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:
Jan. 21, 2025

Filed:

Jan. 30, 2024
Applicant:

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

Inventors:

Hai Sun, Shandong, CN;

Fei Luo, Shandong, CN;

Dongyan Fan, Shandong, CN;

Lei Zhang, Shandong, CN;

Jun Yao, Shandong, CN;

Shuaishi Fu, Shandong, CN;

Kai Zhang, Shandong, CN;

Yongfei Yang, Shandong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
E21B 43/16 (2006.01); E21B 49/08 (2006.01); G01V 20/00 (2024.01); G06Q 50/02 (2012.01);
U.S. Cl.
CPC ...
E21B 43/16 (2013.01); E21B 49/087 (2013.01); G01V 20/00 (2024.01); G06Q 50/02 (2013.01); E21B 2200/20 (2020.05);
Abstract

Provided is a method for shale gas production prediction, including: acquiring real shale gas production data, and determining a target production decline curve model according to the real shale gas production data; setting a time step for production prediction, and obtaining a linear production decline curve by performing production prediction by using the target production decline curve model based on the time step; determining target shale gas production residuals according to the linear production decline curve and the real shale gas production data, inputting the target shale gas production residuals to a long short-term memory, and obtaining a residual prediction result by performing production prediction according to the long short-term memory and the time step; and determining a target production prediction result of shale gas well to be subjected to production prediction based on the linear production decline curve and the residual prediction result.


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