Available courses

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


Start time: Jan. 1st, April 1st, July 1st, Oct 1st 2019                    Duration: 3 months

Introduction

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.


Start time: Jan. 1st, April 1st, July 1st, Oct 1st 2019                    Duration: 3 months

Introduction

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


Start time: Jan. 1st, April 1st, Oct 1st 2019                                 Duration: 3 months

Introduction

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.


Start time: Jan. 1st, April 1st, Oct 1st 2019                                 Duration: 3 months

Introduction

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).