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:
Mar. 10, 2026

Filed:

Sep. 29, 2021
Applicants:

China Petroleum & Chemical Corporation, Beijing, CN;

Sinopec Exploration & Production Research Institute, Beijing, CN;

Inventors:

Xiaolu Yu, Beijing, CN;

Yongqiang Zhao, Beijing, CN;

Chunhua Ni, Beijing, CN;

Zhongliang MA, Beijing, CN;

Shengyou Zhou, Beijing, CN;

Weili Yang, Beijing, CN;

Jun Zhang, Beijing, CN;

Cheng Tao, Beijing, CN;

Kuang Li, Beijing, CN;

Qiang Wang, Beijing, CN;

Lunju Zheng, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/77 (2022.01); G06V 10/14 (2022.01); G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/60 (2022.01);
U.S. Cl.
CPC ...
G06V 10/7715 (2022.01); G06V 10/14 (2022.01); G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/60 (2022.01);
Abstract

A method for rock identification includes the steps of receiving a rock slice image transmitted by an image acquisition device, generating a geometric feature, a mineral feature and a structural feature corresponding to a rock slice based on the rock slice image, and generating an identification result of the rock slice based on the geometric feature, the mineral feature and the structural feature. After the rock slice image is obtained, the rock slice image is subject to feature extraction based on three dimensions, i.e., the geometric feature, the mineral feature and the structural feature, the properties of rock are determined based on multiple dimensional features, and finally the identification result comprising a textual description is generated. After a microscopic visual image corresponding to the rock slice is obtained, feature extraction based on multiple dimensions is performed on the image, and the rock slice is identified with reference to multi-dimensional features.


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