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PETROENG 7050 - Production and Facilities Engineering

North Terrace Campus - Semester 2 - 2024

The aim of this course is to provide familiarization of the principles and applications of various theories and techniques necessary to design, estimate and maximize production performance in a cost effective manner within various constraints from the oil and gas well systems. Attempts will be made to understand how these techniques could be applied in a practical field development project to identify the best way of exploiting petroleum reserves, as well as maximizing ultimate production. This course will address details of reservoir inflow performance, well flowing performance, design of artificial lift systems, familiarization of petroleum production facilities, and analysis and optimization of total petroleum production systems using conventional and nodal analysis. Students will also be given opportunity to apply these theories and methods through numerical problem based exercises and practical project assignments. The project assignment may require the use of a commercial simulator.

  • General Course Information
    Course Details
    Course Code PETROENG 7050
    Course Production and Facilities Engineering
    Coordinating Unit Mining and Petroleum Engineering
    Term Semester 2
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Units 3
    Contact Up to 5 hours per week
    Available for Study Abroad and Exchange Y
    Assessment Assignments, class test, group project
    Course Staff

    Course Coordinator: Mrs Maria Gonzalez Perdomo

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course, students will be able to:

    1 Use the main terminology, concepts, and techniques that apply to production engineering founded on a theory-based understanding of mathematics and the natural and physical sciences
    2 Analyse the critical issues of the design and optimisation of petroleum production systems validated against national and/or international standards.
    3 Apply a critical-thinking, and problem-solving approach towards the main principles of production engineering demonstrated through the 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 teammates
    6 Complete, analyse and optimise an artificial lift design exercise using commercial software commonly used in the industry to develop competency in the use of technology.
    7 Demonstrate the ability to 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 develops the following EA Elements of Competency to levels of introductory (A), intermediate (B), advanced (C):  
     
    1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.6
    C B C B C B C C B B C C B B C C
    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)

    Attribute 1: Deep discipline knowledge and intellectual breadth

    Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.

    1-6

    Attribute 2: Creative and critical thinking, and problem solving

    Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.

    2-6

    Attribute 3: Teamwork and communication skills

    Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.

    3-8

    Attribute 4: Professionalism and leadership readiness

    Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.

    1-9

    Attribute 5: Intercultural and ethical competency

    Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.

    7-9

    Attribute 6: Australian Aboriginal and Torres Strait Islander cultural competency

    Graduates have an understanding of, and respect for, Australian Aboriginal and Torres Strait Islander values, culture and knowledge.

    5, 7, 8

    Attribute 7: Digital capabilities

    Graduates are well prepared for living, learning and working in a digital society.

    6

    Attribute 8: Self-awareness and emotional intelligence

    Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.

    7-9
  • Learning Resources
    Required Resources
    Please bring supplied lecture notes, pen and pencil, eraser and ruler, workbook and laptop to lectures classes.
    Recommended Resources
    The following are useful references:
    • Production Optimization using Nodal Analysis by H. Dale Beggs, OGCI and Petro-skills Publications, Tulsa, Oklahoma, 2003
    • Petroleum Production Systems, By Michael J. Economides, et al, Prentice Petroleum Engineering Series, 1994
    • Petroleum Production Engineering – A Computer Assisted Approach, by Boyun Guo, et al, Elsevier Science and Technology Books, February 2007
    • Surface Production Operations, by Arnold, K., and Stewart, M. (2nd Ed., Vol 1 and Vol 2), Gulf Publishing Company, 1999
    • Lecture notes
    Online Learning
    The course will be available through MyUni.

    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 Modes
    Lectures are supported by solved examples, problem-solving tutorials, 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 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, equating 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 approximately twice the number of hours outside class-revising notes, reading more widely about the topics covered, practising 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:

    1. Review and introduction to Petroleum Production Systems: (week 1)
    Introduction to:

    - The Reservoir, Well, and Wellhead
    - Surface gathering systems (Flow-line, Separators, Pumps, Compressors etc)
    - Role of production system analysis and optimization of petroleum life cycles
    - Introduction to different approaches practiced for production analysis

    2. Production from Undersaturated Oil Reservoir: (week 1-2)

    - Reservoir Deliverability
    - Transient flow of undersaturated oil
    - Steady-state well performance
    - Pseudo steady-state flow
    - Wells draining from irregular patterns
    - Inflow performance relationship (IPR)
    - Horizontal well production
    - Formation damage and skin effects
    - Impact of skin effect on horizontal well performance

    3. Production from Two-Phase Reservoirs: (week 3-4)

    - Two-phase flow in a reservoir
    - IPR for a two-phase reservoir
    - Vogel inflow performance
    - Fetkovich’s inflow performance

    4. Production from Natural Gas Reservoir: (week 4-5)

    - Approximations of gas well deliverability – IPR
    - Gas well deliverability for non-Darcy flow
    - Transient flow of a gas well
    - Horizontal well IPR in a gas reservoir

    5. Wellbore Flow Performance: (week 6-7)

    - Pressure gradient in wellbore
    - Single-phase flow of an incompressible fluid
    - Single-phase flow of a compressible fluid
    - Multiphase flow in well

    6. Well Deliverability: (week 7-8)

    - Vertical lift performance (VLP)
    - Combination of IPR and VLP
    - IPR and VLP of two-phase reservoirs
    - IPR and VLP in gas reservoirs

    7. Flow Through Surface Pipeline/Chokes (week 8-9)

    - Flow through horizontal pipeline –production/injection wells
    - Flow through chokes

    8. Artificial Lift Methods _ Gas Lift: (week 9-10)

    - Natural versus artificial flowing gradient
    - Injection of gas and power requirements for compressor
    - Impact of increase of gas injection rate
    - Maximum production rate with gas lift
    - Gas-lift performance curves

    9. Pump-Assisted Lift: (week 10-11)

    - Positive displacement pumps
    - Dynamic displacement pumps
    - Progressive Cavity Pump (PCP)

    10. Total Production System Analysis: (week 11-12)

    - System modelling, analysis and evaluation of tubing sizes
    - Flow line size effects
    - Effects of flow restrictions through different completion hardware such as: Chokes, SSV
    - Effects of depletion
    - Optimizing well productivity
    Specific Course Requirements
    This course requires the use of Integrated Production Modelling (IPM) software for design and performance prediction of complex petroleum production systems. The software will be demonstrated with tutorial problems. Students are required to complete the group project using this software, available to the department under a licensing agreement.
  • 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
    Assessment Task Weighting (%) Individual / Group Formative / Summative Due (week) Hurdle Criteria Learning Outcomes
     Exams 70 Individual Summative 3-12 N 1,2,3,4,5
    Assignment 1 10 Group Summative 7 N 2. 3. 4. 5. 6. 7. 8. 9.
    Assignment 2. Project – case study 15 Group Summative 9 N 2. 3. 4. 5. 6. 7. 8. 9.
    Homework & Tutorials 5 Individual / Group Formative / Summative 2-12 N 1. 2. 3. 4. 5. 7. 8. 9.
    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.
    Assessment Related Requirements
    Alternative test dates for students who cannot be present on the date of the test on medical and compassionate grounds can be requested through the Course Coordinator.
    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 test.

    Further details on assignments will be given during the first day of class or through MyUni at least two weeks in advance of the submission date.
    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 field class exercises should be submitted ONLINE 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
    Exercises will be returned to students within four weeks of their submission.
    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 .

  • 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 student鈥檚 disciplinary procedures.

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