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:
May. 11, 2021

Filed:

Jul. 09, 2019
Applicant:

Petrochina Company Limited, Beijing, CN;

Inventors:

Zhou Feng, Beijing, CN;

Hongliang Wu, Beijing, CN;

Ning Li, Beijing, CN;

Kewen Wang, Beijing, CN;

Peng Liu, Beijing, CN;

Yusheng Li, Beijing, CN;

Huafeng Wang, Beijing, CN;

Binsen Xu, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G01V 3/20 (2006.01); G01V 3/38 (2006.01); G06K 9/36 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G01V 3/20 (2013.01); G01V 3/38 (2013.01); G06K 9/0063 (2013.01); G06K 9/36 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.


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