Interpreter-driven automatic image segmentation and model evaluation

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Abstract/Contents

Abstract
This dissertation addresses a major bottleneck in iterative seismic imaging projects: interpretation and modeling of large, subsurface salt bodies. These salt structures are ubiquitous in many of the world's most active areas for seismic exploration, and are extremely time-consuming and difficult to interpret -- a process that is conventionally undertaken manually, with little automation. In this thesis, I propose two tools that can help interpreters increase the degree of automation in the salt interpretation workflow, while allowing them to maintain control of the process through expert guidance and scenario testing. The first of these tools is an interpreter-guided, graph-based image segmentation algorithm. This method allows interpreters to provide limited salt boundary interpretations on one more 2D sections of a 3D seismic image; the manual picks are then incorporated into the automatic 3D segmentation process. The second tool is an efficient, wavefield-based scheme to evaluate several potential velocity models. This method synthesizes source and receiver wavefields from an initial image; these wavefields can then be imaged very quickly using velocity models based on different salt interpretation scenarios. Finally, I use a 3D example from the Gulf of Mexico to demonstrate how these tools can be integrated in a streamlined salt interpretation workflow. After using image segmentation to generate velocity models, the model evaluation scheme identifies one superior to the one used to create the initial image. A subsequent full migration with the new velocity model produces an image with improved clarity and continuity of subsalt reflectors.

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 Halpert, Adam D
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 Mavko, Gary, 1949-
Advisor Claerbout, Jon F
Advisor Clapp, Robert G. (Robert Graham)
Advisor Mavko, Gary, 1949-

Subjects

Genre Theses

Bibliographic information

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

Access conditions

Copyright
© 2014 by Adam Dean Halpert
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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