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:
Jan. 10, 2023

Filed:

Oct. 25, 2016
Applicant:

Halliburton Energy Services, Inc., Houston, TX (US);

Inventors:

Ruijia Wang, Singapore, SG;

Chung Chang, Houston, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/50 (2006.01); G06F 30/20 (2020.01); E21B 49/00 (2006.01);
U.S. Cl.
CPC ...
G01V 1/50 (2013.01); E21B 49/00 (2013.01); G06F 30/20 (2020.01); E21B 2200/20 (2020.05); G01V 2200/16 (2013.01); G01V 2210/1299 (2013.01); G01V 2210/1429 (2013.01); G01V 2210/47 (2013.01); G01V 2210/612 (2013.01); G01V 2210/6222 (2013.01);
Abstract

An apparatus, method, and system for determining body wave slowness from guided borehole waves. The method includes selecting a target axial resolution based on the size of a receiver array, obtaining a plurality of waveform data sets corresponding to a target formation zone and each acquired at a different shot position, computing a slowness-frequency 2D dispersion semblance map for each waveform data set, stacking the slowness-frequency 2D dispersion semblance maps to generate a stacked 2D semblance map, and determining a body wave slowness from the extracted dispersion curve. The method may also include generating a self-adaptive weighting function based on a dispersion model and the extracted dispersion curve, fitting the weighted dispersion curve and the dispersion model to determine a body wave slowness that minimizes the misfit between the weighted dispersion curve and the dispersion model. The method can be applied to both frequency-domain and time-domain processing.


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