Comparison of methods for modeling phase variation with angle

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Comparison of methods for modeling phase variation with angle

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Title: Comparison of methods for modeling phase variation with angle
Author(s):
Zhu, Xinfa;
McMechan, George
Date Created: 2011
Copyright Date: 2011
Format: Text
Item Type: Paper
Presentation
Keywords: Phase variation with angle
Wavelets (Mathematics)
Modeling and simulation in science, engineering & technology
Description: This paper was ranked among the top 31 papers presented at the 2011 annual meeting of the Society of Exploration Geophysicists.
Abstract: In another paper (Zhu and McMechan, 2011, hereinafter paper I), we show that least squares phase variation with angle (PVA) is capable of being reliably inverted for elastic parameters. A requirement for convergence to the correct solutions is consistency of the forward modeling methods for the synthetic observed data, and the predicted data. This indicates we have to look for a modeling method which can handle realistic geologic structures and produce synthetic (predicted) PVA as close as possible to the field (observed) PVA. This paper is a first step toward this goal. Three methods of measuring phase of a local wavelet are proposed and tested. Three kinds of methods for PVA modeling are discussed, including reflected spherical wave (RSW), reflectivity, and high-order finite difference (FD). Full-wave methods (reflectivity and FD) are preferred over the RSW. For laterally inhomogeneous structures, the differential solution (FD) is preferred over the integral solutions (RSW and reflecivity).
Language: English
Source: SEG Expanded Abstracts
Persistent Link: http://hdl.handle.net/10735.1/2192
Bibliographic Citation: Zhu, Xinfa and George McMechan. "Comparison of methods for modeling phase variation with angle." SEG Expanded Abstracts 30 (2011): 3053-3058, doi:10.1190/1.3627829.
Terms of Use: © 2011, Society of Exploration Geophysicists

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NSM-SR-ZHU-20120713.pdf 398.7Kb PDF View/Open Accepted author's manuscript
NSM-Sr-ZHU-20120714.pdf 468.2Kb PDF View/Open Poster presentation
NSM-SR-ZHU-20120714-UT Dallas News.pdf 180.3Kb PDF View/Open UT Dallas News article about author

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