course-details-portlet

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.

More on the course

No

Facts

Version: 1
Credits:  12.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Seismics
  • Applied Geophysics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Geoscience

Timetable

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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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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