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Technical Content

Industry Article
GeoExpro | Gregor Duval, Madhurima Bhattacharya ©2021 GeoPublishing Ltd | October

At first glance, the Western Indian Ocean region may look like a barren oceanic crust with little potential, but there is tantalising evidence to suggest otherwise. CGG geoscientists have been sifting through the evidence to re-evaluate opportunities offshore East Africa and in the Western ...

Flyer
©2021 CGG | October

Preserve the geological and seismic detail in your static model during history matching, assess uncertainty and reduce time spent on manual model updates with this innovative and efficient ensemble-based multi-scale data-driven approach.

Flyer
©2021 CGG | October

Get more geological detail into your static models and assess uncertainty with a full range of stochastic model realizations using this innovative ensemble-based petrophysical inversion workflow

Industry Article
The Leading Edge | Fabien Allo, Jean-philippe Coulon, Jean-Luc Formento, Romain Reboul (CGG) ; Laure Capar, Mathieu Darnet, Benoit Issautier, Stephane Marc, Alexandre Stopin (BRGM) ©2021 SEG | October

Deep neural networks are used to characterize the porosity and permeability of the Dogger formation north-east of Paris, France, that already hosts a number of geothermal plants and is set to become even more important with the transition toward renewable energies. Due to the ...

Industry Article
The Leading Edge | Henning Hoeber ©2021 SEG | September

This paper shows how to calculate the bias due to misspecified models in least-squares parameter estimation. It introduces Omitted Variable Bias (OVB), a technique well known in least-squares analysis in the context of econometric data analysis. OVB is applied to the analysis of linearized ...