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. 11, 2022

Filed:

Mar. 20, 2019
Applicant:

Qri Group, Llc, Houston, TX (US);

Inventors:

Ali Karimi Vajargah, Houston, TX (US);

David Castineira, Cambridge, MA (US);

Zheren Ma, Houston, TX (US);

Cedric Gael Fraces Gasmi, Standford, CA (US);

Hamed Darabi, Houston, TX (US);

Assignee:

QRI GROUP, LLC, Houston, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
E21B 44/00 (2006.01); E21B 49/00 (2006.01); G06F 17/18 (2006.01); G06N 20/10 (2019.01); E21B 47/13 (2012.01); G06F 40/20 (2020.01);
U.S. Cl.
CPC ...
E21B 44/00 (2013.01); E21B 47/13 (2020.05); E21B 49/003 (2013.01); G06F 17/18 (2013.01); G06F 40/20 (2020.01); G06N 20/10 (2019.01);
Abstract

Embodiments are directed to managing and improving a drilling and completions process at a hydrocarbon extraction site, and to optimizing resource allocation at a hydrocarbon extraction site/region. In one scenario, a computer system accesses data generated by hardware sensors implemented by drilling and completion equipment at a hydrocarbon extraction site. The computer system formats the sensor data into a form readable by a data mining algorithm, and mines the formatted sensor data to identify characteristics related to the drilling and completion process. The computer system also accesses and integrates historical data related to the drilling and completion equipment at the hydrocarbon extraction site. The computer system then computes drilling and completion performance indicators that identify inefficiencies based on the characteristics identified for the equipment and based on the accessed historical data. Then, a remediation step is performed to resolve the identified inefficiency.


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