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:
Sep. 27, 2016

Filed:

Mar. 09, 2012
Applicants:

Jan Schmedes, Bellaire, TX (US);

Christopher J. Dicaprio, Houston, TX (US);

Charlie Jing, Houston, TX (US);

Garrett M. Leahy, Kerrville, TX (US);

Anoop A. Mullur, Houston, TX (US);

Rebecca L. Saltzer, Houston, TX (US);

Inventors:

Jan Schmedes, Bellaire, TX (US);

Christopher J. DiCaprio, Houston, TX (US);

Charlie Jing, Houston, TX (US);

Garrett M. Leahy, Kerrville, TX (US);

Anoop A. Mullur, Houston, TX (US);

Rebecca L. Saltzer, Houston, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/28 (2006.01); G01V 3/38 (2006.01); G01V 11/00 (2006.01);
U.S. Cl.
CPC ...
G01V 1/282 (2013.01); G01V 3/38 (2013.01); G01V 11/00 (2013.01);
Abstract

Method for joint inversion of geophysical data to obtain 3-D models of geological parameters for subsurface regions of unknown lithology. Two or more data sets of independent geophysical data types are obtained, e.g. seismic and electromagnetic. Then they are jointly inverted, using structural coupling, to infer geophysical parameter volumes, e.g. acoustic velocity and resistivity. Regions of common lithology are next identified based on similar combinations of geophysical parameters. Then a joint inversion of the multiple data types is performed in which rock physics relations vary spatially in accordance with the now-known lithology, and 3-D models of geological properties such as shale content and fracture density are inferred. The computational grid for the last inversion may be defined by the lithology regions, resulting in average geological properties over such regions, which may then be perturbed to determine uncertainty in lithologic boundaries.


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