PETROENG 3025 - Reservoir Engineering
North Terrace Campus - Semester 1 - 2018
General Course Information
Course Code PETROENG 3025 Course Reservoir Engineering Coordinating Unit Australian School of Petroleum Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact up to 5 hours per week Available for Study Abroad and Exchange Y Prerequisites PETROENG 1006, MATHS 2201 Assumed Knowledge PETROENG 2001, PETROENG 2009, PHYSICS 1100, Course Description Darcy's Law and Applications, Concepts of permeability, Relative permeability, Capillary pressure, Wettability, Material Balance Equations for Different Types of Reservoirs and Drives, Aquifer Behaviour and Water Influx, Immiscible Displacement, Buckley-Leverett theory, Gravity-Stable Displacement, Coning and Cusping, Decline Curve Analysis, Reservoir and wellbore deliverability.
Course Coordinator: Mrs Maria Gonzalez Perdomo
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
1 To know and recognize the main terminology, concepts, and techniques that applies to reservoir engineering founded on a theory based understanding of mathematics and the natural and physical sciences 2 Suggest approaches and strategies for the assessment and quantification of reservoir uncertainty and data management validated against national or international standards 3 Apply a critical-thinking and problem-solving approach towards the main principles of reservoir engineering demonstrated through appropriate and relevant assessment 4 Apply theoretical and practice skills in data analysis used for real problems through case studies based on empirical evidence and the scientific approach to knowledge development 5 Analyse, and devise relevant solutions to problems posed within the course, individually and with team mates 6 Undertake, analyse, and optimise a material balance / decline curve / water influx exercise, by using a commercial software that is commonly used in the industry to develop competency in the use of technology 7 Interact with other students to practice teamwork and communication skills 8 Engage and participate in class and online discussions to help in communicating complex concepts to professional colleagues 9 Evaluate and provide feedback on your own learning experience committed to self-review and performance evaluation
The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
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)
1-5 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
2-5 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
3,5,6,7,8 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1-9 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
7-9 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
Required ResourcesNot applicable
Recommended ResourcesNo specific textbook is recommended. However, a list of suggested references follows. Materials drawn from various texts and technical papers will be presented.
Most materials will be provided through “MyUni” and handouts during the lecture.
Suggested References & Resources
1. Fundamentals of Reservoir Engineering by Dake
2. Fundamental principles of Reservoir Engineering by Towler
3. Applied Petroleum Reservoir Engineering by Craft, Hawkins And Terry
4. The Practice Of Reservoir Engineering by Dake
5. Gas Reservoir Engineering by Lee And Wattenbarger
6. Petroleum Reservoir Engineering by Amyx, Bass And Whiting
7. Reservoir Engineering Handbook by Tarek Ahmed
8. Development Of Petroleum Reservoirs by Papay (Also Provides Russian Contributions)
9. Well Testing by Lee
10. Advances In Well Testing by Earlougher, Jr.
11. Reservoir Engineering Aspects of Waterflooding by Craig
12. Enhanced Oil Recovery by Lake
13. Enhanced Oil Recovery by Green and Willhite
14. Miscible Flooding by Stalkup, Jr.
Plus Journals from professional societies (e.g., SPE)
Online LearningThe course will be available through MyUni site.
It will provide valuable resources and course information, such as announcements, lecture material, assignments, discussion boards, etc. The material will be released over the semester, and the course will be made available from the start of the semester.
Students are expected to check their Uni emails and check the announcements frequently on MyUni.
Learning & Teaching Activities
Learning & Teaching ModesLectures are supported by solved examples, problem-solving tutorials, homework, and real case studies.
Online learning is also available through MyUni.
Students will have the opportunity to use a commercial software package.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.The standard undergraduate workload for a full-time student is 48 hours per week which equates to approximately 12 hours per 3 unit course. The workload associated to this course involves 5 hrs of lectures and tutorials per week. You would be expected to spend an approximately twice the number of hours outside class-revising notes, reading more widely about the topics covered, practicing examples, finishing exercises, homework etc. The University Learning and Teaching Committee has recently agreed that 3 unit courses are required to have a minimum workload of 150 hours regardless of the length of the course.
Learning Activities SummaryTentative topics in Sequence:
Schedule Week 1 Introduction What is Reservoir Engineering, Role of Reservoir Engineer, Multidisciplinary Aspects, Key definitions related to Reserves and other terminologies, Types of Reservoirs and Reservoir Processes. Week 2 Size of the PRIZE: How much oil is there and does it have the energy to produce it by itself? Hydrocarbon Volumes and Fluid Pressure Regimes. Week 3 Hydrocarbon Definitions and Classification. Week 4 Will it flow through the reservoir formation (rock)? Demonstrate the relevance of Rock & Fluid Properties, PVT and phase behaviour, Role of laboratory studies. Week 5 Reservoir Heterogeneities. Week 6 Why do fluids flow in the reservoir? What are the factors helping fluid flow in the reservoir? Darcy's Law and Applications, Permeability, Relative permeability
Capillary pressure, Wettability and fluid flow through the porous medium. Oil and gas well performance and how is linked to Reservoir Engineering.
Week 7 When the reservoir needs help to produce the oil, who does it call? Introduction to Enhanced/Improved Oil & Gas Recovery Processes -- Immiscible Displacement, Buckley- Leverett theory, Welge’s method, Gravity-Stable Displacement. Week 8 Coning and Cusping. Week 9 How to estimate what’s produced, what’s remaining and how much we can produce? Material Balance Equations for Different Types of Reservoirs and Drives. Week 10 Aquifer Behaviour and Water Influx (Van Everdingen-Hurst and Fetkovich methods). Week 11 Decline Curve Analysis [What, why and how].
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 Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes Mid – Course Exam 15 Individual Summative Weeks 5-7 1. 2. 3. 4. 5. Assignment 1. Critical review report 10 Group Summative Weeks 5-7 3. 7. 8. 9. Assignments 2 & 4. Numerical problems on selected topics 10 Group Summative Weeks 8-12 2. 3. 4. 5. 7. 8. 9. Assgnment 3. Project – case study 5 Group Summative Weeks 9-10 2. 3. 4. 5. 6. 7. 8. 9. Homework & Tutorials 5 Individual / Group Summative / formative Weeks 2-12 1. 2. 3. 4. 5. 7. 8. 9. Final Exam 55 Individual Summative Min 40% 1. 2. 3. 5. Total 100
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.
Assignment 1/ Critical review report
Apply a critical-thinking and problem-solving approach towards the main principles of reservoir engineering Interact with other students to practice teamwork and communication skills
Assignment 3 Project – case study
Suggest approaches and strategies for the assessment and quantification of reservoir uncertainty and data management
Apply theoretical and practical skills in data analysis used for real problems through case studies
Undertake, analyse, and optimise a material balance / decline curve / water influx exercise, by using a commercial software that is commonly used in the industry Interact with other students to practice teamwork and communication skills
Assignments 2 & 4 Numerical problems on selected topics
Analyse, and devise relevant solutions to problems posed within the course, individually and with team mates
Apply theoretical and practical skills in data analysis used for real problems through case studies
Homework & Tutorials
Engage and participate in class and online discussions
Analyse, and devise relevant solutions to problems posed within the course, individually and with team mates Interact with other students to practice teamwork and communication skills
Assessment Related RequirementsYou will be advised of the date and time of the submission during the first day of class or through MyUni at least four weeks in advance.
Alternative dates for students who cannot be present on the date of the mid- course exam on medical and compassionate grounds can be requested through the Course Coordinator before the exam is due, unless there is an emergency. Evidence must be provided.
For examination purposes: only basic scientific calculators are permitted. (Without remote communication capability, non-programmable, non-alphanumeric)
Assessment DetailAll exams are closed-book. Further details on examinations will be given through MyUni at least two weeks in advance of the date of the exam.
Further details on assignments will be given during the first day of class or through MyUni at least four weeks in advance of the submission date.
Homework will be evaluated on an individual basis, and tutorials will be team based.
SubmissionYou will be advised of the date, time and location for physical submission of all assignments during the first day of class or through MyUni
Submission of Work for Assessment
Practical and 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 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. The Course Co-ordinator or lecturer / 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.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description 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.
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.Provision of Feedback to Students
Feedback will be provided to students within two weeks of tests and assignments submission.
It is important that all students maintain active communication channels throughout the year. The primary communication channels to students in this course are as follows.
MyUni: Students should regularly check the MyUni website (http://myuni.adelaide.edu.au/).
Email: Each student should regularly check his or her University-provided email account (firstname.lastname@example.org) for information from members of the academic staff concerning course work matters and other announcements as they arise. Make sure you clean up your Inbox regularly as if it is full you will not receive our email! We will regard an email message being sent to your student email address or an announcement posted on the MyUni site as our having communicated with each member of the class. Not reading one’s University provided email or MyUni announcements will not be a valid excuse for missing important deadlines etc.
- Academic Support with Maths
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- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
- LinkedIn Learning
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Elder Conservatorium of Music Noise Management Plan
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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