PETROENG 3025 - Reservoir Engineering

Course Details

Course Code	PETROENG 3025
Course	Reservoir Engineering
Coordinating Unit	Australian School of Petroleum & Energy Resources
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,
Assessment	Exam, assignments, homework, evaluated practical

Course Staff

Course Coordinator: Mrs Maria Gonzalez Perdomo

Course Timetable

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

Course Learning Outcomes

On 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 .
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	7-9

Required Resources

Not applicable

Recommended Resources

No 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 Learning

The 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 Modes

Lectures 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.

Workload

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 Summary

Tentative 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 Summary

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

* The specific due date for each assessment task will be available on MyUni.

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.

Summative

Assignment 1/ Critical review report

10 %

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

Summative

Assignment 3 Project – case study

5 %

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

Sum-Form

Assignments 2 & 4 Numerical problems on selected topics

10 %

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

Sum-Form

Homework & Tutorials

5 %

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

Summative Final exam 55 %Hurdle: Student needs to get a minimum of 40/100 in the final exam to pass the course.

Assessment Related Requirements

You 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 Detail

All 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.

Submission

You 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.

Course Grading

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 .

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.

Communication
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@student.adelaide.edu.au) 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.

This section contains links to relevant assessment-related policies and guidelines - all university policies.

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 student鈥檚 disciplinary procedures.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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