PETROLEUM RESERVIOR ENGINEERING-I

Course Description

Petroleum reservoir engineering course is designed to convey the students all the necessary information to get acquainted with reservoir engineering. Accordingly, the following topics will be discussed in detail: review of petroleum fluid properties and flow in porous media; reserve estimation using volumetric and material balance methods in gas, gas-condensate and oil reservoirs; discussion of reservoir drive mechanisms; aquifer models; decline analysis; routine and special core analysis; PVT data and equation of state modelling; single phase flow in reservoirs; introduction to well testing; introduction to reservoir modelling; introduction to reservoir recovery processes. Similarly, the following concepts will also be given, inclusive of practical applications: Darcy's Law and Applications, Concepts of permeability, Relative permeability, Capillary pressure, Wettability, Material Balance Equations for Different Types of Reservoirs and Drives, Aquifer Behaviour and Water Influx, Immiscible Displacement, Buckley-Leverett theory, Gravity-Stable Displacement, Water and Gas Injection, Coning and Cusping, Decline Curve Analysis, Reservoir and wellbore deliverability.

PETROLEUM RESERVIOR ENGINEERING-I

Evaluation Tools (Active Term)

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Course outcomes

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Course Syllabus

Reference Books & Course Materials

1. 01 All the lecture notes will be uploaded to the Moodle page.

Learning Outcomes

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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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