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. 10, 2015

Filed:

Aug. 31, 2012
Applicants:

Whitney Trainor-guitton, Pleasanton, CA (US);

Gary Michael Hoversten, Lafayette, CA (US);

Inventors:

Whitney Trainor-Guitton, Pleasanton, CA (US);

Gary Michael Hoversten, Lafayette, CA (US);

Assignees:

Chevron U.S.A. Inc., San Ramon, CA (US);

Lawrence Livermore National Laboratory, Livermore, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/18 (2006.01); G06N 7/00 (2006.01); G06Q 10/04 (2012.01); E21B 43/30 (2006.01); G01V 99/00 (2009.01);
U.S. Cl.
CPC ...
G06F 17/18 (2013.01); E21B 43/30 (2013.01); G06N 7/005 (2013.01); G06Q 10/043 (2013.01); G01V 99/005 (2013.01); G01V 2210/667 (2013.01);
Abstract

A system and a computer implemented method for determining a best well location from a plurality of possible well locations are described herein. The method includes drawing a plurality of earth models from a posterior distribution, wherein the posterior distribution is generated by stochastic inversion of existing data; calculating a well production at a plurality of proposed well locations within an earth model in the plurality of earth models using a relationship between the well production and earth parameters; calculating from the plurality of earth models, cost distributions using the relationship between well cost and the earth parameters; and calculating probability weighted values for the proposed well locations using probabilities from location dependent stochastic inversions as weights.


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