3D Diffraction Imaging of Linear Features and its Application to Seismic Monitoring

Many subsurface features, such as faults, fractures, cracks, or fluid content terminations are defined by geological discontinuities. Seismic response from such features is encoded in diffractions. We develop an algorithm for imaging such discontinuities by detecting edge diffractions. The algorithm...

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Main Authors: Alonaizi, Faisal Abdulkader, Pevzner, Roman, Bona, Andrej, Gurevich, Boris
Other Authors: EAGE
Format: Conference Paper
Published: EAGE 2013
Online Access:http://hdl.handle.net/20.500.11937/44529
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author Alonaizi, Faisal Abdulkader
Pevzner, Roman
Bona, Andrej
Gurevich, Boris
author2 EAGE
author_facet EAGE
Alonaizi, Faisal Abdulkader
Pevzner, Roman
Bona, Andrej
Gurevich, Boris
author_sort Alonaizi, Faisal Abdulkader
building Curtin Institutional Repository
collection Online Access
description Many subsurface features, such as faults, fractures, cracks, or fluid content terminations are defined by geological discontinuities. Seismic response from such features is encoded in diffractions. We develop an algorithm for imaging such discontinuities by detecting edge diffractions. The algorithm exploits phase-reversal phenomena of edge diffractions, and uses them as a criterion to separate diffractions from specular reflections. The performance of the method has been demonstrated on both synthetic and real 3D seismic data. The output image focuses the diffracted energy back to its origin, and shows high semblance values at the edge of the object. The method is applied on conventionally stacked data producing an image contains only diffraction events called (D-volume). We also reveal the potential of diffractions to image and track the changes of the CO2 plume using time-lapse analysis and detect any possible CO2 seepage from its primary containment.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T09:21:34Z
publishDate 2013
publisher EAGE
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spelling curtin-20.500.11937-445292017-09-13T14:13:03Z 3D Diffraction Imaging of Linear Features and its Application to Seismic Monitoring Alonaizi, Faisal Abdulkader Pevzner, Roman Bona, Andrej Gurevich, Boris EAGE Many subsurface features, such as faults, fractures, cracks, or fluid content terminations are defined by geological discontinuities. Seismic response from such features is encoded in diffractions. We develop an algorithm for imaging such discontinuities by detecting edge diffractions. The algorithm exploits phase-reversal phenomena of edge diffractions, and uses them as a criterion to separate diffractions from specular reflections. The performance of the method has been demonstrated on both synthetic and real 3D seismic data. The output image focuses the diffracted energy back to its origin, and shows high semblance values at the edge of the object. The method is applied on conventionally stacked data producing an image contains only diffraction events called (D-volume). We also reveal the potential of diffractions to image and track the changes of the CO2 plume using time-lapse analysis and detect any possible CO2 seepage from its primary containment. 2013 Conference Paper http://hdl.handle.net/20.500.11937/44529 10.3997/2214-4609.20130703 EAGE restricted
spellingShingle Alonaizi, Faisal Abdulkader
Pevzner, Roman
Bona, Andrej
Gurevich, Boris
3D Diffraction Imaging of Linear Features and its Application to Seismic Monitoring
title 3D Diffraction Imaging of Linear Features and its Application to Seismic Monitoring
title_full 3D Diffraction Imaging of Linear Features and its Application to Seismic Monitoring
title_fullStr 3D Diffraction Imaging of Linear Features and its Application to Seismic Monitoring
title_full_unstemmed 3D Diffraction Imaging of Linear Features and its Application to Seismic Monitoring
title_short 3D Diffraction Imaging of Linear Features and its Application to Seismic Monitoring
title_sort 3d diffraction imaging of linear features and its application to seismic monitoring
url http://hdl.handle.net/20.500.11937/44529