Poststack migration deconvolution

Jianxing Hu; Gerard T. Schuster; Paul A. Valasek

doi:10.1190/1.1444984

Poststack migration deconvolution

Jianxing Hu^*, Gerard T. Schuster, Paul A. Valasek

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

177 Scopus citations

Abstract

Reflectivity images of the earth are calculated by migrating discrete grids of seismic traces. Typically, such traces are spatially undersampled on a recording grid with limited aperture width and so give rise to migration noise sometimes referred to as the acquisition footprint. For poststack migration images, we show how to partly deconvolve the acquisition footprint by applying a deblurring filter to the migration section, where the filter is the approximate inverse to the migration Green's function. Results with synthetic and field data show that poststack migration deconvolution can noticeably improve the spatial resolution of migration images, decrease the strength of migration artifacts, and improve the quality of the migration image. We conclude that migration deconvolution can be a viable alternative to some of the other postmigration processing procedures based on statistics and ad hoc parameter choices.

Original language	English (US)
Pages (from-to)	939-952
Number of pages	14
Journal	Geophysics
Volume	66
Issue number	3
DOIs	https://doi.org/10.1190/1.1444984
State	Published - 2001
Externally published	Yes

Bibliographical note

Funding Information:
We greatly appreciate the valuable comments and suggestions from reviewer Gary F. Margrave, an anonymous reviewer, and associate editor P. Cary. We thank Bob Heaton for the sample-varying predictive and FXY deconvolution processing of the North Sea migration image. The authors sincerely thank Gary Hoover, Phillips Petroleum Company, and other UTAM (http://utam.gg.utah.edu) sponsors for financial support of this research, including Amoco, Arco, Amerada Hess, Baker-Atlas, Conoco, Chevron, Exxon, Marathon, Mobil, Noranda, INCO, Japan National Oil Co.. and RC2. We would like to extend our appreciation to Veritas Marine Surveys for allowing us to show the Gulf of Mexico data set. We would also like to thank the following companies for allowing us to present the North Sea data results: Agip (UK) Ltd., BG EP Ltd., Centrica plc., Conoco UK Ltd., Fina Exploration Ltd., and Phillips (UK) Ltd.

ASJC Scopus subject areas

Geochemistry and Petrology
Geophysics

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title = "Poststack migration deconvolution",

abstract = "Reflectivity images of the earth are calculated by migrating discrete grids of seismic traces. Typically, such traces are spatially undersampled on a recording grid with limited aperture width and so give rise to migration noise sometimes referred to as the acquisition footprint. For poststack migration images, we show how to partly deconvolve the acquisition footprint by applying a deblurring filter to the migration section, where the filter is the approximate inverse to the migration Green's function. Results with synthetic and field data show that poststack migration deconvolution can noticeably improve the spatial resolution of migration images, decrease the strength of migration artifacts, and improve the quality of the migration image. We conclude that migration deconvolution can be a viable alternative to some of the other postmigration processing procedures based on statistics and ad hoc parameter choices.",

author = "Jianxing Hu and Schuster, {Gerard T.} and Valasek, {Paul A.}",

note = "Funding Information: We greatly appreciate the valuable comments and suggestions from reviewer Gary F. Margrave, an anonymous reviewer, and associate editor P. Cary. We thank Bob Heaton for the sample-varying predictive and FXY deconvolution processing of the North Sea migration image. The authors sincerely thank Gary Hoover, Phillips Petroleum Company, and other UTAM (http://utam.gg.utah.edu) sponsors for financial support of this research, including Amoco, Arco, Amerada Hess, Baker-Atlas, Conoco, Chevron, Exxon, Marathon, Mobil, Noranda, INCO, Japan National Oil Co.. and RC2. We would like to extend our appreciation to Veritas Marine Surveys for allowing us to show the Gulf of Mexico data set. We would also like to thank the following companies for allowing us to present the North Sea data results: Agip (UK) Ltd., BG EP Ltd., Centrica plc., Conoco UK Ltd., Fina Exploration Ltd., and Phillips (UK) Ltd.",

year = "2001",

doi = "10.1190/1.1444984",

language = "English (US)",

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AU - Hu, Jianxing

AU - Schuster, Gerard T.

AU - Valasek, Paul A.

N1 - Funding Information: We greatly appreciate the valuable comments and suggestions from reviewer Gary F. Margrave, an anonymous reviewer, and associate editor P. Cary. We thank Bob Heaton for the sample-varying predictive and FXY deconvolution processing of the North Sea migration image. The authors sincerely thank Gary Hoover, Phillips Petroleum Company, and other UTAM (http://utam.gg.utah.edu) sponsors for financial support of this research, including Amoco, Arco, Amerada Hess, Baker-Atlas, Conoco, Chevron, Exxon, Marathon, Mobil, Noranda, INCO, Japan National Oil Co.. and RC2. We would like to extend our appreciation to Veritas Marine Surveys for allowing us to show the Gulf of Mexico data set. We would also like to thank the following companies for allowing us to present the North Sea data results: Agip (UK) Ltd., BG EP Ltd., Centrica plc., Conoco UK Ltd., Fina Exploration Ltd., and Phillips (UK) Ltd.

PY - 2001

Y1 - 2001

N2 - Reflectivity images of the earth are calculated by migrating discrete grids of seismic traces. Typically, such traces are spatially undersampled on a recording grid with limited aperture width and so give rise to migration noise sometimes referred to as the acquisition footprint. For poststack migration images, we show how to partly deconvolve the acquisition footprint by applying a deblurring filter to the migration section, where the filter is the approximate inverse to the migration Green's function. Results with synthetic and field data show that poststack migration deconvolution can noticeably improve the spatial resolution of migration images, decrease the strength of migration artifacts, and improve the quality of the migration image. We conclude that migration deconvolution can be a viable alternative to some of the other postmigration processing procedures based on statistics and ad hoc parameter choices.

AB - Reflectivity images of the earth are calculated by migrating discrete grids of seismic traces. Typically, such traces are spatially undersampled on a recording grid with limited aperture width and so give rise to migration noise sometimes referred to as the acquisition footprint. For poststack migration images, we show how to partly deconvolve the acquisition footprint by applying a deblurring filter to the migration section, where the filter is the approximate inverse to the migration Green's function. Results with synthetic and field data show that poststack migration deconvolution can noticeably improve the spatial resolution of migration images, decrease the strength of migration artifacts, and improve the quality of the migration image. We conclude that migration deconvolution can be a viable alternative to some of the other postmigration processing procedures based on statistics and ad hoc parameter choices.

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Poststack migration deconvolution

Abstract

Bibliographical note

ASJC Scopus subject areas

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