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.
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
Overview of carbonates short courses for Nov, Dec 2021.
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 ...