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. 20, 2019

Filed:

Jul. 13, 2015
Applicants:

Partha S. Routh, Katy, TX (US);

Nathan Downey, Houston, TX (US);

Christine E. Krohn, Houston, TX (US);

Inventors:

Partha S. Routh, Katy, TX (US);

Nathan Downey, Houston, TX (US);

Christine E. Krohn, Houston, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/00 (2006.01); G01V 1/28 (2006.01); G01V 1/38 (2006.01); G06F 17/17 (2006.01); G06F 17/50 (2006.01);
U.S. Cl.
CPC ...
G01V 1/282 (2013.01); G01V 1/003 (2013.01); G01V 1/3808 (2013.01); G01V 1/00 (2013.01); G01V 2200/14 (2013.01); G01V 2210/614 (2013.01); G01V 2210/667 (2013.01); G01V 2210/67 (2013.01); G01V 2210/679 (2013.01); G06F 17/17 (2013.01); G06F 17/5009 (2013.01); G06T 2207/20064 (2013.01);
Abstract

Method for selecting an acquisition geometry for a seismic survey based on ability to resolve an a priori velocity model. Two or more candidate acquisition geometries are selected (), differing in areal coverage and cost to perform. Then compute a synthetic seismic dataset for each geometry using a detailed geometrical reference model of the subsurface (). Invert the synthetic seismic datasets preferably using simultaneous source FWI, and preferably with Volume of Investigation constraints, to determine model updates (). Quantitatively assess the value of the additional traces in a fuller dataset relative to a subset (), using one or more statistics based on the accuracy of the updated models, such as improved match to the reference model, better fit of seismic data, or rate of change in improvement with iterations. Inversions may be cascaded for further efficiency ().


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