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:
Aug. 13, 2019

Filed:

Oct. 25, 2016
Applicant:

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

Inventors:

Mitsuko Kitazawa, Sagamihara, JP;

Henri-Pierre Valero, Clamart, FR;

Takeshi Endo, Sagamihara, JP;

John Adam Donald, Abu Dhabi, AE;

Erik Wielemaker, The Hague, NL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/50 (2006.01); G01V 1/28 (2006.01); G01V 1/30 (2006.01);
U.S. Cl.
CPC ...
G01V 1/50 (2013.01); G01V 1/282 (2013.01); G01V 1/303 (2013.01); G01V 1/284 (2013.01); G01V 2210/614 (2013.01); G01V 2210/622 (2013.01); G01V 2210/626 (2013.01); G01V 2210/66 (2013.01);
Abstract

A method for estimating formation slowness is provided. The method comprises forward modeling to compute formation slownesses based on a first method for orthorhombic media using stress magnitudes and third-order elastic constants as inputs, and forward modeling to determine formation slownesses analytically based on a second method using stress magnitudes, stress azimuth and third-order elastic constants as inputs. The first method may be based on Tsvankin method and the second method may be based on Christoffel method. The forward modeling may further use well configuration and reference moduli as inputs, and the results from the forward modeling may include formation slownesses, and at least one of vertical slownesses, anisotropic parameters, anellipticity indicators and fast shear azimuth. The method may further comprise assessing quality of the forward modeling based on results output from the forward modeling.


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