The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 05, 2019
Filed:
May. 19, 2011
Adam Usadi, Basking Ridge, NJ (US);
Dachang LI, Katy, TX (US);
Rossen Parashkevov, Houston, TX (US);
Sergey A. Terekhov, Troitsk, RU;
Xiaohui Wu, Sugar Land, TX (US);
Yahan Yang, Pearland, TX (US);
Adam Usadi, Basking Ridge, NJ (US);
Dachang Li, Katy, TX (US);
Rossen Parashkevov, Houston, TX (US);
Sergey A. Terekhov, Troitsk, RU;
Xiaohui Wu, Sugar Land, TX (US);
Yahan Yang, Pearland, TX (US);
ExxonMobil Upstream Research Company, Spring, TX (US);
Abstract
There is provided a method for modeling a hydrocarbon reservoir that includes generating a reservoir model comprising a plurality of sub regions. At least one of the sub regions is simulated using a training simulation to obtain a set of training parameters comprising state variables and boundary conditions of the at least one sub region. A machine learning algorithm is used to approximate, based on the set of training parameters, an inverse operator of a matrix equation that provides a solution to fluid flow through a porous media. The hydrocarbon reservoir can be simulated using the inverse operator approximated for the at least one sub region. The method also includes generating a data representation of a physical hydrocarbon reservoir can be generated in a non-transitory, computer-readable, medium based, at least in part, on the results of the simulation.