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:
Jul. 01, 2025

Filed:

Dec. 20, 2024
Applicants:

Southwest Petroleum University, Chengdu, CN;

China University of Geosciences, Wuhan, Wuhan, CN;

Jiangxi Provincial Shale Gas Investment Company, Ltd, Nanchang, CN;

Inventors:

Xinyang He, Chengdu, CN;

Kun Zhang, Chengdu, CN;

Shu Jiang, Wuhan, CN;

Hulin Niu, Chengdu, CN;

Weiwei Liu, Nanchang, CN;

Songyang Wan, Nanchang, CN;

Chengzao Jia, Chengdu, CN;

Yan Song, Chengdu, CN;

Xiong Ding, Chengdu, CN;

Xueying Wang, Chengdu, CN;

Yi Shu, Wuhan, CN;

Tianyou Zhi, Nanchang, CN;

Daiyu Wu, Nanchang, CN;

Sihong Cheng, Nanchang, CN;

Yongjun Li, Nanchang, CN;

Yiting Qiao, Chengdu, CN;

Yi Zhang, Chengdu, CN;

Jiayi Liu, Chengdu, CN;

Lei Chen, Chengdu, CN;

Xuefei Yang, Chengdu, CN;

Fengli Han, Chengdu, CN;

Weishi Tang, Chengdu, CN;

Jingru Ruan, Chengdu, CN;

Hengfeng Gou, Chengdu, CN;

Yi Xiao, Chengdu, CN;

Lintao Li, Chengdu, CN;

Yipeng Liu, Chengdu, CN;

Ping Liu, Chengdu, CN;

Zeyun Wang, Chengdu, CN;

Laiting Ye, Chengdu, CN;

Meijia Wu, Chengdu, CN;

Lu Lu, Chengdu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 23/20 (2018.01); G01N 33/24 (2006.01);
U.S. Cl.
CPC ...
G01N 23/20 (2013.01); G01N 33/24 (2013.01); G01N 2223/616 (2013.01);
Abstract

A calculation method for fractal dimensions of shale pores includes steps as follows. S1: multiple shale samples from a target stratum of a study area are obtained, parameter values of geological parameters of each of the multiple shale samples are obtained, followed by dividing the multiple shale samples into target shale samples and experimental shale samples. S2: PCA is performed on the parameter values to obtain principal components representing a variation of the geological parameters. fractal dimensions are calculated based on an existing fractal dimension calculation method. S3: the principal components are used as independent variables and the fractal dimensions are used as dependent variables, followed by performing regression analysis to obtain a quantitative calculation model. S4: the fractal dimensions of the target shale sample are calculated according to the parameter values and the quantitative calculation model for the fractal dimension based on the parameter values.


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