PETROLEUM RESERVIOR ENGINEERING-II

Course Description

Petroleum reservoir engineering is a complex issue and this course is designed to enter into every single detail to understand the topic thoroughly. The best method to get acquainted to the reservoir system is to create a model and work on it. In other words, geophysical, geological, petrophysical and engineering data with geostatistical methods will be utilized to create reservoir descriptions for dynamic reservoir modeling (simulation). Within the scope of the course, the following topics will also be discussed in detail: geostatistical concepts such as variogram modeling, Kriging and sequential Gaussian simulation; combination of several techniques to quantify uncertainty in a realistic dynamic reservoir simulation. Steady and unsteady state single phase flow equations through porous materials, steady and unsteady superposition will also be discussed, together with multiphase flow through porous materials. Finally, methods of reservoir characterization in homogeneous and heterogeneous reservoirs.

PETROLEUM RESERVIOR ENGINEERING-II

Evaluation Tools (Active Term)

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Course outcomes

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Course Syllabus

Reference Books & Course Materials

1. 01 Amyx, Bass ,Whiting(1988) Petroleum Reservoir Engineering, McGraw Hill, New York
2. 02 Dake, L.P. (1977) Fundamentals of Reservoir Engineering, Elsevier
3. 03 Lee, J.(1982) Well Testing, SPE,Dallas
4. 04 McCain, W.D (1990) The Properties of Petroleum Fluids , Penn Well Publishing Company, Oklahoma

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.

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