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:
Dec. 27, 2022

Filed:

Dec. 31, 2014
Applicant:

Halliburton Energy Services, Inc., Houston, TX (US);

Inventors:

Hua Xia, Huffman, TX (US);

Clovis S. Bonavides, Houston, TX (US);

Avinash V. Taware, The Woodlands, TX (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
E21B 47/10 (2012.01); E21B 47/06 (2012.01); E21B 47/12 (2012.01);
U.S. Cl.
CPC ...
E21B 47/10 (2013.01); E21B 47/06 (2013.01); E21B 47/12 (2013.01);
Abstract

A multiple parameter sensing leak detection system may include one or more multi-parameter sensing modules capable of simultaneously measuring downhole temperature, pressure, and acoustic signals. The temperature and pressure detectors may include quartz based sensing elements, and the acoustic detector may include piezoelectric based sensing elements. In one or more embodiments, a plurality of sensing modules may be carried on a caliper for allowing radial identification of leak location. In one or more embodiments, multiple calipers, each carrying a circumferential arrangement of sensing modules may be used to identify annular or inter-annular leakage beyond production tubing using triangulation techniques. A leak analysis method identifies if relative pressure and temperature variation amplitudes fall outside leak thresholds and if power spectral density from noise has anomalous frequency signatures. A leak event may be identified by relative pressure and temperature variation amplitude and verified by power spectral density variation.


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