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. 22, 2022

Filed:

Sep. 10, 2021
Applicant:

Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, CN;

Inventors:

Wang Zhang, Beijing, CN;

Boye Fu, Beijing, CN;

Guanfang Li, Beijing, CN;

Wenyang Wang, Beijing, CN;

Xiaocai Shan, Beijing, CN;

Fei Tian, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 29/07 (2006.01); G01N 33/24 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G01N 29/07 (2013.01); G01N 33/24 (2013.01); G01N 2291/011 (2013.01); G01N 2291/023 (2013.01); G01N 2291/02827 (2013.01); G01N 2291/0421 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/30181 (2013.01);
Abstract

A rock brittleness analysis method and system based on mineral content and distribution, and a device are provided. The rock brittleness analysis method includes: performing digital processing on an image of a rock, and performing an autocorrelation analysis on a two-dimensional (2D) array obtained after the digital processing to obtain an autocorrelation coefficient variation curve; using an abscissa value corresponding to an ordinate value of dropping to 1/e on the autocorrelation coefficient variation curve to be an autocorrelation length of the rock; constructing an autocorrelation function for describing a mineral distribution according to the autocorrelation length and the distribution characteristics of a mineral and an elastic modulus in the rock; reconstructing a rock sample of the rock to obtain density and elastic modulus distributions of the rock; and partitioning meshes of the reconstructed rock sample to obtain a brittleness index distribution of the to-be-analyzed rock partitioned in different scales.


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