will
be included to help users debug data files. The course will provide a participant enough information and techniques
to fine tune and adjust their own dataset and improve the performance of more complicated simulation processes.
Key factors in tuning and managing dynamic gridding and parallelization will also be discussed.
WhO ShOulD ATTeND
This one-day course is designed for engineers, geologists, or other technical personnel who would like to learn more
about the numerical tuning techniques for CMG simulators with emphasis on the advanced processes and thermal
simulator, STARS. basic CMG builder/Results skills are required to learn the numerical tuning of CMG simulator
applications.
COuRSe CONTeNT
•
•
•
•
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
www.cmgl.ca/training/numerical-tune
•
for CUrrENT
•
•
CMG simulator numerical features
What to look for when numerical problems occur
how to fine-tune the dataset by analyzing the output numerical variables
Which parameters in the numerical section are more sensitive than others
Systematic approach in solving numerical problems and improving calculation efficiency
Reviewing of datasets before and after numerical tuning
hints on getting the most out of dynamic gridding and parallelization (including defining of custom planes)
BACK TO
TABLE OF
CONTENTS
30
MODELLING OF CARBONATE NATURALLY
FRACTURED RESERVOIRS
ABOUT THE COURSE
3-DAYS
PREREQUISITES
• INTRODUCTION
TO CMG’S
SIMULATION
WORKFLOWS (pg.7)
• INTRODUCTION TO
THERMAL EOR
SIMULATION (pg.23)
The course will start by covering the geological aspects of carbonate fractured reservoirs, NFRs, in terms of matrix and fractures
characterization and determination of its intrinsic and effective properties needed for reservoir modelling. The course will explore
the concepts of Wettability, Pc and Kr curves of carbonate reservoirs. Based on the type of the Carbonate NFR, the course
demonstrates the modelling of oil recovery process via dual continua modelling with its variations depending on secondary and
tertiary recovery method. The application of these models will be demonstrated through practical tutorials addressing the variable
oil recovery mechanisms.
CMG’s Builder/Results software will be used extensively to create, modify, and analyze simulation datasets and their results.
Participants will learn on how to setup and design modelling data sets using IMEX, GEM and STARS of dual porosity, MINC,
Subdomain, dual permeability and SD-DK problems.
WHO SHOULD ATTEND
NEXT STEPS
• PHASE BEHAVIOUR
MODELLING AND PVT
CREATION (pg.33)
• ASSISTED HISTORY
MATCHING,
OPTIMIZATION
& UNCERTAINTY
ANALYSIS (pg.35)
This three-day course is designed for engineers, geologists or other technical personnel who would like to learn the details or
enhance their knowledge of modelling of Carbonate Naturally Fractured Reservoirs with CMG’s Black Oil Simulator, IMEX,
Geochemical EOS Compositional Simulator, GEM, and Advanced Process and Thermal Simulator, STARS. Basic CMG Builder/
Results skills and an understanding of CMG’s Black Oil, Compositional and Thermal simulation is required.
COURSE CONTENT
• ADVANCED WELLBORE
•
• NUMERICAL TUNING
•
MODELLING (pg.26)
TECHNIQUES (pg.30)
FOR CURRENT
SCHEDULE
SCAN THE CODE
ONLINE
REGISTRATION
NOW AVAILABLE
BACK TO
TABLE OF
CONTENTS
31
www.cmgl.ca/training/carbon-nf
•
•
Characterization of Carbonate Naturally Fractured Reservoirs
• Characterization of Fractures
Intrinsic vs. Effective properties
• Wettability, Pc and Kr curves of Carbonate Reservoirs
• Types and Identification of Naturally Fractured Reservoirs
Modelling of Carbonate Naturally Fractured Reservoirs
• Single vs Dual Continua Modelling
• Standard Dual Porosity Model
• Modelling of Matrix-Fracture Transfer Function
Recovery Mechanisms of Carbonate Naturally Fractured
Reservoirs
• Displacement Mechanisms
• Gravity Drainage in O-W and G-O Systems
• Capillary Forces in O-W and G-O Systems
• Combination of Gravity and Capillary Forces
• Viscous and Diffusion Displacement in Naturally Fractured
Reservoirs
•
•
Enhancement of Dual Porosity Modelling
• Multiple Interacting Continua Dual Porosity Modelling
• Subdomain or Vertical Refinement Dual Porosity Modelling
• Dual porosity-dual permeability modelling
• Subdomain Dual Permeability Modelling with and
Without Reinfiltration.
Thermal Recovery of Carbonate Naturally Fractured
Reservoirs
• Alberta Untapped Carbonate Recourses
• Effect of Temperature on IFT, Wettability, Pc
and Relative Permeability
• Oil Recovery Mechanisms During Steam Flooding
Carbonate Reservoirs
• Application of Steam injection in Carbonate Reservoirs.
WINpROp, phASe-behAvIOuR
& FluID pROpeRTy pROGRAM
Winprop, an equation‐of‐State (eoS) engineering tool, clarifies property distribution within the reservoir fluid system
under various depletion scenarios, and the interaction with injected fluids, from small‐scale lab experiments
to large‐scale field projects. Winprop is a fluid property characterization application for creating tuned fluid property
descriptions for IMeX, GeM and STARS. Winprop accurately characterizes reservoir fluid systems through matching
or laboratory pvT experiments; miscibility studies; wax prediction and asphaltene deposition; and surface separation
facility simulation. Winprop incorporates a user friendly graphical interface that makes preparing data and interpreting
results more effective and efficient.
beNeFITS
•
•
Tune eoS to accurately model your lab experiments
& predict fluid behaviour
Improve understanding of reservoir exploitation process
ApplICATIONS
•
•
•
•
•
laboratory analysis
eoS parameter regression
Simulator fluid sections
Reservoir fluid characterization
Miscibility prediction
WhAT STuDeNTS ARe SAyING...
•
The course material is well planned, very informative
(phase behaviour Modelling & pvT Creation using Winprop, September 2012)
•
The instructor did a great job explaining portions of theoretical aspects of this course (EoS, EOR processes, PVT
modelling…). I also found the exercises to be quite helpful
(phase behaviour Modelling & pvT Creation using Winprop, January 2012)
BACK TO
TABLE OF
CONTENTS
32
phASe behAvIOuR
MODellING AND pvT CReATION
2-DAyS
AbOuT The COuRSe
pReRequISITeS
This course will discuss techniques for characterizing the heavy end of a petroleum fluid, lumping of components,
matching laboratory pvT data through regression, simulation of first and multiple contact miscibility, and phase
diagram generation. This course will present a comprehensive description of the steps involved in tuning an eoS
to obtain a fluid model suitable for inclusion in CMG’s GeM, STARS, or IMeX simulator datasets. participants will
learn how to use laboratory measured data to tune the eoS for use in reservoir simulation. All this will be followed
by discussions on the analysis of the results generated by Winprop.
• NONe
NeXT STepS
• GeOCheMISTRy (pg.18)
• CO2 SequeSTRATION
SIMulATION (pg. 19)
• ADvANCeD FeATuReS
IN buIlDeR & ReSulTS
(pg.8)
• NuMeRICAl TuNING
TeChNIqueS (pg.30)
WhO ShOulD ATTeND
This two-day course is for engineers or other technical personnel who would like to use Winprop to predict phase
behaviour of reservoir fluids as well as characterize these fluids for reservoir simulation. enhanced oil recovery
background and some knowledge of phase behaviour modelling are required.
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
BACK TO
TABLE OF
CONTENTS
33
www.cmgl.ca/training/phase-pvt
COuRSe CONTeNT
pvT lab experiment matching using regression technique. using tuned eoS to create pvT data file for IMeX, GeM
and STARS simulators.
• Introduction to Winprop to be used as phase behaviour calculations
• Techniques in splitting, lumping and grouping of heavier hydrocarbons
• use of Multi-phase Flash calculations and creation of phase envelopes
• Matching of various laboratory experiments and eoS tuning by regression, including:
• Saturation pressure
• Gas-Oil Ratio (GOR)
• Swelling Test
• Determination of Minimum Miscibility pressure (MMp) and Multi-Contact Miscibility (MCM)
• Differential liberation (Dl) and Constant Composition expansion (CCe)
• viscosity as a function of pressure and/or Temperature
• Output of different Fluid Model types for black-Oil (IMeX), K-value (STARS), and Compositional (GeM)
CMOST, eNhANCe & ACCeleRATe
SeNSITIvITy ANAlySIS, hISTORy MATChING,
OpTIMIzATION & uNCeRTAINTy ANAlySIS
CMOST, in conjunction with CMG reservoir simulators, enhances and accelerates the four key tasks of reservoir
simulation: sensitivity analysis; history matching; optimization; and uncertainty assessment. Done properly, the results
from these four tasks will dramatically increase confidence in the simulation model. CMOST uses experimental design
(eD) methodologies and algorithms to automatically build, run and analyze simulations built for IMeX, GeM and STARS.
beNeFITS
•
•
•
•
•
•
•
•
Optimize Npv through reservoir uncertainty
Increase confidence in forecasts
Increase asset team effectiveness through optimization
Improves efficiency of reservoir engineers
Create more accurate models in dramatically less time
Optimize a field development plan with reduced time
Speed up history matching
quantify uncertainty and sensitivity
ApplICATIONS
•
•
•
•
Sensitivity Analysis
history matching
uncertainty Assessment
Optimization
WhAT STuDeNTS ARe SAyING...
•
With all the time you could save efficiently using CMOST, it becomes a powerful tool
(Assisted history Matching, Optimization & uncertainty Analysis, August 2011)
•
Going through each type of task for CMOST, I am able to look at the program more as a whole and understand
how they relate together (Assisted history Matching, Optimization & uncertainty Analysis, August 2011)
•
Use of live examples and hands‐on techniques were useful. Ability to show applicability and knowledge base
of the instructor was also impressive (Assisted history Matching, Optimization & uncertainty Analysis, April 2011)
BACK TO
TABLE OF
CONTENTS
34
ASSISTeD hISTORy MATChING,
OpTIMIzATION & uNCeRTAINTy ANAlySIS
2-DAyS
AbOuT The COuRSe
pReRequISITeS
• INTRODuCTION
CMOST is CMG’s assisted history Matching, Optimization, Sensitivity Analysis, and uncertainty Assessment software
which has been designed to work with all of CMG’s reservoir simulation products. This course introduces the participant
to these four components of CMOST, from a practical, applied approach. The theoretical basis of optimization algorithms
is introduced with the focus being on the application of the software to real world problems.
NeXT STepS
WhO ShOulD ATTeND
TO CMG’S
SIMulATION
WORKFlOWS (pg.7)
• SIMulATION OF ShAle,
TIGhT OIl & GAS
ReSeRvOIRS (pg.13)
• CbM SIMulATION
(pg.14)
• CO2 eOR SIMulATION
(pg.15)
• CheMICAl eOR
SIMulATION (pg.28)
This two-day course is for the experienced reservoir simulation engineer or other technical personnel who would like
to learn the techniques of history Matching, Optimization, Sensitivity Analysis, and uncertainty Assessment.
The knowledge of how to use all of CMG’s reservoir simulation products - IMeX, GeM, STARS - is a prerequisite.
participants should be familiar with using CMG’s builder/Results software.
COuRSe CONTeNT
•
•
•
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
BACK TO
TABLE OF
CONTENTS
35
www.cmgl.ca/training/hist-match
•
Introduction to the four components of CMOST
• Sensitivity analysis
• history matching
• Optimization
• uncertainty assessment
Introduction to the CMOST Studio, explain how to create the CMOST data files, i.e. master data set, and task file
exercises which demonstrate each of the four CMOST components
Discussion on experimental design theory and implemented correlations
Optimization by way of a classic approach (running of different datasets determined by experimental design)
Optimization by way of a proxy-modeling approach
ASSISTED HISTORY MATCHING, OPTIMIZATION
& UNCERTAINTY ANALYSIS USING STARS
NOTE: THIS COURSE IS ONLY AVAILABLE IN VENEZUELA
3-DAYS
ABOUT THE COURSE
PREREQUISITES
During this course the participants will create a Black Oil simulation model using the pre-processing tool, Builder.
They will perform a sensitivity analysis using some reservoir parameters that allows the final selection of the best options
for applying an assisted history match process with CMOST. The participants will perform a conversion of this history
matched black oil case to a STARS thermal model (K‐values). At the end, the participants will use the Optimization function
options available in CMOST for selecting the best strategy for the application of a CSS at the reservoir model.
• INTRODUCTION
TO CMG’S SIMULATION
WORKFLOWS (pg.7)
NEXT STEPS
• INTRODUCTION TO
THERMAL EOR
SIMULATION (pg.23)
WHO SHOULD ATTEND
This three‐day course is for the experienced reservoir simulation engineers or other technical personnel who would like
to learn the techniques of Sensitivity Analysis, History Matching, Optimization, and Uncertainty Assessment
and also its applicability in a thermal simulation model using STARS. Participants should be familiar with using CMG’s
Builder/Results software.
COURSE CONTENT
•
•
•
•
•
•
FOR CURRENT
SCHEDULE
SCAN THE CODE
ONLINE
REGISTRATION
NOW AVAILABLE
www.cmgl.ca/training/cmost-stars
•
Building a simulation model by using Builder: Import Rescue Model, PVT, SCAL, Recurrent Data, etc.
Introduction to the four components of the CMOST: Sensitivity analysis, History matching, Optimization
& Uncertainty assessment
Introduction to the CMOST Studio, explain how to create the CMOST data files, i.e. master data set, and task file
Using the Builder options for generating automatic cyclic injection
Conversion of a Black Oil model into a STARS model (K‐value)
Optimizing a Cyclic Steam Stimulation case by using CMOST
Analyze/Visualize results from the optimized thermal model
BACK TO
TABLE OF
CONTENTS
36
ASSISTeD hISTORy MATChING, OpTIMIzATION
& uNCeRTAINTy ANAlySIS uSING IMeX
NOTe: ThIS COuRSe IS ONly AvAIlAble IN veNezuelA
3-DAyS
AbOuT The COuRSe
pReRequISITeS
During this course the participants will create a black Oil simulation model using the pre-processing tool, builder.
They would perform a sensitivity analysis using some reservoir parameters that allows the final selection of the best option
for applying an assisted history match process with CMOST. At the end, an Optimization would be applied
to the forecast in order to select the optimum operating strategy for the application of an alternate water and gas
injection process (WAG).
• INTRODuCTION
TO CMG’S
SIMulATION
WORKFlOWS (pg.7)
WhO ShOulD ATTeND
This three‐day course is for the experienced reservoir simulation engineers or other technical personnel who would like
to learn the techniques of Sensitivity Analysis, history Matching, Optimization, and uncertainty Assessment. participants
should be familiar with using CMG’s builder/Results software.
COuRSe CONTeNT
•
•
•
•
•
•
•
for CUrrENT
sChEDUlE
sCaN ThE CoDE
oNliNE
rEgisTraTioN
Now availablE
BACK TO
TABLE OF
CONTENTS
37
www.cmgl.ca/training/cmost-imex
•
•
Create a simulation model using the black‐oil pre‐processor builder: Import a geological model in Rescue formats,
include information of fluids, fluids and rock recurring data available
Introduction to the four components of the CMOST: Sensitivity analysis, history matching, Optimization &
uncertainty assessment
Introduction to the CMOST Studio, explain how to create the CMOST data files, i.e. master data set, and task file
perform a sensitivity analysis on reservoir parameters and later assisted history matching using CMOST
Generating a restart of the simulation to proceed to make predictions
Generating a WAG process using the automated injection cycles in builder
use available CMOST Optimization feature to generate the optimal strategy for implementing WAG
use the options available in Results Graph and Results 3D to analyze / visualize the results
exercise and tutorial
custom training courses
Air Injection Simulation
This course will review the basic concepts of the In‐Situ Combustion recovery process and its simulation using STARS. After the review of basic
concepts, the course will provide detailed instruction on the complexities associated with modelling this process. CMG’s Builder/Results software
will be used extensively to create, modify, and analyze simulation datasets and their results. Combustion reaction kinetics with examples using
the In-situ combustion wizard in Builder will be discussed. Hands‐on exercises and examples will be included to assist participants in building
combustion tube experiments and field scale combustion models for both heavy and light oil reservoirs.
Gas Hydrate Simulation USING STARS
This course will review the basic concepts of Gas Hydrates with emphasis on gas hydrate simulation in porous media. Phase behaviour of gas
hydrates, kinetics of formation and dissociation of gas hydrates, gas hydrates distribution in porous media and its effects on reservoir properties
(porosity/permeability) as it forms or dissociates will be discussed. Simulation models for different recovery methods like depressurization and
hot water cycling etc. will be constructed and analyzed using hands-on examples in STARS.
Asphaltene Modelling
This course covers the phase behaviour and numerical modelling of asphaltenes using GEM and STARS. Fluids are first characterized with
the use of CMG’s fluid modelling package WinProp to match data from laboratory experiments. The course then guides the user through the
process of transferring the fluid model into the simulation model. Additional simulation scenarios and case studies are performed and analyzed
to see the effects of asphaltene flocculation, deposition and permeability reduction etc. using the STARS models.
Foamy Oil Simulation
This course covers an overview and basic concepts of foamy oil fluid behaviour. The mathematical framework for modelling this behaviour using
a numerical simulator and comparison with experimental data will be discussed. The three approaches of modelling foamy oil (i.e. Psuedo
single phase model, two phase model and the kinetic model) will be discussed in detail. Real field case studies will be used to illustrate the
foamy oil modelling concepts. Students are guided through the process of matching simulation results to laboratory data then going from
laboratory size simulation to full field simulation using STARS.
Fines Migration Simulation
The pores of reservoir rocks often have small clay particles attached to their walls. These particles are harmless as long as they stay there.
If a change in chemical properties of the pore fluid makes them lose their grip, a rapid degradation of permeability may occur. In serious
cases, the increased pressure gradients near the well caused by the permeability reduction may generate stress fields high enough to fracture
the rocks. Migration is caused by a change in ionic strength of the water in the pores, or mechanical dislodgement due to drag forces exerted
on the particles. This course covers an overview of fines migration behaviour. Concepts such as wettability shift due to temperature changes are
also discussed. A numerical method of modelling the effect of fines plugging and wettability shift is explored with hands on examples.
Reservoir Simulation Fundamentals
Note: This course is only available in HOUSTON
The course’s primary focus is on simulation fundamentals, capabilities, and weaknesses but the student should be able to write their own simple
1D or 2D black‐oil simulator by the end of the class. The course covers the basic equations for single phase flow, mass balances, Darcy’s
law, and the Diffusivity equation. Numerical, finite difference techniques for solving these equations are then presented with an emphasis on
implicit versus explicit techniques and methods for solving systems of the linear and nonlinear equations that arise. Several interactive, hands‐on
examples are completed in class.
Multiphase flow equations, formation volume factors, PVT and phase behaviour, petrophysical relationships, and well models
are reviewed. Methods for solving these equations (IMPES and Fully Implicit) are introduced with more hands‐on
examples. Finally, a number of special topics are discussed including compositional models, natural
and hydraulic fractures, history matching, the finite element method, and stability.
Instructor: Matt Balhoff, Assistant Professor of Petroleum Engineering, UT‐Austin
BACK TO
TABLE OF
CONTENTS
38
39
INSTRUCTORS
423 years
combined
reservoir
simulation
experience
• PhD 4
• Masters15
• Bachelor
of Science 9
• Other 3
•
Anjani Kumar, Calgary
Anjani, Manager ‐ Consulting, Support and
Training, has over 12 years of reservoir
engineering experience both in the field and
at CMG. Anjani is an expert in heavy oil
recovery processes, chemical EOR and
unconventional oil and gas reservoir
simulation. He holds a Master of Science, Chemical Engineering from the University
of Calgary and a Bachelor of Technology,
Petroleum Engineering from the Indian School of
Mines. Anjani and his team are responsible for
providing unparalleled support to our
customers in the Consulting, Support and Training
department.
Fraser Skoreyko, Dubai
Fraser, Chief Reservoir Engineer – Major
Projects, has over 30 years of industry
experience, with a particular expertise in heavy
oil and enhanced oil recovery reservoir simulation. Fraser’s knowledge and expertise is vast;
however, he is focused on chemical EOR, steam
flooding, and in‐situ combustion. Fraser holds a
Bachelor of Science, Mechanical
Engineering from the University of Calgary.
Throughout his 20‐year career at CMG, Fraser
remains focused on providing technical expertise
and guidance on customer field study projects.
Allan Hiebert, Calgary
Allan, an Advisory Engineer, brings over 25
years of CMG experience to the consulting,
support and training team. Allan is an expert
in pre- and post-processing and the simulation
of electrical and steam EOR processes. He holds
a PhD, Master of Science and a Bachelor
of Science, all in Electrical Engineering from
the University of Alberta, plus an MBA from the
University of Manitoba. Throughout his career at
CMG, Allan has been integral to the
development of Builder and Results and
significantly contributed to the development
of DRMS, the next generation reservoir
simulation platform.
Abe Doroudi, Dubai
Abe, Regional Manager – Central Africa, has
25 years of reservoir simulation experience. Abe
specializes in thermal and chemical EOR
processes. He holds a Master’s of Science,
Industrial Engineering and two Bachelor
of Science degrees in Petroleum Engineering
and Mathematics. Abe currently manages all
technical services for the Middle East region and
conducts public and customized training
at various locations throughout the Eastern
Hemisphere.
ADRIAN THOMAS, Calgary
Adrian, a Reservoir Simulation Engineer, has
over six years industry experience. Adrian is
specializing in unconventional gas (tight gas,
shale gas & liquids rich), hydraulic fracturing
and reserves evaluation. He holds a Bachelor
of Science, Oil and Gas Engineering from
the University of Calgary.
Alex Novlesky, Calgary
Alex, a Reservoir Simulation Engineer, is an
expert in the simulation of unconventional oil or
gas (CBM, shale & tight), hydraulic fracturing,
microseismic, optimization and uncertainty
analysis. He holds a Bachelor of Science, Oil
& Gas Engineering degree from the University
of Calgary. Alex started with CMG in the
visualization team, assisting with the development
and testing of Builder, Results, CMOST and
Launcher before joining the Consulting, Support
and Training team. Alex is currently the training
coordinator for the Calgary office.
Alireza Qazvini Firouz, Calgary
Alireza, a Reservoir Simulation Engineer, recently
joined CMG and brings over six years of oil and
gas experience to the company. Alireza
specializes in PVT modelling, SAGD recovery
processes and compositional simulation. He
holds a Master of Science, Petroleum Systems
Engineering, from the University of Regina and
a Bachelor of Applied Science, Petroleum
Engineering, from the Petroleum University
of Technology in Iran.
Amir Moradi, Dubai
Amir, a Reservoir Simulation Engineer, has over
10 years of reservoir engineering experience,
both in the field and at CMG. Amir’s expertise
lies in advanced thermal EOR processes (steam
flooding, CSS, SAGD, ES-SAGD) and PVT
analysis. He holds a Master of Engineering,
Reservoir Engineering from the University of
Calgary and a Bachelor of Science, Mining
Engineering from Azad University in Iran.
Amin Badamchizadeh, Calgary
Amin, a Senior Reservoir Simulation Engineer,
is an expert in the simulation of heavy oil and
bitumen recovery techniques, enhanced oil
recovery, advanced wellbore modelling,
asphaltene precipitation and phase behaviour
modelling. He holds a PhD in Petroleum Reservoir
Engineering and Master of Engineering,
Petroleum Reservoir Engineering, both from the
University of Calgary. In addition, he holds a
Bachelor of Science, Chemical Engineering from
the Sahand University of Technology in Iran.
Argenis Alvarez, Bogota
Argenis, a Reservoir Simulation Engineer, recently
joined CMG and brings over 12 years of
industry experience in medium and heavy oil
simulation to the company. Argenis specializes in
thermal EOR processes, cyclic steam stimulation
(CSS), steam flooding, and in-situ combustion. He
holds a Bachelor of Science, Petroleum
Engineering and an Integrated Reservoir
Management Specialist degree, both from the
Universidad Central de Venezuela.
Arnaldo VeLasquez, Caracas
Arnaldo, a Reservoir Simulation Engineer, has
eight years’ experience providing support and
training throughout Latin America and the
Caribbean, with a particular expertise in heavy
oil reservoir simulation. Arnaldo specializes in
thermal EOR processes, CSS, steam flooding,
in‐situ combustion, chemical EOR and
geomechanics. He holds a Bachelor of Science,
Petroleum Engineering from the
Universidad de Oriente
in Venezuela.
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INSTRUCTORS
Bob Brugman, Houston
Bob, a Senior Reservoir Simulation Engineer, has
over 30 years of industry experience, with a
specialty in enhanced oil recovery simulation.
Bob’s expertise encompasses primary recovery
processes, and compositional simulation. He
holds a PhD and Master of Science both in
Chemical Engineering from the University of
Florida and a Bachelor of Science, Chemical
Engineering from the University of North Dakota.
Carlos Granado, Caracas
Carlos, Manager ‐ Venezuela and Trinidad, has
over 15 years of industry experience, both in the
field and at CMG. Carlos’ expertise includes
reservoir characterization and thermal recovery
processes, including CSS and steam flooding.
He holds a Master of Science, Reservoir
Evaluation and Management from Heriot‐Watt
University and a Bachelor of Science, Petroleum
Engineering from the Universidad Central de
Venezuela. Carlos applies his extensive
experience in heavy oil reservoir simulation and
fluid characterization to provide unparalleled
support and training to his customers.
COLIN CARD, Calgary
Colin, a Senior Advisor – CST, has over 45
years of industry experience. Throughout his
career, Colin has worked at a Super Major,
a Major Independent, CMG while also
balancing an Adjunct Professor role at the
University of Calgary. Colin’s knowledge and
expertise is vast; however, he is focused on
thermal recovery processes, numerical tuning,
wellbore modelling, and geological model
optimization. He holds a Bachelor of Science,
Chemical Engineering and a Ph.D, Chemical
Engineering both from the University College
of Swansea, Wales.
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41
Dwarak Uthayashankar, Dubai
Dwarak, a Reservoir Simulation Engineer, has
over five years industry experience, both in
the field and at CMG. Dwarak specializes in
advanced wellbore modelling, thermal recovery
processes, unconventional reservoirs (CBM),
chemical flooding, numerical tuning and steam
flooding. He holds a Master of Science,
Petroleum Engineering from Heriot‐Watt University
and a Bachelor of Technology, Applied
Petroleum Engineering from the University of
Petroleum and Energy Studies in India.
Erykah Bityutsky, Dubai
Erykah, a Reservoir Simulation Engineer,
started her oil and gas career with CMG in
Calgary. She now brings her expertise in primary
recovery, SAGD, steam flooding, advanced
wellbore modelling, heavy oil reservoir
simulation, optimization and uncertainty analysis
to customers in the Eastern Hemisphere. She
holds a Bachelor of Science, Oil and Gas
Engineering from the University of Calgary.
Gary Lifshits, Calgary
Gary, a Reservoir Simulation Engineer, recently
joined CMG and brings a background in
consulting support to customers working on heavy
oil waterflood projects. Gary is specializing in
the simulation of SAGD and thermal recovery
processes. He holds a Bachelor of Science,
Mechanical Engineering from the University of
Calgary.
Helen Ha, Calgary
Helen, a Reservoir Simulation Engineer, recently
joined CMG and brings over four years of
industry experience in enhanced oil recovery
simulation. Helen is a specialist in thermal recovery processes, chemical EOR simulation and
optimization. She holds a Bachelor of Science,
Chemical Engineering, with a minor in Petroleum
Engineering, from the University of Calgary.
Jeremy Walter, Calgary
Jeremy, a Reservoir Simulation Engineer, has
close to five years of industry experience, with a
particular focus on SAGD and thermal simulation
for heavy oil reservoirs, geomechanics, CO2
EOR recovery processes, CO2 sequestration and
optimization. Jeremy has used his expertise
in these areas to develop many of the current
training courses CMG offers. He holds a Bachelor of Science, Petroleum Engineering from the
Colorado School of Mines.
Juan Mateo, Rio de Janeiro
Juan, a Reservoir Simulation Engineer, has 20
years of industry experience, both in the field
and at CMG, with a particular emphasis on
the simulation of thermal enhanced oil recovery
techniques. He holds a Master of Science,
Science and Petroleum Engineering from the
State University of Campinas in Brazil and a
Master of Science, Petroleum Engineering from
the Russian State University.
Juan Carlos VILLAR, Caracas
Juan Carlos, a Reservoir Simulation Engineer,
has 14 years of industry experience, both
in the field and at CMG, with a particular focus
on numerical simulation. Juan’s expertise lies in
thermal EOR processes, CSS, steam flooding,
insitu combustion, chemical EOR and
geomechanics. He holds a Master of
Engineering, Integrated Reservoir Management
and a Bachelor of Science, Petroleum
Engineering, both from the Universidad Central
de Venezuela.
Kanhaiyalal Patel (K.P.), Houston
KP, a Reservoir Simulation Engineer, has over
eight years of industry experience, with a
particular focus on unconventional gas on
unconventional gas reservoir simulation and
fracture modelling design. His expertise
encompasses primary recovery processes,
waterflooding, optimization, shale and tight
oil and gas. He holds a Master of Science,
Petroleum Engineering from the University of
Alaska and a Bachelor of Science, Petrochemical
Engineering from the Dr. Babasaheb Ambedkar
Technological University in India.
INSTRUCTORS
Khayyam Farzullayev, Dubai
Khayyam, a Reservoir Simulation Engineer,
has over eight years of industry experience
working as a reservoir engineer for an
operator throughout Europe. He holds a
Master of Science, Petroleum/Reservoir
Engineering from the Norwegian University
of Science and Technology and a Bachelor
of Science, Petroleum/Reservoir
Engineering from the Azerbaijan State Oil
Academy.
Marco Misenta, London
Marco, a Reservoir Simulation Engineer,
has over six years of industry experience
working as a reservoir engineer throughout
Europe, with a particular focus on
unconventional reservoir studies. His
expertise encompasses thermal recovery
studies for heavy and extra heavy oil fields.
He holds a Master of Science in Physics
from the Universita’ degli Studi dell’Insubria
in Italy.
Oscar Cortes Martinez, Calgary
Oscar, a Senior Petroleum Engineer, brings
over 15 years of industry experience,
working with a national oil company
to CMG. Oscar’s expertise includes
clastic and carbonate fractured reservoirs,
simulation of chemical EOR projects, CSS
and steam flooding. He holds a Master
of Science, Petroleum Engineering and a
Bachelor of Science, Petroleum Engineering
both from the National University of
Mexico.
Sergio Cilento, Caracas
Sergio, a Reservoir Simulation Engineer, has
15 years of industry experience working
in Latin America with a particular focus on
the simulation of thermal heavy oil projects
including CSS, steam flooding, in‐situ
combustion, chemical EOR and
geomechanics. He holds a Master of
Science, Exploration and Production from
the Instituto Superior de la Engeria in Spain,
in conjunction with his Masters, Sergio
has a Geology Mention from Heriot Watt
University. In addition, he has a Bachelor
of Science, Petroleum Engineering from the
Universidad Central de Venezuela.
Shawket Ghedan, Calgary
Shawket, a Reservoir Simulation Engineer
Advisor, has extensive industry experience
working at the Petroleum Institute, a national
oil company, and an oilfield service
company. Shawket’s expertise encompasses
reservoir characterization, waterflooding,
carbonate fractured reservoirs, CO2
compositional simulation, chemical flooding
and recovery from tight formations. He
holds a PhD in Reservoir Engineering,
and a Master of Engineering, Reservoir
Engineering both from the Colorado School
of Mines and a Bachelor of Science,
Petroleum and Minerals Engineering from
the University of Baghdad. Shawket was
an SPE Distinguished Lecturer (2005-06),
and received the SPE MENA Reservoir
Description and Dynamics Award (2009),
the SPE Outstanding Editor award (2010),
and the SPE MENA Distinguished Petroleum
Engineering Faculty award (2011).
Thanh Nguyen, Houston
Thanh, a Reservoir Simulation Engineer, has
over 10 years of industry experience
working with NOCs throughout Asia and
the USA. Thanh specializes in
geomechanics, chemical EOR and
optimization. Thanh holds a Bachelor of
Science, Civil Engineering from the
University of Ho Chi Minh in Vietnam, a
Master of Science, Petroleum Engineering
from the University of Tulsa. He’s currently
working on his PhD, Petroleum Engineering
dissertation at the University of Texas,
Austin.
Varun PathAk, Calgary
Varun, a Reservoir Simulation Engineer,
has 5 years of industry experience working
throughout India and Canada. Varun’s
expertise includes fractured carbonate
reservoirs, geomechanics and
unconventional reservoir simulation,
specifically for shale, tight oil and gas
reservoirs. He holds a Bachelor of
Technology, Petroleum Engineering from
the Indian School of Mines and a Master
of Science, Petroleum Engineering from the
University of Alberta.
Victor Lara, Caracas
Victor, a Reservoir Simulation Engineer, has
over 10 years of industry experience
specializing in cold production simulation
and thermal EOR techniques for heavy and
extra heavy oil reservoirs, including CSS,
steam flooding, and in‐situ combustion. He
holds a Bachelor of Science, Chemical
Engineering from the Simon Bolivar
University in Venezuela.
Victor Salazar, Bogota
Victor, Manager – Latin America, has spent
the majority of his 20 year career with
CMG working throughout Latin America.
He holds a Master of Science, Petroleum
Engineering from the Universidade Esadual
de Campinas in Brazil and a Bachelor of
Science, Petroleum Engineering from the
Universidad de America in Colombia.
Victor and his team are committed to
providing all customers in Latin America
and the Caribbean with unparalleled
support and delivering superior software
technologies.
Vikram Chandrasekar, Houston
Vikram, a Reservoir Simulation Engineer,
has over five years of industry experience
with a particular focus on the modelling of
chemical flood processes. Vikram’s expertise
encompasses low salinity waterflooding,
reservoir geochemistry, microemulsions,
chemical flooding, waterflooding, CO2
sequestration and thermal recovery
processes. He holds a Master of Science,
Petroleum Engineering from the University of
Texas, Austin and a Bachelor of Technology,
Chemical Engineering from Anna University
in India.
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TRAINING LOCATIONS
Calgary
Two Executive Place
200, 1824 Crowchild Trail NW
Caglary AB, T2M 3Y7 Canada
+1.403.531.1300
training@cmgl.ca
Houston
Paragon Center One
450 Gears Road, Suite 860
Houston, TX 77067 U.S.A.
+1.281.872.8500
trainingusa@cmgl.ca
Caracas
Centro Profesional Eurobuilding, Piso 2, Ofic. 2‐A
Calle La Guairita, Urbanización Chuao, Municipio Baruta,
Caracas, Venezuela
+58.212.993.0463
trainingsa@cmgl.ca
London AREA
Suite 4, Isis Building
Howbery Park
Wallingford, United Kingdom OX10 8BA
+44.1491.821.111
trainingeurope@cmgl.ca
Dubai
Dubai Internet City (DIC) Building 12, Office #320
PO Box 500 466
Dubai, United Arab Emirates
+971.4.434.5190
trainingme@cmgl.ca
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TRAINING@CMGL.CA
WWW.CMGL.CA
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