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3D seismic inversion by model parameterization with Fourier coefficients
File | Description | Size | Format | |
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3D_Seismic_Inversion_by_Model_Parameterization_with_Fourier_Coefficients.pdf | Accepted version | 2.53 MB | Adobe PDF | View/Open |
Title: | 3D seismic inversion by model parameterization with Fourier coefficients |
Authors: | Gao, F Rao, Y Zhu, T Wang, Y |
Item Type: | Journal Article |
Abstract: | In seismic inversion, the subsurface model can be parameterized by a truncated Fourier series, and the inversion problem is then the inversion of the Fourier coefficients. To improve the efficiency of the evaluation of the Fourier coefficients and the reconstruction of the model from the inverted coefficients, we propose to use the efficient implementation of the fast Fourier transform (FFT) to speed up these two calculations. By using the FFT pair, the computation time for 3D subsurface models with realistic size could be reduced by two to three orders of magnitude compared to conventional methods. When this model parameterization scheme is applied to seismic impedance inversion, we proposed two strategies to further improve the efficiency. One is to invert the Fourier coefficients from small-valued numbers to large-valued numbers, and the other is to divide the seismic data into subgroups and use part of them for the inversion of the Fourier coefficients. Both strategies are helpful for efficient inversion of the Fourier coefficients from the seismic data. Moreover, thanks to this model parameterization scheme, the Fourier coefficients are inverted in a multi-trace manner, and the impedance model reconstructed from the inverted Fourier coefficients has good spatial continuity. The scheme is able to generate stable and continuous impedance models from the inversion of seismic data with missing traces, with affordable computation times. |
Issue Date: | 19-Apr-2023 |
Date of Acceptance: | 16-Apr-2023 |
URI: | http://hdl.handle.net/10044/1/107237 |
DOI: | 10.1109/TGRS.2023.3268410 |
ISSN: | 0196-2892 |
Publisher: | Institute of Electrical and Electronics Engineers |
Start Page: | 1 |
End Page: | 16 |
Journal / Book Title: | IEEE Transactions on Geoscience and Remote Sensing |
Volume: | 61 |
Copyright Statement: | Copyright © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Science & Technology Physical Sciences Technology Geochemistry & Geophysics Engineering, Electrical & Electronic Remote Sensing Imaging Science & Photographic Technology Engineering Computational modeling Three-dimensional displays Solid modeling Fourier series Impedance Fourier transforms Data models Fourier transform model parameterization seismic inversion TOMOGRAPHIC INVERSION AMPLITUDE DATA GEOMETRY 0404 Geophysics 0906 Electrical and Electronic Engineering 0909 Geomatic Engineering Geological & Geomatics Engineering |
Publication Status: | Published |
Article Number: | 5908916 |
Online Publication Date: | 2023-04-19 |
Appears in Collections: | Earth Science and Engineering |