## PETROENG 7035 - Reservoir Simulation

### North Terrace Campus - Semester 2 - 2015

The course gives the theoretical basis and practical fundamentals for numerical and analytical simulation of fluid flow in petroleum reservoirs. The partial differential equations governing modelling of single-phase and multi-phase fluid flow in porous media are derived. The governing equations are used for development of several analytical models which serve for reservoir evaluation and analysis. The numerical methods for solving the basic governing equations using finite difference methods are presented. Input data requirements and applications of simulation models for history matching and prediction of field performance will be discussed. Practical applications will be made using the Eclipse reservoir simulator. Two main features of reservoir simulation for practical reservoir engineering: - Clear understanding of mathematical models, basic equations, formulations of initial- boundary conditions, numerical methods. - Using reservoir simulators for different type applications and flow processes.

• General Course Information
##### Course Details
Course Code PETROENG 7035 Reservoir Simulation Australian School of Petroleum & Energy Resources Semester 2 Postgraduate Coursework North Terrace Campus 3 Intensive short course of lectures, seminars Y Basic linear algebra, basic calculus, differential equations, Taylor series expansions, fundamentals of flow in porous media assignments, final exam
##### Course Staff
Prof. Rosalind Archer
##### Course Timetable

The full timetable of all activities for this course can be accessed from Course Planner.

• Learning Outcomes
##### Course Learning Outcomes
 1 Derive mass conservation equations for single phase and multiphase flows in porous media. 2 Understand how derivatives can be approximate by finite differences, and what errors are involved. 3 Understand the fully implicit and IMPES solution strategies for solving flow equations. 4 Know what techniques can be used to upscale geological models for simulation purposes. 5 Know what streamline simulation techniques are, and when they are most valuable. 6 Have a basic understanding of iterative matrix solvers and why they are used. 7 Develop some experience with history matching a reservoir simulation model. 8 Have an awareness of the additional computational requirements for special models (e.g. fractured reservoirs, compositional models).

This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

University Graduate Attribute Course Learning Outcome(s)
Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1,2,3,5,6,7,8
The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 7
An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 5,7,8
A proficiency in the appropriate use of contemporary technologies. 3,5,7
A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. 1,4,5,6,7,8
A commitment to the highest standards of professional endeavour and the ability to take a leadership role in the community. 3,7,8
An awareness of ethical, social and cultural issues within a global context and their importance in the exercise of professional skills and responsibilities. 7
• Learning Resources
##### Required Resources
Course lectures notes will be supplied.
##### Recommended Resources

Ertekin, T., Abou-Kassem, J.H. and King, G.R. “Basic Applied Reservoir Simulation”, SPE Textbook Series, 2001

Aziz, A & Settari, A., "Petroleum Reservoir Simulation", Applied Science Publishers Ltd., London, 1979.

Thomas, G.W., "Principles of Hydrocarbon Reservoir Simulation", International Human Resources Development Corporation, 1982.

Peaceman, D.W., "Fundamentals of Numerical Reservoir Simulation", Elsevier Scientific Publishing Co., 1977.

Crichlow, Henry B., "Modern Reservoir Engineering: A Simulation Approach", Prentice-Hall Inc., New Jersey, 1977.

SPE on-line library

##### Online Learning
Any additional materials, not provided in the class notes, will be provided via MyUni and you will receive an email accordingly.
• Learning & Teaching Activities
##### Learning & Teaching Modes
Lectures combined with interactive sessions which solve problems using Excel or Tempest.

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

A 3-unit course requires 156 hours and possibly some additional private study time.

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

6 days of lectures/labs (9am to 5pm) plus time to complete 4 assignments.
##### Learning Activities Summary
Learning activities will follow the sequence as presented in the course notes.
##### Specific Course Requirements
As this course is offered in a short course format, your complete attendance and punctuality are important for you to gain the best learning outcome.
• Assessment

The University's policy on Assessment for Coursework Programs is based on the following four principles:

1. Assessment must encourage and reinforce learning.
2. Assessment must enable robust and fair judgements about student performance.
3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
4. Assessment must maintain academic standards.

##### Assessment Summary
Formative: Final Examination, 4 Assignments
##### Assessment Detail
Four assignments, total: 40%
Final Examination given during the Examination period: 60%
##### Submission
Submission of Work for Assessment
Practical and field class exercises should be submitted in hardcopy with a completed copy of the assessment coversheet that is available from the school office. This should be signed to indicate you have read the above university policy statement on plagiarism, collusion and related forms of cheating.

Extensions of deadlines for assessment tasks may be allowed for reasonable causes. Such situations would include compassionate and medical grounds of the severity that would justify the awarding of a supplementary examination. Evidence for the grounds must be provided when an extension is requested. Students are required to apply for an extension to the Course Co-ordinator before the assessment task is due. Extensions will not be provided on the grounds of poor prioritising of time.

Penalty for Late Submission of Assessment Tasks
Assessment tasks must be submitted by the stated deadlines. There will be a penalty for late submission of assessment tasks. The submitted work will be marked ‘without prejudice’ and 10% of the obtained mark will be deducted for each working day (or part of a day) that an assessment task is late, up to a maximum penalty of 50% of the mark attained. An examiner may elect not to accept any assessment task that a student wants to submit after that task has been marked and feedback provided to the rest of the class.

Provision of Feedback to Students
Exercises will be returned to students within two weeks of their submission.

Grades for your performance in this course will be awarded in accordance with the following scheme:

M10 (Coursework Mark Scheme)
FNS   Fail No Submission
F 1-49 Fail
P 50-64 Pass
C 65-74 Credit
D 75-84 Distinction
HD 85-100 High Distinction
CN   Continuing
NFE   No Formal Examination
RP   Result Pending

Further details of the grades/results can be obtained from Examinations.

Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

Final results for this course will be made available through Access Adelaide.

• Student Feedback

The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

• Student Support
• Policies & Guidelines
• Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's studentâ€™s disciplinary procedures.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

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