Available courses

Facies prediction along the wellbore using Machine Learning

Based on Open Source software we offer a one-day (8hrs) Face-to-Face and a one-month duration (8hrs equivalent) E-learning course. 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




A Gentle Introduction to ElectroMagnetism (EM) for Geophysics

This course is available as a F2F course as well as an E-Learning course.
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.

Introduction to Machine Learning for Geophysical Applications

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

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 in multi-dimensional space (classification, regression, prediction, clustering) and map it onto a lower dimensional space while maintaining the inter-data relationships.

Geophysical Data Acquisition and Processing

This course is available as a F2F course as well as an E-Learning course.

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.


Advanced Seismic Data Acquisition and Processing

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

Non-Seismic Data Acquisition and Processing

This course is available as a F2F course as well as an E-Learning course.
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.

Quantitative Reservoir Characterization

This course is available as a F2F course as well as an E-Learning course.
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).

Machine Learning for Geophysical Applications - NExT