PETROLEUM PRODUCTION ENGINEERING-I

Course Description

Fundamental principles of production engineering and fundamental elements of production systems. Drill stem testing, well completion methods, completion fluids and sand control. Perforating, well head equipment and flow control devices, production packers, oil and gas separators. Flowing well performance, sucker rod pumping, submersible electrical centrifugal pumping, well stimulation techniques; acidizing, hydraulic fracturing. 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.

PETROLEUM PRODUCTION ENGINEERING-I

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Production Optimization Using Nodal Analysis, Beggs, H.D., OGCI Publications Tulsa, 1991.
2. 02 Well Performance, Golan, M. and Whitson, C.H., Prentice Hall, New Jersey, 1991.
3. 03 Petroleum Production Systems, Economides, M.J, Hill, A.D and Eglih-Economides, C., Zhu, D., Prentice Hall, New Jersey, 2013.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

1. Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
2. Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
3. Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
4. Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
5. Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
6. Ability to design creative solutions to complex engineering problems.
7. Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
8. Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
9. Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
10. Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
11. Ability to design experiments for the investigation of complex engineering problems.
12. Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
13. Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable
14. Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
15. Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
16. Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
17. Ability to work effectively as an individual.
18. Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
19. Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
20. Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
21. Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
22. Knowledge of professional practices such as project management and economic feasibility analysis.
23. Awareness of entrepreneurship and innovation.
24. Ability for independent and lifelong learning.
25. Ability to adapt to new and emerging technologies.
26. Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix

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