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. 05, 2022

Filed:

Sep. 23, 2021
Applicant:

Southwest Petroleum University, Sichuan, CN;

Inventors:

Xiaohua Tan, Sichuan, CN;

Xiaobing Han, Sichuan, CN;

Xiaoping Li, Sichuan, CN;

Mingqing Kui, Sichuan, CN;

Zhenglin Mao, Sichuan, CN;

Guojun Yang, Sichuan, CN;

Hao Yang, Sichuan, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
E21B 47/10 (2012.01); E21B 47/06 (2012.01);
U.S. Cl.
CPC ...
E21B 47/10 (2013.01); E21B 47/06 (2013.01); E21B 2200/20 (2020.05);
Abstract

An intelligent water invasion tracking and early warning method for water-gas reservoirs includes based on the gas-water two-phase seepage equation, obtaining the water invasion constant and the water flooding index by combining the gas-water two-phase permeability expression with the water invasion material balance method, fitting by automatic fitting method, finding a best fitting between an optimal theoretical value and an actual value, dividing a block into different water invasion areas based on the water flooding index, revising a water invasion classification boundary based on production dynamic monitoring and well logging interpretation results, and tracking and early warning water invasion by drawing a water flooding index distribution map of water-gas reservoirs according to the water flooding index. The present invention solves the problem of no method for tracking and predicting the water invasion direction and the water invasion intensity in real time.


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