Seismic rotational data : acquisition, processing and applications
Abstract/Contents
- Abstract
- Ground rotations as a result of seismic energy propagation are one of the least studied phenomena in seismology, despite the fact that medium rotations are inherent to elastic continuum theory, and have been known to exist for as long as seismic measurements have been made. However, the industry acquisition standard is to measure three components of translation on land, pressure in water, or both translations and pressure on the ocean bottom. There is no industry standard sensor that records seismic rotations. In this thesis I show how to add rotational data to the traditional seismic processing workflow. I conduct a field survey to show that rotations can be recorded using magnetometers. I combine translational and rotational land data and show that the integrated data can be used to separate wave modes, and thus attenuate strong surface wave modes that obscure reflection data. I also use a machine learning algorithm to automatically identify particular wave modes in combined translational and rotational data, and show that the rotations provide added features to the data which facilitate wavemode determination.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Barak, Ohad |
|---|---|
| Associated with | Stanford University, Department of Geophysics. |
| Primary advisor | Biondi, Biondo, 1959- |
| Thesis advisor | Biondi, Biondo, 1959- |
| Thesis advisor | Mavko, Gary, 1949- |
| Thesis advisor | Ronen, Joshua |
| Advisor | Mavko, Gary, 1949- |
| Advisor | Ronen, Joshua |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Ohad Barak. |
|---|---|
| Note | Submitted to the Department of Geophysics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Ohad Barak
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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