Options, Strategies, and Critical Points
in adjusting a
Data Management Organization
By Garry Nikola Kolafa,
Petroleum Development Support Group
Kuwait Oil Company,
a Subsidiary of Kuwait Petroleum Corporation
PNEC
Petroleum Network Education Conferences
12th International Conference
On
Petroleum Data Integration
Information Management and Data Management
Copyright 2008
Philip C. Crouse and Associates, Inc.
Ministry of Oil, Kuwait
All Rights Reserved
Data Management at KOC
• Historically Data Management develops from the
Exploration Side of operations rather than the Production
Side of operations, due to the large amounts of data that
are acquired and processed. These large amounts,
made it imperative to dedicate resources to the pure
management of data.
• At KOC a large part of the Exploration Data was handled
by Contractors rather than in-house.
• Production Data Management was initialized, conducted,
and developed in-house KOC for its’ own growing needs
due to these activities.
• Because of this atypical development and impending
targets set by management, we found it necessary to
restructure and expand data management to meet these
goals.
Created by:Garry Kolafa
KOC Targets & Growth
• Increasing Production from 2.5 to 4 million bpd by 2020
KOC Targets & Anticipated Growth
4.5
4
100000
3.5
3
80000
2.5
60000
2
1.5
40000
1
Oil Production in
millions of bpd
Data Generation in TB
120000
Data
Oil
20000
DATA TSUNAMI
0.5
0
0
2005
2010
2015
2020
TIME
Created by:Garry Kolafa
KOC = NOC
National Oil Company
• Not Always looking at Maximizing
Production
• Production Quotas and Material Balance
are more the norms
• Data Must be organized in a “National”
way
• Energy Assets and Other Assets may be
combined to form a National Database
Benchmarking Exploration
according to noted worldwide statistical information
• When my professor left college, (end of WWII):
20 Dry wells were drilled before 1 well produced
• When I left college (1970’s):
7 Dry wells were drilled before 1 well produced
• Today:
The average success rate has improved to
drilling
3-4 Dry Wells before 1 well produces
To 1.8 Dry Wells before 1 well produces
In deep water environments
Created by:Garry Kolafa
Why the increased success rate ?
• My Professor’s Days (20:1)
– Introduction of Field Geophysical Methods – improved structure
delineation
• My Graduation Days til today (7:1)
– Analog to Digital conversion in Instrumentation to allow data to be
processed and managed by computers in Geophysics
– Intro and practice of 3D Seismic within Geophysics
– Improved Structure Imaging & Data Management from Geophysics
• Today Land (3:4) Deep Marine (1.8)
– Combination of 3D Seismic and CSEM in Geophysics
– Horizontal Drilling, Geo-steering guided by Geophysics &
Visualization
– This is all made possible by Data Management that allows different
data types to be integrated and visualized.
Created by: Garry Kolafa
Urgency to Restructure
Production Character
Monthly Production/1K
Average Monthly/1K for last 12 m os
Average per w ell
80000
70000
50000
40000
30000
20000
10000
Ju
l-0
5
O
ct
-0
5
Ja
n06
A
pr
-0
6
Ju
l-0
6
O
ct
-0
6
pr
-0
4
Ju
l-0
4
O
ct
-0
4
Ja
n05
A
pr
-0
5
A
04
0
Ja
n-
Production
60000
Tim e
Created by:Garry Kolafa
Industry Trends to take into Account
• Exploration and Production Activities are converging
• An interdependence is developing for requiring
information and knowledge sharing for better model
constructions and decision-making. (IAM construction)
• Convergence is especially gaining momentum between
Exploration Interpretation and Reservoir Engineering
Departments
• Data Acquisition, Communication, as well as, Storage
and Archival Technologies have improved
• 4-Dimensional Asset Control Techniques
• Improved Visualization Technologies
• Real Time Reservoir Monitoring
• Integrated Asset Modeling for Production
Created by:Garry Kolafa
Expected Business Drivers
• More dependence on newer, more
sophisticated data generating systems.
• Better Imaging practices for structural and
reservoir modeling, simulation,
engineering, and management.
• Higher level of Integration Requirements
driven by E & P convergence.
• Additional Prospects
Created by:Garry Kolafa
Exploration Data and Activities needs
rejuvenation and the application of more
targeted Geophysics
• Re-examine the resolution and techniques used
in the past to see where data may be improved
by re-shooting and reprocessing to
accommodate for progress in newer
technologies.
• Apply Geophysics more to solve current
problems, especially some of our production
problems, Geophysics is not just confined to
Exploration.
Created by:Garry Kolafa
Convergence
Exploration
Production
Exploration
Visualization
1
Reservoir Engineering
Interpretation
Modeling
3
2
Re-Visualization
Re-Interpretation
Re-Modeling
6
Geosteering
Real-Time Reservoir
Monitoring
5
&
4
Time Lapse Seismic
Created by:Garry Kolafa
Created by Garry Kolafa
Growth & Quality
“A Critical Point”
• Many studies show that the highest risk to
any organization experiencing growth is to
maintain quality.
• Quality in operations is a direct function of
select and sufficient manpower.
• We will need to increase our manpower
selectively and sufficiently to increase our
overall quality, as well as, to cope with the
anticipated growth.
Created by Garry Kolafa
Re-structuring to reflect a Decision Centric Interface
Considerations:
•
•
•
•
•
•
SINGLE source for E & P data
Integration across applications, platforms.
Confidence in data ( quality , integrity , coherency )
Analytical tools
Calculation using industry standards
Industry standard naming convention across
Divisions and across Applications
• Concurrent usage
• Security
• Compliance with SCADA and other relevant
methodologies
Created by Garry Kolafa
Production Data Sources, Structure, Standards
2000 +
WELLS
WITSML
ProdML
28
Gathering Centers
CMM
RTDCs
Tank Farm
Created by:Garry Kolafa
After the Data Management Team went through an extensive Brainstorming
exercise and took many of the above and following points into consideration we
chose the following structure of four divisions to be able to evolve into an E&P
Information Management Team:
E & P Information Management
E & P IM Support
E & P IM Solutions
E&P IM Planning and
Reporting
E&P IM Assets
E&P IM Research
and Development
Project Planning
Team Planning
DM Training
Documentation
Reporting process
DM Team Promotion
Publications/Conferences
Management Reporting
External Clients
Field Dev., Expl., Drilling,
PDS & Planning Support
Database Administration
E&P Library / Archival
Field Data Integrity
Quality Optzn. System
Technical Field Support
Surv. Data Tracking
Process Improvement
Tools Development
Analytics Development
Market Savvy (know-how)
Data Engineering
Research
Data Mining
Artificial Intelligence
Visualization
IKW Transformation
E&P IM Integration
IT Collaboration
Web solutions
Security/DR/Database
Systems integration
(G&G/GISRM/DO)
Workflow & connectivity
Business processes
Real-time / Automation
Visualization Centre
Definitions of E&P DM Divisions
• E&P DM Management & Expert Contact Port
– Management handles Upper Management, Contractor, and Third
Party Contact
– The Expert Contact Port Administrator handles User Contact
• E&P DM Asset
– This Division focuses on providing “asset-driven” support in all
forms
• E&P DM Integration
– This Division focuses on handling cross data movement between
applications, databases, and company divisions to provide
“synergy” and to complete E & P convergence
• E&P DM Projects & Reporting
– This Division focuses on handling projects, planning, reporting,
training, and documentation, it supports the front-end Divisions
• E&P DM Research & Development
– This Division focuses on handling research and development
issues and provides direct support to the front-end Divisions to
maximize visualization and IKW transformation
The Team was confronted with the possibility of assimilating a component
of our IT group, so the proposed option was to regroup the original four
divisions into two, and add a third group which would allow the assimilation
to take place. Roles and Responsiblities are mapped in the following slides.
Exploration & Production
Information Management
ROLES
Exploration & Production
IM Support
The Support Team focuses on
providing “core businessdriven” support for Users and
their Systems, maintaining
existing or new solutions, and
visualization facilities, such as
our Visualization Centre.
The support team also
conducts the distribution of
data and information to relevant
users and/or groups as
decision support, which may be
found in our databases,
archives, and/or physical assets
(e.g. cores, tapes).
Exploration & Production
IM Services
Exploration & Production
IM Solutions
The Services Team focuses on
consolidating user and solution
requirements, as well as,
compliance and benchmarking
information for liaising with IT.
The Solutions Team focuses on
designing and providing
solutions that utilize resources
to provide the support and
service teams with their
requirements that ultimately
address core business users
and their processes, to either
improve existing processes or
provide new solutions where
IKW transformations are
optimal, visualization is
maximized, and exacting
analysis of data and
information is achieved.
They manage contractual
parameters, Policies,
Standards, Documentation,
Change management, and the
enforcement thereof.
Finally, they conduct service
quality control, project
monitoring, reporting and
publishing.
All solutions are designed to
conform to company strategies,
standards, and frameworks,
that allow exploration and
production to converge and
activities to synergize.
NEW option
E & P Information Management
E&P IM Services
E&P IM Support
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
Corporate & Asset Support
(Field Dev., Expl., Drilling,,
PDS, RM, WS, Planning, Fin.)
E&P Library/Physical Asset Archival
Field Data Integrity
Optimization & Decision support
Technical Field Support
Surv. Data Tracking
Process Definition
Production volumes allocation
E&P DBA support
E&P application & system support
IM Support Service Center
Cartography & GIS Support
Web & IM Toolkit Support
Vizcenter support
User awareness
External support (K-Companies)
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
Policies, Standards & Enforcement
Consolidate E&P computing
requirements

Infrastructure

Architecture

Systems

Technical software

Support & training
Contracts management

Technical software

On-site support

External storage

Core Analyses

Laboratory services
Quality Assurance

Service delivery quality

Compliance & benchmarking

Change Mgmt.
Desktop Technical services
E&P IM Online services
Project Documentation & Planning
Publications, Reporting & Promotion
Project co-ordination & monitoring
IM Growth Planning

Training & manpower

Conf. / Workshops / Careers
E&P IM Solutions
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
Provide E&P solutions
Market Savvy (know-how)
Data Engineering
Data Mining
Tools Development
Analytics Development
Visualization
Web solutions
Automation solutions
Real Time Solutions
Artificial Intelligence
G&G solutions
Security & DR planning
Process improvement
Systems integration
Business continuity planning
IKW Transformation
Industrial Processes
Downward Integration Process ≈ Automation Process
Software Developed
Relationship Developed
Software Perfected
Relationship Perfected
Software Introduced to Hardware
Relationship Introduced to System
X-chip programmable gate array
System Developed
FPGA X-chip solution perfected
System Perfected
1 – Chip Solution
Automated System
Created by:Garry Kolafa
Automation in Data Collection
• Long Term Benefits:
– Supply reliable data for the calibration and recalibration of production system models and
production optimization systems.
– Ability for highly skilled and senior Production
Operations management staff to access control room
information for;
• Maximum utilization of production network capacity &
treatment facilities
• Early identification of operational problems
• Downtime Reduction
• A data foundation for production optimization
• Potentially remote access to operations
– Ability to capture measurements from many additional
points in the production network without adding an
additional significant workload to the Production
Operations staff.
Created by:Garry Kolafa
Structured and Controlled Growth of Relationships
FD
DWP
EXPL
RM
Relationship
DWP
DWP
PDM
PDM
G&G
DWP
PDM
DM Core
PDM
PDM
PDM
?
DWP
PDM
PDM
DWP
DO
DWP
DWP
PO
WS
Created by:Garry Kolafa 27-Nov-06
Renaissance
Engineer & Geoscientists
• Today we need “renaissance” Engineers
and Geoscientists with IT knowledge.
• The BIG QUESTION:
• The medical analogy,
Would you prefer to be operated by an IT
tech who had retrained in surgery or by a
surgeon trained to operate sophisticated
equipment ?
Requirements
for Global File Systems
to support construction of IAMs
•
•
•
•
•
•
Scalable
Secure
Manageable
High Availability
High Performance
Broad Platform Coverage
Created by:Garry Kolafa
Data Management
• Data Management is a specialized core
business activity within an E&P organization that
is led by experts, who’s expertise extends into
most, if not, all corners of the organization.
• It has developed into it’s own engineering
science.
• Our DM team must be built by direct sourcing
and lot’s of on-the-job training & educating.
• Data Management is a cumbersome task in the
beginning, but finally, it becomes the heartbeat
of the company.
Created by:Garry Kolafa
• The vehicle for positive convergence
between Exploration and Production is Good
“Data Management”.
• Good “Data Management” enables us to
have the oversight required to correlate and
find the required “new” reservoirs with less
risk.
• Good “Data Management” is built on
harmonious cooperation with and between
Exploration and Production.
• This Leads to good Reservoir or Asset
Management, in other words, Good
control over the company
KOC
E&P
Information
Management
gives
you
Oversight
Thank You
Created by:Garry Kolafa
Supporting Slides
Our Mission Statement:
• Simply, to capture, store, and serve data and
help people make decisions.
• Comprehensively, to restructure, develop, and
expand data management, to provide more
efficient platforms to improve data access,
availability, and preservation, as well as, allow
multi-disciplinary teams to work seamlessly, to
achieve synergy within KOC. Additionally, to aid
in data transformation to produce information,
knowledge, and ultimately company wisdom for
added value.
Created by:Garry Kolafa 27-Nov-06
Integrated SAN/NAS Example
NAS
NAS
For Domain Data
Storage & Migration
For Domain Data
Storage & Migration
Network
10 GB/s
Ethernet
Backbone
NAS
NAS
For Domain Data
Storage & Migration
For Domain Data
Storage & Migration
SAN
For Corporate Data
Storage & Archival
Requirements
•
•
•
•
•
•
•
•
•
•
Excellent Current Assessment
Intensive planning on all fronts
Cooperation with all departments
Generation of Consensus
Ongoing Market Evaluation
Cost Control and Risk Analysis
Proper Justification Procedures
Management Approval
Acquiring Comprehensive Resources
Timely implementation
Created by:Garry Kolafa 27-Nov-06
Exploration Data Sources and Structure
Navigation &
Positioning
Wireline Logging
Geology
&
Geophysics
Visualization
Interpretation
Modeling
Created by:Garry Kolafa 27-Nov-06
Objectives
• To accommodate the planned increase in
Production with improved quality
• Have Production Converge with Exploration
• Real-Time Reservoir Monitoring by DM
• Enable Geosteering Capabilities by DM
• Optimize Sweep Efficiency by DM
• Implement Improved Data Acquisition,
Processing, and Final Information/Knowledge
Delivery and Archival Technology
• Quantify Services to be commercially viable and
alternatively understand how much particular
activities require subsidies
• Create opportunities for, and develop young
Kuwaitis in our activities
Created by:Garry Kolafa 27-Nov-06
Other Objectives
•
Data Acquisition
– Reshoot certain prospects with correct target
parameters
– Introduce Repeatability where required
– New tailored acquisition for Kuwaiti conditions
(cellular phone technology integrated with acquisition systems)
– Differentiate DM for Heavy Oil
– Define “Fracturing” objectives in carbonate
formations
– for both Heavy and Light Oil in terms of DM
– What to do with mines ? – Map and Inform (GIS)
– Alternatives to explosives for high frequency content
– Intelligent Rigs, Well sites, and surface facilities
Created by:Garry Kolafa 27-Nov-06
Other Objectives
• Integrate a plan to manage water geothermally
for Heavy Oil extraction
• R&T/DM Project: CSEM in shallow water
• Populate more Geophysicists into Production
activities
• Introduce the use of WITSML in DM
• Improve Archiving and Disaster Recovery
• Help position and pilot Drilling
• Reach relevant ISO standards with
acknowledgement
Created by:Garry Kolafa 27-Nov-06
Benefits of Automation realized by
Data Management at JO/Texaco
•
•
•
•
•
•
•
•
•
•
•
Daily data access vs. monthly data availability
2.5 hrs/day gain in Production Data entry
1 hour/day gain in Morning Report generation
6.5 days gain in Well Test Validation
2/3 days gain in Monthly Production Report
4/5 days gain in various monthly report generation
2 days gain in Shut-in Well Selection
1 day gain in Back Allocation run
x days gain in Horizontal Sidetrack Selection
x days gain in Water Shutoff Selection
x days gain in ‘Wells Drop in Production’
Benefits over a year in time !
•
•
•
•
•
•
•
•
•
•
•
Daily data access vs. monthly data availability
2.5 hrs/day gain in Production Data entry = 38 days
1 hour/day gain in Morning Report generation = 15 days
6.5 days gain in Well Test Validation = 67 days
2/3 days gain in Monthly Production Report = 30 days
4/5 days gain in various monthly report generation = 54
days
2 days gain in Shut-in Well Selection = 24 days
1 day gain in Back Allocation run = 12 days
x days gain in Horizontal Sidetrack Selection
x days gain in Water Shutoff Selection
x days gain in ‘Wells Drop in Production’
SAN versus NAS
• NAS – distributed, asynchronous 10Gb ethernet
sure to compete with both performance and
bandwidth compared to existing SAN solutions
(copper/fibre limited distance) even at only 40%
bandwidth utility.
• SAN – centralized , asynchronous and
synchronous capabilities, existing high end
performance solutions (fiber – extended
distance)
• Combinations of NAS and SAN possible
Created by:Garry Kolafa
General Data Flow
Data Source
Data Input
Data Transfer
Raw Data Generation
Data Integrity Check
Data Marked Ready for Use
Raw Data Storage
Data QC
Data tagged for
storage
(temporary,
permanent)
Data Validation
Help Data Quality Control
Design to provide and insure
Quality Assurance
Archival
Permanent
Storage
Archival
Permanent
Storage
Production
Intermediate
Storage
Data tagged for processing,
transformation, & reporting &
Visualization
BACK UP
DISASTER
RECOVERY
Internally generated data from
processing, transformation, and
reports tagged for storage
Data Migration to Storage
and Report locations
Dictate
Migration
Path & Policy
Data Output
Report Locations
Data always delivered with DM seal of QA
Visualization
Created by:Garry Kolafa
Simplified DM Asset Flow
Client Requirement Communicated
DM Responds by initiating DM’s automation process
A solution is driven into an automation
process by testing and perfecting it within a
simulated and real (the client’s) environment.
Client Approval
DM Process Maintenance
Created by:Garry Kolafa
DM Asset Work Flow in Detail
Asset Requirement
Solution Developed
Solution Checked
Solution Tuned
Solution Perfected
Solution Ready
Solution
Acknowledged
Solution Introduced to Process
Solution
Implemented
Process Modified
Process Developed
Process Checked
Process Tuned
Process Perfected
Process Ready
Process
Acknowledged
Automated Process
Process
Maintained
Created by:Garry Kolafa
Simplified DM Project & Reporting Work Flow
Customized Workflows for Custom Projects and Reporting
Requests
Client Request Communicated
DM responds by Planning, Scoping,
Commissioning, and De-Commissioning
Projects
DM responds by delivering reports
incorporating client requests and aiding in
design, documentation, visualization,
and IKW transformations by liaising with
E&P DM R&D where necessary
DM handles archiving and distribution of reports
Created by:Garry Kolafa
DM Project & Reporting Work Flow in Detail
Business or
Asset Requirement
Project Planning
Definition
Timelining & Budgeting
Management
Approval
DM Asset Results from
a Maintained Process
DM Integration Results from
An Automated System
Relevant Data Compiled
Data Processed
Processed
Data Visualized
Project
Commencement
IKW Transformation
Project
Commissioning
Documentation
Project
De-commissioning
QA and Distribution
End of Project
REPORT LOCATIONS
Created by:Garry Kolafa
Simplified DM Integration Flow
Client Requirement Communicated
DM Responds by initiating DM’s automation process
A relationship is driven into an automated
system via our automation process by testing
and perfecting it within a simulated and real
(the client’s) environment.
Client Approval
DM System Maintenance
Created by:Garry Kolafa
DM Integration Work Flow in Detail
Business
Requirement
Relationship Developed
Establish Protocol
Protocol Tuning
Relationship Perfected
Protocol Tuned
Protocol Testing
Relationship Introduced to System
Protocol Tested
Protocol Intro
To System
System Developed
System Tested
System Tuning
System Perfected
System
Commissioning
System
Implementation
Automated System
System
Maintenance
Created by:Garry Kolafa 27-Nov-06
Simplified DM Research & Development Work Flow
Customized Work Flows
for Custom Research and Development Requests
Client Requirements Communicated
DM responds by applying research or
developing “in-house”, where necessary
to best meet the Client’s requirements
taking all market possibilities into
consideration in the provision of tools
and technologies
DM delivers optimally refined processes,
systems, and tools to support both
“asset-driven” and integration focussed
Activities and Projects
Created by:Garry Kolafa
DM Research & Development Work Flow in Detail
Customized Work Flows for achieving results
in the following areas:
DM Research
Statistical Analysis
Data Mining
Artificial Intelligence
DM Development
Analytics & Tools
Prototype Development
Data Engineering
Neural Networks
Integrity Check Design
QC Modeling
Visualization
Market Saavy
Market Gap Recognition
Technical Planning
Management Support
Information
Knowledge
Wisdom
Transformation
Inconsistent
Information In
Simplification
Standardization
Synchronization
Consistent, Accurate
Information Out
Created by:Garry Kolafa
Road Map
Clean House
Close Data
Gaps
Plan for
Convergence
and Growth
I
Converge
E&P
RT =
Production
Side
Progress
VIZ =
Exploration
Side
Progress
E&P
Convergence
Completed
and
Maintained
ISO
Recognition
Reach level
III or IV
DM MM
Improve
Core System
Set
Core System
Expand
Core System
II
III
IV
Refine
Archival
Technology
Reach
Level
V
DM MM
V
PHASE
Created by:Garry Kolafa
How to develop a relationship ?
FINDER
Schlumberger Database
(Find Her)
&
KISR
Kuwait Institute of Scientific Research
(Kiss Her)
Created by:Garry Kolafa