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:
Sep. 03, 2024

Filed:

Jul. 21, 2021
Applicant:

C3.ai, Inc., Redwood City, CA (US);

Inventors:

Amir Hossein Delgoshaie, Palo Alto, CA (US);

Mehdi Maasoumy Haghighi, Redwood City, CA (US);

Riyad Sabir Muradov, Redwood City, CA (US);

Sina Khoshfetratpakazad, Redwood City, CA (US);

Henrik Ohlsson, Menlo Park, CA (US);

Philippe Ivan S. Wellens, Moraga, CA (US);

Assignee:

C3.ai, Inc., Redwood City, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
E21B 49/00 (2006.01); E21B 43/20 (2006.01); G06V 10/84 (2022.01);
U.S. Cl.
CPC ...
E21B 49/008 (2013.01); E21B 43/20 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05); G01V 2210/663 (2013.01); G06V 10/84 (2022.01);
Abstract

A method of waterflood management for reservoir(s) having production hydrocarbon-containing well(s) including injector well(s). A reservoir model has model parameters in a mathematical relationship relating a water injection rate to a total production rate of the production well including at least one of a hydrocarbon production rate and water production rate. A solver implements automatic differentiation utilizing training data regarding the reservoir including operational data that includes recent sensor and/or historical data for the water injection rate and the hydrocarbon production rate, and constraints for the model parameters. The solver solves the reservoir model to identify values or value distributions for the model parameters to provide a trained reservoir model. The trained reservoir model uses water injection schedule(s) for the injector well to generate predictions for the total production rate.


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