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:
Nov. 15, 2022

Filed:

Mar. 17, 2022
Applicant:

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

Inventors:

Fei Tian, Beijing, CN;

Jiangyun Zhang, Beijing, CN;

Qingyun Di, Beijing, CN;

Wenhao Zheng, Beijing, CN;

Zhongxing Wang, Beijing, CN;

Yongyou Yang, Beijing, CN;

Wenxiu Zhang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/30 (2006.01); G01V 1/28 (2006.01);
U.S. Cl.
CPC ...
G01V 1/306 (2013.01); G01V 1/282 (2013.01); G01V 1/307 (2013.01); G01V 2210/6169 (2013.01); G01V 2210/624 (2013.01); G01V 2210/63 (2013.01);
Abstract

The present invention belongs to the field of treatment for data identification and recording carriers, and specifically relates to a method and system for evaluating the filling characteristics of a deep paleokarst reservoir through well-to-seismic integration, which aims to solve the problems that by adopting the existing petroleum exploration technology, the reservoir with fast lateral change cannot be predicted, and the development characteristics of a carbonate cave type reservoir in a large-scale complex basin cannot be identified. The method comprises: acquiring data of standardized logging curves; obtaining a high-precision 3D seismic amplitude data body by mixed-phase wavelet estimation and maximum posteriori deconvolution and enhancing diffusion filtering. According to the method and the system, the effect of identifying the development characteristics of the carbonate karst cave type reservoir in the large-scale complex basin can be achieved, and the characterization precision is improved.


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