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Technical Content

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 ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Helene Toubiana, Guillaume Gigou, Jean-baptiste Mitschler, Nicolas Salaun © 2020 EAGE | August

Over the past 35 years, geothermal projects have been developed in Upper Rhine Graben (URG) to exploit deep geothermal energy. Below a couple of kilometers of sediment, the deep target consists of granitic basement, highly fractured and hydro-thermally altered, having a high reservoir potential ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Diego Carotti, Olivier Hermant, Sylvain Masclet, Mathieu Reinier, Jeremie Messud, Anna Sedova, Gilles Lambare © 2020 EAGE | August

While full waveform inversion (FWI) has imposed itself as a privileged velocity model building tool in areas investigated by diving waves, it is still penalized by its sensitivity to cycle skipping. Among the various strategies proposed to mitigate the problem, optimal transport (OT) FWI ...

Technical Abstract
EAGE - European Association of Geoscientists and Engineers | Nicolas Salaun, Mathieu Reinier, Andrew Wright, Guillaume Henin, Guillaume Gigou © 2020 EAGE | August

The source-over-streamer configuration has been designed to improve pre-processing of the seismic data leading to high-resolution imaging. It also leads to new residual moveout information, unique in its high quality and density. By adding a front source to the original design, long offset information ...

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