SEISMIC METHODS IN PETROLEUM INVESTIGATIONS

Course Description

This course is designed to provide basic background for the processing of digital seismic data, particularly used by petroleum industry. The course includes seismic methods in applied exploration geophysics emphasizing interpretation theory, including inversion techniques and constraining solutions by incorporating a priori geological information. Principles and methods in petroleum seismology, with emphasis on exploring and characterizing petroleum reservoirs, will be studied by using seismic methods. The emphasis is placed on the principles and practicality of the major processing methods, including sampling, filtering, deconvolution, seismic modeling and migration imaging. The general technical issues in exploring petroleum reservoirs using seismic method, such as in assessing the suitability of using seismic reflection method for petroleum reservoirs will be identified in the course.

SEISMIC METHODS IN PETROLEUM INVESTIGATIONS

Evaluation Tools (Active Term)

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 1. Andreas Stark · 2010. Seismic Methods and Applications A Guide for the Detection of Geologic Structures, Earthquake Zones and Hazards, Resource Exploration, and Geotechnical Engineering
2. 02 2. Seismic Imaging Methods and Applications for Oil and Gas Exploration. Yasir Bashir, Amir Abbas Babasafari, vd. 2022 Elsevier

Learning Outcomes

1. L01 Explain (4) the fundamental principles of geophysical methods used in petroleum and gas exploration . SOLO 4
2. L02 Analyze (4) the characteristics of seismic waves, signals, and data acquisition parameters for subsurface imaging SOLO 4
3. L03 Apply digital seismic data processing techniques, including sampling, filtering, deconvolution, and migration imaging SOLO 3
4. L04 Interpret geophysical and geological data to solve complex engineering problems in petroleum exploration SOLO 5

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