Ifp Energies Nouvelles

Mathieu Feraille

Vincent Clochard

Youri Hamon

Maxime Moreaud

Veronique Gervais-Couplet

Sylvain Desroziers

Antoine Bouziat

Sebastien Da Veiga

Daniel Busby

Thomas Romary

Samir Touzani

The present invention relates to a method of detecting a geological constituent (cge) of a rock sample, by use of a machine learning method (ALG) trained with a limited number of training images (IAP), through segmentation (SEG) and partitioning (DEC) of training images (IAP) into multiple patches.

Method of detecting at least one geological constituent of a rock sample

A method for evaluating an underground reservoir production scheme accounting for uncertainties is disclosed having applications, for example, to the development of petroleum reservoirs. Flow simulator input parameters characterizing the reservoir and the production scheme are selected. An approximate analytical model allowing the reservoir responses to be predicted is constructed. A desired degree of accuracy Dis defined, this degree of accuracy Dmeasuring the difference between the responses of the model and those of the simulator. The degree of accuracy D(M) of the predictions of the model is calculated. Simulations are selected which are performed, pertinent for adjustment of the model. The simulations are carried out for each response simulated by the simulator and the analytical model is adjusted by means of an approximation method. This operation is repeated until the desired degree of accuracy Dis reached and the production scheme is evaluated by analyzing the reservoir responses predicted by the approximate analytical model.

Method for evaluating an underground reservoir production scheme taking account of uncertainties

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Houilles, France

Mathieu Feraille