Anisotropic full-waveform inversion with pore pressure constraints

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Abstract/Contents

Abstract
Anisotropy can arise as an intrinsic property of rocks (for example shales) and minerals (for example clay), but most commonly as an effective property of layered or fractured media. Anisotropy provides a better description of the subsurface and seismic wavefields. To include anisotropy in Full-Waveform Inversion (FWI), however, one needs to extend the search space and invert for not only a single velocity model but also anisotropic parameters that describe how velocity varies with direction. Sadly, there is often an ambiguity in determining whether a change in the seismic data recorded on the surface comes from a perturbation in velocity or anisotropic parameters in the subsurface. This means there may be a number of subsurface anisotropic models that, for a given objective function, t the observed data equally well. To address this uncertainty problem in anisotropic FWI, I constrain the inversion with bounds derived from a rock physics workflow that models the relationship between velocity and pore pressure. This workflow combines various sources of data such as well logs, drilling data, basin history, and shale diagenesis to build velocity templates which are consistent with our rock physics models and understanding of pore pressure behavior in the subsurface. In a 3D eld data application, enforcement of the derived constraints improves the final seismic image in terms of focusing and continuity of reflectors and better flattens the common image gathers we use to assess velocities. In addition, the resulting anisotropic velocity models are more physically plausible and better suited for subsequent exploration workflows such as pore pressure prediction and geo-hazard prevention.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2019; ©2019
Publication date 2019; 2019
Issuance monographic
Language English

Creators/Contributors

Author Lê, Huy Quang
Degree supervisor Biondi, Biondo, 1959-
Thesis advisor Biondi, Biondo, 1959-
Thesis advisor Levin, Stewart A
Thesis advisor Mukerji, Tapan, 1965-
Degree committee member Levin, Stewart A
Degree committee member Mukerji, Tapan, 1965-
Associated with Stanford University, Department of Geophysics.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Huy Quang Le.
Note Submitted to the Department of Geophysics.
Thesis Thesis Ph.D. Stanford University 2019.
Location electronic resource

Access conditions

Copyright
© 2019 by Huy Quang Le
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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