IDiyas

For the Inventor, By the Inventor

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.:

US 11954417 B1

PDFFull Text
Date of Patent:
Apr. 09, 2024

Filed:

Nov. 08, 2023

Method for predicting permeability of multi-mineral phase digital core based on deep learning

Applicant:

China University of Petroleum (East China), Qingdao, CN;

Inventors:

Hai Sun, Qingdao, CN;

Liang Zhou, Qingdao, CN;

Dongyan Fan, Qingdao, CN;

Lei Zhang, Qingdao, CN;

Jun Yao, Qingdao, CN;

Yongfei Yang, Qingdao, CN;

Kai Zhang, Qingdao, CN;

Qian Sang, Qingdao, CN;

Xia Yan, Qingdao, CN;

Lei Liu, Qingdao, CN;

Fei Luo, Qingdao, CN;

Yuda Kan, Qingdao, CN;

Assignee:

CHINA UNIVERSITY OF PETROLEUM (EAST CHINA), Qingdao, CN;

Attorney:

Kolitch Romano Dascenzo Gates LLC

Primary Examiner:

Steven W Crabb

Int. Cl.
CPC ...
G06F 30/28 (2020.01); G06F 30/27 (2020.01); G06F 113/08 (2020.01);
U.S. Cl.
CPC ...
G06F 30/28 (2020.01); G06F 30/27 (2020.01); G06F 2113/08 (2020.01);
Abstract

Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core.

Find Patent Forward Citations

Loading…