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. 16, 2026

Filed:

Mar. 30, 2022
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Rodrigo Neumann Barros Ferreira, Rio de Janeiro, BR;

Jaione Tirapu Azpiroz, Rio de Janeiro, BR;

Ronaldo Giro, São Paulo, BR;

Mathias B Steiner, Rio de Janeiro, BR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/28 (2020.01); G06F 30/27 (2020.01); G06N 3/08 (2023.01); G06F 113/08 (2020.01);
U.S. Cl.
CPC ...
G06F 30/28 (2020.01); G06F 30/27 (2020.01); G06N 3/08 (2013.01); G06F 2113/08 (2020.01);
Abstract

Systems and methods for predicting fluid flow of porous media are provided. In implementations, a method includes: accessing, by a computing device, a capillary network representation of a porous medium sample; generating, by the computing device, a set of simplified network representations from the capillary network representation; determining, by the computing device, simulated fluid flow properties of each of the simplified network representations using a simulator to perform fluid flow simulations; and training, by the computing device, a neural network (NN) model utilizing the set of simplified network representations as inputs and the simulated fluid flow properties as model targets, thereby generating a trained NN model for predicting fluid flow properties of the porous medium.


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