Capillary Network Simulations Based on a Low-Dimensional Representation of Porous Media
Patent №
US 10,691,846
Granted
2020-06-23
Filed 2017
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION
Lab
AI components
2
ml · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15446410
A method is provided including receiving data corresponding to a three-dimensional physical representation of a porous rock sample; calculating a low-dimensional representation of a pore network in the porous rock sample based on the three-dimensional physical representation; extracting one or more geometrical parameter from the low-dimension representation; generating a capillary network model of the porous rock sample based at least on the at least one geometrical parameter for simulating fluid flow inside the porous rock sample; and performing at least one simulation of a flow of the fluid through the capillary network model of the porous rock sample with a fluid additive to provide a predicted enhanced fluid recovery efficiency.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION
assignment · 415070330
Assignors
BRYANT, PETER WILLIAM, CANDELA, WILLIAM FERNANDO LOPEZ, CUNHA, ALEXANDRE ASHADE LASSANCE, FERREIRA, RODRIGO NEUMANN BARROS, STEINER, MATHIAS B
On an employer assignment, the assignors are typically the inventors.