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:
Oct. 27, 2020

Filed:

Feb. 01, 2018
Applicant:

Conocophillips Company, Houston, TX (US);

Inventors:

David V. Amendt, Calgary, CA;

Seth Busetti, Houston, TX (US);

William R. Morris, Houston, TX (US);

Eric Cline, Olympia, WA (US);

Fabian Duque-Botero, Boynton Beach, FL (US);

Peter S. D'Onfro, Katy, TX (US);

Peter H. Hennings, West Lake Hills, TX (US);

Assignee:

CONOCOPHILLIPS COMPANY, Houston, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 1/08 (2006.01); G01N 3/08 (2006.01); G01N 33/24 (2006.01); E21B 49/00 (2006.01); G01N 3/00 (2006.01); G06F 30/20 (2020.01); G01V 99/00 (2009.01);
U.S. Cl.
CPC ...
G01N 1/08 (2013.01); E21B 49/005 (2013.01); G01N 3/00 (2013.01); G01N 3/08 (2013.01); G01N 33/24 (2013.01); G06F 30/20 (2020.01); G01N 2203/0053 (2013.01); G01N 2203/0067 (2013.01); G01N 2203/0218 (2013.01); G01V 99/00 (2013.01); G01V 2210/6242 (2013.01);
Abstract

This disclosure describes a novel method for predicting or estimating rock mechanical properties from cuttings at a particular depth based on determining the facies, plotting the facies on a ternary diagram with clay, silica and carbonate endpoints, and estimating rock mechanical properties based on comparison to a database of core samples from vertical wells that is also organized by depth and facies. We have shown that datapoints at similar locations on the ternary diagram will have fairly similar rock properties. These rock properties can be used to improve the reliability of a variety of reservoir modeling platforms, which can then be used in designing and implementing completion, stimulation and production plans.


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