COURSE SYLLABUS
PETE 611 – Application of Petroleum Reservoir Simulation
Texas A&M University - Summer 2013
Instructor:
Office:
Phone:
Email:
Lecture:
Dr. Bryan Maggard
501-U RICH
(979) 845-0592
maggard@pe.tamu.edu
TR, 8:00-9:50 p.m., 319 RICH; and Web Based Distance Learning
COURSE DESCRIPTION
Use of simulators to solve reservoir engineering problems too complex for classical analytical
techniques.
Course Outcomes: At the end of this course, students will be able to:
1. Explain reservoir simulation fundamentals - the underlying equations and the numerical
techniques used to solve them.
2. Design a reservoir simulation model, construct the data set, execute the simulator, and view
simulation results visually using post-processing software.
3. Plan and conduct the calibration of a reservoir simulation model.
4. Predict and optimize future performance of petroleum reservoirs using reservoir simulation.
5. Apply reservoir simulation technology to solve production and reservoir engineering problems
in individual wells or patterns.
6. Apply reservoir simulation technology to solve production and reservoir engineering problems
in entire fields or reservoirs.
7. Apply equation-of-state regression technology to construct a fluid model by matching
laboratory PVT test data.
8. Apply compositional reservoir simulation to solve production and reservoir engineering
problems.
9. Effectively present the results of an engineering study in a written report.
TEXTS
PETE 611 Web Site – Lecture Notes and Supplemental Papers from Literature
Optional Texts:

Mattax and Dalton: Reservoir Simulation, SPE Monograph 13, 1990.

Ertekin, Abou-Kassem and King: Basic Applied Reservoir Simulation, SPE Textbook 7, 2001.
COURSE POLICIES
1. Work Quality:
Neat, legible, systematic and complete presentation is required in assignments.
Units (for example, Newton-meters) must be documented wherever appropriate, including table
column titles and chart axes.
2. Grading System: The course will be graded as follows:
Projects (Approx. 5-6)
Homework (Approx. 5-6)
75 %
25 %
No “extra credit” opportunities will be available after course grades are assessed.
3. Academic Integrity: There is no tolerance for cheating in any form.
Review http://student-rules.tamu.edu; Part 1, Section 20.
Aggie Code of Honor: “An Aggie does not lie, cheat, or steal or tolerate those who do.”
Upon accepting admission to Texas A&M University, a student immediately assumes a commitment
to uphold the Honor Code, to accept responsibility for learning and to follow the philosophy and rules
of the Honor System. Students will be required to state their commitment on examinations, research
papers, and other academic work. Ignorance of the rules does not exclude any member of the Texas
A&M University community from the requirements or the processes of the Honor System. For
additional information please visit: www.tamu.edu/aggiehonor/.
On each project report or homework cover page there shall be printed and signed by the student(s):
“On my(our) honor, as an Aggie(s), I(we) have neither given nor received unauthorized
aid on this academic work.”
Collaboration on assignments is forbidden except when explicitly instructed. If you are not sure
whether collaboration is allowed on a particular assignment, confer with the course instructor.
5. Accomodation for Disabilities:
The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides
comprehensive civil rights protection for persons with disabilities. Among other things, this legislation
requires that all students with disabilities be guaranteed a learning environment that provides for
reasonable accommodation of their disabilities. If you believe you have a disability requiring an
accommodation, please contact Disability Services, in Cain Hall, Room B118, or call 845-1637. For
additional information visit http://disability.tamu.edu
6. Accomodation for Religious Observance:
Texas HB256: “An institution of higher education shall excuse a student from attending classes or
other required activities, including examinations, for the observance of a religious holy day, including
travel for that purpose. A student whose absence is excused under this subsection may not be
penalized for that absence and shall be allowed to take an examination or complete an assignment
from which the student is excused.”
A sincere effort will be made to accommodate students’ needs for religious observance. Students are
instructed to contact the instructor during the first week of class in order to make arrangements.
7. Class Topics:
Week – First Class of Week
1 – June 4
2 – June 11
3 – June 18
4 – June 25
5 – July 2
6 – July 9
7 – July 16
8 – July 23
9 – July 30
10 – August 6
11 – August 12
Topic
Course Introduction; Intro. to Conventional Simulation
Intro. to Conv. Sim; Type Curve Matching
History Matching
Scale-Up
Pseudo-Functions
Modeling Well Performance / Coning
EOS Compositional Fluid Models
Compositional Simulation
Introduction to Streamline Simulation
Workshop – Project
Last Project Due