Inversion and Modelling Optimization
Geophysical Engineering
Institute of Natural and Applied Sciences
Third Cycle (Doctorate Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Inversion and Modelling Optimization | JFZ636 | Elective | Doctorate degree | 1 | Spring | 8 |
Name of Lecturer(s)
Prof. Dr. Bülent ORUÇ
Learning Outcomes of the Course Unit
1) Developing the subsurface complex geological features in the form of geophysical models (Idealization)
2) Defining the concept of the forward and inverse problem in modeling.
3) Applying the forward solution of interpretation models in exploration geophysics methods.
4) Defining the concept of the linear and nonlinear inversion solution and optimisation techniques in geophysical modelling.
5) Calculating the physical parameters in linear inverse solution with unconstrained and constrained least squares method.
6) Calculating the geometrical parameters in nonlinear inverse solution with unconstrained and constrained least squares method.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | ||
| Learning Outcomes | |||||||||||||||
| 1 | No relation | Middle | High | Middle | Middle | Middle | Middle | Middle | Middle | Middle | High | Low | Middle | High | |
| 2 | Middle | High | Low | Low | Middle | Middle | Middle | Low | Middle | Middle | Low | Middle | Low | Low | |
| 3 | Middle | Low | Middle | High | Middle | Middle | Middle | High | Low | Middle | High | Middle | Middle | Middle | |
| 4 | High | Middle | Low | Middle | Middle | High | Middle | Middle | Middle | High | Middle | High | High | High | |
| 5 | Middle | Middle | High | Low | Middle | Low | Middle | Middle | Low | High | Middle | Low | High | Middle | |
| 6 | High | High | Low | Middle | High | Middle | Low | High | Middle | Middle | High | Middle | Middle | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
No
Course Contents
This course provides candidates with profound knowledge on; well and ill-conditioned systems of linear equations, matris decompositions, structure of jacobian matrix, inverse problem solution with unconstrained and constrained least squares method, estimation of local minima of objective functions with complex gradient, steepest descent and simulated annealing and parameter optimization.
Weekly Schedule
1) x2) x
3) x
4) x
5) x
6) x
7) x
8) x
9) x
10) x
11) x
12) x
13) x
14) x
15) x
16) Final examination
Recommended or Required Reading
1- Oruç, B. 2012. Teori ve Örneklerle Jeofizikte Modelleme. Umuttepe Yayınları, 376 s., ISBN 978-605-5936-64-8.
2- Başokur, A. 2002. Doğrusal ve Doğrusal Olmayan Problemlerin Ters Çözümü, TMMOB Jeofizik Mühendisleri Odası, Ankara.
3- Menke, W., 1984. Geophysical data analysis: Discrete Inverse Theory. Academic Press.
4- Meju, M. A. 1994. Geophysical Data Analysis: Understanding Inverse Problem Theory and Practice, SEG publications, Course notes series, v.6.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Discussion
3) Demonstration
4) Group Study
5) Problem Solving
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% | ||||||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required