Available courses

Quantitative Reservoir Characterization

This course is available as a F2F course (see the course program) as well as an Blended Learning course (see the course program).
This course deals mainly with combining quantitative seismic measurements with rock physics to determine the lithology, porosity, and pore fluid saturations. A most interesting application is of course time-lapse seismic in which the production is monitored from the surface (remotely).

Do the Quiz 0 to check whether this course is suitable for you.

Non-Seismic Data Acquisition and Processing

This course is available as a F2F course as well as an E-Learning course (see the course program).
This course will introduce the acquisition and processing of a range of non-seismic data. As an example: Marine Controlled Source Electro-Magnetics (CSEM) to detect directly the presence of hydrocarbons in seismically determined reservoir volumes.

Do the Quiz 0 to check whether this course is suitable for you.

Machine Learning for Geophysical Applications

Artificial Intelligence is no more and no less than a powerful extension of the human intelligence. Its power is in its capability to master data structures in multi-dimensional space (classification, clustering, regression, prediction) and map the data onto a better-understandable, lower-dimensional space while maintaining the inter-data relationships.

Based on Open Source software, an 8hrs E-learning course (see the course program) is available, optionally spread over two days, in addition to a one-day F2F course.
The course consists of presentations, based on publications together with computer-based exercises and Machine Learning related videos.

Do the Quiz 0 to check whether this course is suitable for you.


Advanced Seismic Data Acquisition and Processing

This course is available as a Blended learning course (see the course program) and as face to face course (see the course program).
This course will explain how to design optimum seismic acquisition and processing to obtain the maximum resolution at the targets. This might involve complementary non-seismic data in joint inversion schemes.

Is this the right course for you? Check this with Quiz 0.

Machine Learning for Facies Prediction

Based on Open Source software we offer a  Blended learning course (see the course program) and as face to face course (see the course program).
The course consists of PowerPoint presentations with references to publications together with computer-based exercises and Machine Learning related videos and active participant interaction.

Check your knowledge of Machine Learning in this Quiz.

Geophysical Data Acquisition and Processing

This course is available as a F2F course as well as an E-Learning course (see the course program).

This course will explain geophysical methods used in the search for hydrocarbons and minerals, monitoring pollution, and rejuvenation of polluted sites. These methods are gravity, magnetics, electrical, electromagnetics and seismic.


A Gentle Introduction to ElectroMagnetism (EM) for Geophysics

This course is available as a F2F course as well as an E-Learning course (see the course program).
Of all technologies available in geophysics, electromagnetic methods have the widest range of applications, a result of the large spectrum of frequencies that can be used.