Course - Geophysical Inversion - PG8108
PG8108 - Geophysical Inversion
About
Examination arrangement
Examination arrangement: Oral examination
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Oral examination | 100/100 |
Course content
Modeling methods for electromagnetic and seismic wave propagation in one-dimensional and three-dimensional anisotropic media. Inversion is defined as model fitting problem with unknown parameter which are estimated by Bayes estimation or maximum likelihood. Numerical solution of linear and non-linear least-squares problems. Methods for parameter estimation by deterministic and statistical (Bayesian) inversion, for seismic, electromagnetism, gravimetry and magnetometry. Principles for joint inversion of different types of geophysical data with structural and petrophysical constraints. Machine learning, and how it can be used to solve inversion problems
Learning outcome
After fulfilling the course, students should have
- Knowledge of the mathematical background for inversion methods and their regularization terms.
- Ability to define and characterize inversion problems after Hadamard, and to choose meaningful regularization.
- Solution methods for linear inversion problems and use of iteration methods for nonlinear problems.
Knowledge: The student should have basic knowledge of methods for seismic and electromagnetic depth imaging and inversion. This includes main classes of depth imaging (Kirchhoff, wave equation), different approaches to inversion (deterministic, statistic), and basic principles of simultaneous joint inversion (seismic, EM, gravity and magnetometry).
Skills: The student should be able to develop methods for seismic and electromagnetic depth imaging and geophysical inversion, both theoretically and numerically, as part of his or her PhD project.
General competence: The student will have general insight into the use of geophysical imaging and inversion used in the industry towards resource mapping, as well as opportunities and limitations of various methods.
Learning methods and activities
The course is taught by arrangement with the lecturer. The course is given if at least 3 students attend. Lecture, colloquia and self-study.
Further on evaluation
To pass the course a score of at least 70 percent (70 out of 100 points) is required.
Specific conditions
Admission to a programme of study is required:
Engineering (PHIV)
Required previous knowledge
Requires admission to the PhD programme in Engineering, specialization within Geophysics, or approval from the person with course responsibility. The course requires good mathematical skills.
Course materials
Selected papers from journals.
No
Version: 1
Credits:
12.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: SPRING 2024
Language of instruction: English
Location: Trondheim
- Seismics
- Applied Geophysics
Department with academic responsibility
Department of Geoscience and Petroleum
Examination
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral examination 100/100
-
Room Building Number of candidates - Spring ORD Oral examination 100/100
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"