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:
Apr. 27, 2021

Filed:

Jan. 13, 2014
Applicant:

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

Inventors:

William J. Bailey, Somerville, MA (US);

Benoit Couet, Belmont, MA (US);

Peter Kaufman, Highlands Ranch, CO (US);

Oliver C. Mullins, Houston, TX (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
E21B 49/08 (2006.01); G01V 99/00 (2009.01); G01V 11/00 (2006.01); E21B 49/10 (2006.01); E21B 49/00 (2006.01);
U.S. Cl.
CPC ...
G01V 99/005 (2013.01); E21B 49/00 (2013.01); E21B 49/08 (2013.01); E21B 49/087 (2013.01); E21B 49/10 (2013.01); G01V 11/00 (2013.01); E21B 2200/20 (2020.05);
Abstract

A method for deriving VOI for a hydrocarbon-bearing reservoir fluid model based on DFA data ('true fluid model') versus an 'incorrect fluid model' includes calculating first, second and third objective functions that are based on NPV(s) of simulated production by a reservoir simulator with different configurations. For the first objective function, the simulator is configured with the incorrect fluid model and control variables that are optimized to derive a first group of control variable values. For the second objective function, the simulator is configured with the true fluid model and the first group of control variable values. For the third objective function, the simulator is configured with the true fluid model and control variables that are optimized to identify a second group of control variable values. The objective functions can be deterministic, or can include statistics that account for uncertainty. A visualization of such results with uncertainty is also described.


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