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. 08, 2022

Filed:

Oct. 25, 2018
Applicant:

Schlumberger Technology Corporation, Sugar Land, TX (US);

Inventors:

Bo Fan, Medford, MA (US);

Maja Skataric, Cambridge, MA (US);

Sandip Bose, Brookline, MA (US);

Shuchin Aeron, Medford, MA (US);

Smaine Zeroug, Lexington, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/50 (2006.01); G06N 20/10 (2019.01); E21B 47/005 (2012.01); G01V 1/46 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G01V 1/50 (2013.01); E21B 47/005 (2020.05); G01V 1/46 (2013.01); G06N 3/0472 (2013.01); G06N 3/08 (2013.01); G06N 20/10 (2019.01); E21B 2200/22 (2020.05); G01V 2210/1299 (2013.01); G01V 2210/1429 (2013.01); G01V 2210/324 (2013.01); G01V 2210/62 (2013.01);
Abstract

A sonic tool is activated in a well having multiple casings and annuli surrounding the casing. Detected data is preprocessed using slowness time coherence (STC) processing to obtain STC data. The STC data is provided to a machine learning module which has been trained on labeled STC data. The machine learning module provides an answer product regarding the states of the borehole annuli which may be used to make decision regarding remedial action with respect to the borehole casings. The machine learning module may implement a convolutional neural network (CNN), a support vector machine (SVM), or an auto-encoder.


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