Production and Facilities Engineering

Postgraduate | 2026

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Area/Catalogue
ENGP 5015
Course ID icon
Course ID
206808
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
5
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

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.

Course learning outcomes

  • 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
  • Analyse the critical issues of the design and optimisation of petroleum production systems validated against national and/or international standards.
  • Apply a critical-thinking, and problem-solving approach towards the main principles of production engineering demonstrated through the appropriate and relevant assessment
  • 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
  • Analyse and devise relevant solutions to problems posed within the course, individually and with teammates
  • 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.
  • Demonstrate the ability to interact with other students to practice teamwork and communication skills
  • Engage and participate in class and online discussions to help in communicating complex concepts to professional colleagues
  • Evaluate and provide feedback on your own learning experience committed to self-review and performance evaluation

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A