Early-arrival waveform inversion for near-surface velocity estimation

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Abstract/Contents

Abstract
Early-arrival Waveform Inversion is a powerful tool for high-resolution near-surface velocity estimation. By matching observed diving waves and refractions with forward modeled diving waves and refractions, high-resolution near-surface models can be obtained. However, conventional waveform inversion requires accurate starting models and exact matching of data amplitude. Both of these requirements are difficult to meet in field data, especially land data applications. In addition, current industry implementations of waveform inversion encounter serious I/O bottlenecks in large 3D applications.This dissertation addresses these three problems associated with practical applications of waveform inversion. The constraint of accurate starting models is relaxed by applying wave-equation traveltime inversion before applying the waveform inversion. The requirement of exact data amplitude matching is relaxed by applying a new objective function that relies heavily on phase and waveform matching, while ignoring absolute amplitude. The I/O bottleneck associated with the current industry implementations is eliminated by using a low-frequency random boundary scheme. I demonstrate the effectiveness of the methodologies using synthetic and field data examples.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2014
Issuance monographic
Language English

Creators/Contributors

Associated with Shen, Xukai
Associated with Stanford University, Department of Geophysics.
Primary advisor Biondi, Biondo, 1959-
Thesis advisor Biondi, Biondo, 1959-
Thesis advisor Claerbout, Jon F
Thesis advisor Clapp, Robert G. (Robert Graham)
Thesis advisor Lawrence, Jesse
Advisor Claerbout, Jon F
Advisor Clapp, Robert G. (Robert Graham)
Advisor Lawrence, Jesse

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Xukai Shen.
Note Submitted to the Department of Geophysics.
Thesis Thesis (Ph.D.)--Stanford University, 2014.
Location electronic resource

Access conditions

Copyright
© 2014 by Xukai Shen
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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