Born Waveform Inversion in Shot Coordinate Domain

dc.contributor.advisorSymes, William Wen_US
dc.creatorHuang, Yinen_US
dc.date.accessioned2017-08-02T18:27:51Zen_US
dc.date.available2017-08-02T18:27:51Zen_US
dc.date.created2016-05en_US
dc.date.issued2016-03-11en_US
dc.date.submittedMay 2016en_US
dc.date.updated2017-08-02T18:27:51Zen_US
dc.description.abstractThe goal of this thesis is to integrate Born waveform inversion, variable projection algorithm and model extension concept to get a method that can improve the long scale background model updates reliably and efficiently from seismic data. Born waveform inversion is a partially linearized version of full waveform inversion based on Born (linearized) modeling, in which the earth model is separated into a smooth long scale background model and an oscillatory short scale reflectivity and both are updated to fit observed trace data. Because kinematic variables (background model) are updated, Born waveform inversion has the same feature as full waveform inversion: very sensitive to initial model when solved by gradient based optimization method (almost the only possible method because of the problem scale). Extended Born waveform inversion allows reflectivity to depend on additional parameters, potentially enlarging the convexity domain by enlarging the searching model space and permitting data fit throughout the inversion process and in turn reducing the sensitivity to initial model. Extended or not, the Born waveform inversion objective function is quadratic in the reflectivity, so that a nested optimization approach is available: minimize over reflectivity in an inner stage, then minimize the background-dependent result in a second, outer stage, which results in a reduced objective function of the background model only (VPE method). This thesis integrates the nested optimization approach into an inversion scheme and analyzes that the accuracy of the solution to the inner optimization is crucial for a robust outer optimization and both model extension and the nested optimization are necessary for a successful Born waveform inversion. And then we propose a flexibly preconditioned least squares migration scheme (FPCG) that significantly improves the convergence of iterative least squares migration and produces high resolution images with balanced amplitude. The proposed scheme also improves the efficiency of the solution to the inner stage of the nested optimization scheme and the accuracy of the gradient, and thus potentially improves the efficiency of the VPE method. However, a theoretical error estimate in the gradient computation of the VPE method is still hard to obtain, and we explain the reason and illustrate with numerical examples.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHuang, Yin. "Born Waveform Inversion in Shot Coordinate Domain." (2016) Diss., Rice University. <a href="https://hdl.handle.net/1911/96240">https://hdl.handle.net/1911/96240</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/96240en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectWaveform Inversionen_US
dc.subjectShot Coordinateen_US
dc.subjectVelocity Analysisen_US
dc.subjectLeast Squares Migrationen_US
dc.subjectModel Extensionen_US
dc.subjectFlexible Preconditioned Conjugate Gradienten_US
dc.titleBorn Waveform Inversion in Shot Coordinate Domainen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputational and Applied Mathematicsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
HUANG-DOCUMENT-2016.pdf
Size:
5.65 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
5.84 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
LICENSE.txt
Size:
2.6 KB
Format:
Plain Text
Description: