PETROENG 7035 - Reservoir Simulation
North Terrace Campus - Semester 2 - 2020
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 Tempest 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.
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General Course Information
Course Details
Course Code PETROENG 7035 Course Reservoir Simulation Coordinating Unit Australian School of Petroleum & Energy Resources Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Intensive short course of lectures, seminars Available for Study Abroad and Exchange Y Assumed Knowledge Basic linear algebra, basic calculus, differential equations, Taylor series expansions, fundamentals of flow in porous media Assessment Assignments, final exam Course Staff
Course Coordinator: Dr Mohammad Sayyafzadeh
Course Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
On successful completion of this course students will be able to:
1 Explain the mathematical and computational concepts behind commercial reservoir simulators 2 Explain the physical laws that govern fluid flow in porous media 3 Formulate single-phase and multi-phase flow in petroleum reservoirs 4 Solve the governing partial differential equations using finite difference methods and interpret the potential numerical errors 5 Treat internal and external boundary conditions and initial conditions 6 Explain iterative matrix solvers and Understand the fully implicit and IMPES solution strategies for solving flow equations 7 Write a program for simple problems 8 Use a commercial reservoir simulator for studying the reservoir performance in response to different development strategies 9 Develop some experience with history matching a reservoir simulation model 10 Demonstrate the ability to work cooperatively in groups for the assignments
The above course learning outcomes are aligned with the Engineers Australia .
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 1.4 1.5 1.6 2.1 2.2 2.3 2.4 3.1 3.2 3.3 3.4 3.5 3.6
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1-9 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
3, 4, 8, 10 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
8, 10 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1, 2, 4, 7-9 Intercultural and ethical competency
- adept at operating in other cultures
- comfortable with different nationalities and social contexts
- able to determine and contribute to desirable social outcomes
- demonstrated by study abroad or with an understanding of indigenous knowledges
10 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
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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.
Peaceman, D.W., "Fundamentals of Numerical Reservoir Simulation", Elsevier Scientific Publishing Co., 1977.
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 MATLAB and ECLIPSE, and also lectures are supported by several exercises and examples.Workload
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:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
* The specific due date for each assessment task will be available on MyUni.Assessment Task Weighting (%) Individual / Group Formative / Summative Due (week)* Hurdle criteria Learning outcomes Assignment#1 40 Individual Summative ~Week 10 N 1. 2. 3. 4. 5. 6. 7. Assignment#2 30 Group Summative ~Week 12 N 5. 8. 9. 10. Assignment#3 15 Individual Summative ~Week 13 N 2. 5. 8. 10. In-class activities & Quizzes 15 Individual Summative ~Week 9 N 1. 2. 3. 4. 5. Total 100
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.Assessment Detail
Submission
Submission of Work for Assessment
Assignments 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 for Assessment Tasks
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
Assignments will be returned to students within three-four weeks of their submission.
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