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PETROENG 7059 - Reservoir Engineering VII

North Terrace Campus - Semester 1 - 2017

Introduction and overview to reservoir engineering, including aspects of multidisciplinary team work, is followed by explaining the nature of reservoirs and hydrocarbons. Reservoir specific formation properties, among these pressure and temperature, are covered, followed by conventional and special (SCAL) properties, including averaging of these and leading up to preparation of input to reservoir simulation. Fluid properties (oil, gas and water), their determination and correlation, are covered in detail, including laboratory aspects. The description and characterisation of rock/formation properties and fluids is followed by the mechanisms that describe fluid flow and mass balance in the reservoir, commencing with Darcy's law and well performance. After overviewing drive mechanisms and the range of applicable recovery factors, the general material balance (Havlena-Odeh) and aquifer response are covered in detail, as well as various fluid displacement calculations, including coning and cusping. Finally, a number of case histories are presented to show application of reservoir engineering to specific field development situations.

  • General Course Information
    Course Details
    Course Code PETROENG 7059
    Course Reservoir Engineering VII
    Coordinating Unit Australian School of Petroleum & Energy Resources
    Term Semester 1
    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 Relevant industry experience or courses equivalent to MATHS 1012, PHYSICS 1100, PETROENG 7063, PETROENG 2001, PETROENG 2005, PETROENG 2009, MECH ENG 2021, PETROENG 3025, COMP SCI 1201
    Assessment Quiz, assignment and final exam
    Course Staff

    Course Coordinator: Dr Alireza Salmachi

    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 To recall and describe,the main terminology, concepts and techniques that applies to reservoir engineering.
    2 Analyse and evaluate approaches and strategies for the assessment and quantification of reservoir  uncertainty and data management.
    3 Apply a critical-thinking and problem-solving approach towards the main principles of reservoir engineering.
    4 Apply theoretical and practice skills in data analysis used for real reservoirs through case studies.
    5 Recommend reservoir production and development plan
    6 Describe characterisation of rock/formation properties and fluids
    7 Describe fluid flow and mass balance in the reservoir
    8 Analyse, and devise relevant solutions to reservoir engineering problems posed within the course individually and with team mates.
    9 Employ, analyse and optimise a material balance / decline curve / water influx exercise by using a commercial software that is commonly used in the industry.
    10 Interact with other students to practice working in a petroluem engineering team and communication skills.

     
    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   1.5   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)
    1-10
    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
    2-5,8,10
    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
    3,5,8,9,10
    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
    8,10
    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
    8,10
  • Learning & Teaching Activities
    Learning & Teaching Modes
    Lectures are supported by solved examples, problem-solving tutorials, homework and real case studies.

    Students will have the opportunity to use a commercial software package.
    Workload

    No information currently available.

    Learning Activities Summary
    Session 1 & 2           · Introduction
                                     . Reservoir Rock properties and Darcy's law
                                     · Reservoir Fluid Properties   
    Session 3                  · Drive Mechanisms
                                     · Reservoir maps and Volumetrics
                                     · Fluid pressure regims
    Session 4, 5 & 6        · Material balance
    Session 7                  · Decline curve analysis
    Session 8 & 9            · Fluid flow in reservoirs
                                     · Superposition and skin
                                     · IPR
    Session 10, 11 & 12   · Pc
                                     · Kr
                                     · Wettability
                                     · Immiscible displacement
  • 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
    Mid-Course Exam 20 Individual Summative Day 3-5 1. 2. 6. 7. 9.
    Assignments Numerical problems on selected topics 15 Individual Summative Day 3-5 1. 3. 6. 8. 9. 10.
    Homework & Tutorials 5 Individual Summative Day 2-6 1. 3. 4. 5. 6. 7. 8. 9. 10.
    Final exam 60 Individual Summative 1. 2. 3. 5. 6. 7. 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 Detail

    No information currently available.

    Submission

    No information currently available.

    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
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