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.

Date of Patent:
Jun. 06, 2023

Filed:

May. 06, 2020
Applicant:

Exxonmobil Technology and Engineering Company, Spring, TX (US);

Inventors:

Amit Kushwaha, The Woodlands, TX (US);

Ratnanabha Sain, Houston, TX (US);

Jan Schmedes, Bellaire, TX (US);

Yunfei Yang, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 99/00 (2009.01); G06F 30/27 (2020.01); E21B 49/00 (2006.01); G01V 1/28 (2006.01); G01V 1/30 (2006.01); G06N 3/08 (2023.01); G01V 11/00 (2006.01);
U.S. Cl.
CPC ...
G01V 99/005 (2013.01); E21B 49/00 (2013.01); G01V 1/282 (2013.01); G01V 1/306 (2013.01); G01V 11/00 (2013.01); G06F 30/27 (2020.01); G06N 3/08 (2013.01); E21B 2200/20 (2020.05); G01V 2210/614 (2013.01); G01V 2210/6242 (2013.01); G01V 2210/6244 (2013.01); G01V 2210/667 (2013.01);
Abstract

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.


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