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. 05, 2022

Filed:

Feb. 14, 2019
Applicants:

Mehdi Aharchaou, The Woodlands, TX (US);

Erik R. Neumann, Houston, TX (US);

Inventors:

Mehdi Aharchaou, The Woodlands, TX (US);

Erik R. Neumann, Houston, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/36 (2006.01); G01V 99/00 (2009.01);
U.S. Cl.
CPC ...
G01V 1/362 (2013.01); G01V 1/368 (2013.01); G01V 99/005 (2013.01); G01V 2210/512 (2013.01); G01V 2210/56 (2013.01);
Abstract

A method for directional Q compensation of seismic data may comprise calculating angle-dependent subsurface travel times; applying directional Q compensation to the prestack seismic data to obtain Q-compensated data in time-space domain, wherein the directional Q compensation is based on the angle-dependent subsurface travel times; and using the Q-compensated data to generate an image of the subsurface. Directional Q compensation may comprise determining an angle-dependent forward E operator and an angle-dependent adjoint E* operator using the angle-dependent subsurface travel times; and applying a sparse inversion algorithm using the angle-dependent operators to obtain a model of Q-compensated data. The angle-dependent operators may be preconditioned by introducing ghost and source effects in a wavelet matrix and a transpose of the wavelet matrix, respectively, such that applying a sparse inversion algorithm using the preconditioned angle-dependent operators is used to obtain a model of Q-compensated, deghosted data without source effects.


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