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.
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
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.
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
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.
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).
