Technical Content

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 ...

Information for upcoming Geotraining Carbonate Petrophysics Course in December, 2021.

Information for Geotraining Fractured Reservoirs Course in November, 2021.

Information for Geotraining Carbonate Reservoir Geology course in November, 2021.

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 ...

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 ...

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 ...

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 ...

We have implemented 3D faults as discontinuity surfaces, of finite extent, in the RLM-3D inversion regularization, and used the scheme during both 3D cooperative and cross-gradient joint inversions of geothermal MT and gravity data, firstly for synthetic model, and then for the Sorik Marapi ...