2023-2024 / GEOL1052-1

Project in inverse modelling : from field to algorithms


5h Th, 40h Pr, 30h Proj., 4d FW

Number of credits

 Master of Science (MSc) in Geological and Mining Engineering5 crédits 


Frédéric Nguyen

Language(s) of instruction

English language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Automatic translation follows:

The course aims to understand the algorithms used to obtain images of the subsurface in geophysics through two particular methods, to better understand their possibilities and limitations and to define avenues for improvement. The course is essentially based on a project consisting in collecting data on a given site for a defined objective and processing these data to obtain a better understanding of the subsurface. 


-course objectives and project definition.
-Choice between wave method (seismic) or potential method (electrical or induced polarization) and presentation of the study site

-presentation of the equipment and data collection 

-presentation of the algorithms classically used to invert seismic or electrical data

Project follow-up:
-Data processing
-Standard" inversion

Oral presentation of the project (in the form of a powerpoint or equivalent)


! THe course is organized every two years (Q1 2021 - Q1 2023...)


Learning outcomes of the learning unit

At the end of this course, the student will be able to master geophysical imaging capabilities, communicate geophysical imaging results and propose ways to improve existing algorithms to provide a better characterization of the subsurface.

This course contributes to the learning outcomes I.3, III.1, VI.1 of the MSc in geological and mining engineering.

Prerequisite knowledge and skills

Applied geophysics course (GEOL0021 or equivalent)
Numerical methods course
Linear algebra

Planned learning activities and teaching methods

Field data collection
Bibliographic research
Oral presentation

Mode of delivery (face to face, distance learning, hybrid learning)

Blended learning

Additional information:

Project presentation and follow-up sessions will be organized in person. Since a significant part of the work is project-related, some parts of the course will be de facto organized at a distance. Follow-up sessions will be organized in person as well as oral presentations.

Recommended or required readings

Parameter estimation and inverse problems by Aster et al. available in bookstores and via the online library network.

Exam(s) in session

Any session

- In-person

oral exam

Continuous assessment

Out-of-session test(s)

Additional information:

The evaluation will be based on the continuous work done during the semester and on the oral presentation and the corresponding question/answer session.

Work placement(s)

Organisational remarks and main changes to the course

Field data collection may require travel to Belgium, and staying for periods of several days for example for temporal monitoring.

The course is organized every two years (Q1 2021 - Q1 2023 ...).



Association of one or more MOOCs