Exxonmobil Upstream Research Company

Exxonmobil Technology and Engineering Company

Amit Kushwaha

Matthias Imhof

Pavel Dimitrov

Jan Schmedes

Antonio R C Paiva

Ratnanabha Sain

Yunfei Yang

A method and system for modeling a subsurface region include applying a trained machine learning network to an initial petrophysical parameter estimate to predict a geologic prior model; and performing a petrophysical inversion with the geologic prior model, geophysical data, and geophysical parameters to generate a rock type probability model and an updated petrophysical parameter estimate. Embodiments include managing hydrocarbons with the rock type probability model. Embodiments include checking for convergence of the updated petrophysical parameter estimate; and iteratively: applying the trained machine learning network to the updated petrophysical parameter estimate of a preceding iteration to predict an updated rock type probability model and another geologic prior model; performing a petrophysical inversion with the updated geologic prior model, geophysical seismic data, and geophysical elastic parameters to generate another rock type probability model and another updated petrophysical parameter estimate; and checking for convergence of the updated petrophysical parameter estimate.

Petrophysical inversion with machine learning-based geologic priors

A method to select a representative subset of a plurality of horizon surfaces or surface patches from geophysical subsurface imaging data, including: defining a score function on one or more horizon surfaces or surface patches; calculating, by a computer, the score for each of the plurality of horizon surfaces or surface patches with regard to other horizon surfaces or surface patches and whether the other horizon surfaces or surface patches have been selected or not for inclusion or exclusion in the subset of the plurality of horizon surfaces; selecting, by a computer, one or more of the plurality of horizon surfaces or surface patches to be included in the subset of the plurality of horizon surfaces or surface patches or excluded from the subset of the plurality of horizon surfaces or surface patches based on their respective scores; iteratively repeating the selecting and calculating steps until a stopping condition is reached and the subset of the plurality of horizon surfaces or surface patches is determined; and performing interpretation on the subset of the plurality of horizon surfaces or surfaces patches.

Method for selecting horizon surfaces

Growing community of inventors

The Woodlands, TX, United States of America

Amit Kushwaha