2012•Zhongguo Shiyou Daxue xuebao. Ziran kexue banRequires access

Prestack seismic data enhancement with common-offset common-reflection-surface stack

Sun Xiao-dong

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Abstract

A partial common-offset common-reflection-surface(CO CRS) stacking method was developed to enhance the quality of sparse low fold prestack seismic data.A multi-parameter CO CRS traveltime formula was applied to compute partial stacked CRS supergathers,and the data were regularized by filling the gaps in cases of missing traces compared with original CMP gathers.These improved prestack data which can be used in many conventional processing steps including velocity analysis or prestack migration instead of the original data.The model test and practical data processing results show that compared with the image section obtained from the original seismic data,the image section by the application of migration with the prestack data obtained through partial CO CRS stack improves not only the signal-to-noise ratio but also the continuity of reflection event,which has better imaging results.

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What this paper is about

A partial common-offset common-reflection-surface(CO CRS) stacking method was developed to enhance the quality of sparse low fold prestack seismic data.A multi-parameter CO CRS traveltime formula was applied to compute partial stacked CRS supergathers,and the data were regularized by filling the gaps in cases of missing traces compared with original CMP gathers.These improved prestack data which can be used in many conventional processing steps including velocity analysis or prestack migration instead of the original data.The model test and practical data processing results show that compared with the image section obtained from the original seismic data,the image section by the application of migration with the prestack data obtained through partial CO CRS stack improves not only the signal-to-noise ratio but also the continuity of reflection event,which has better imaging results.

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Available abstract

A partial common-offset common-reflection-surface(CO CRS) stacking method was developed to enhance the quality of sparse low fold prestack seismic data.A multi-parameter CO CRS traveltime formula was applied to compute partial stacked CRS supergathers,and the data were regularized by filling the gaps in cases of missing traces compared with original CMP gathers.These improved prestack data which can be used in many conventional processing steps including velocity analysis or prestack migration instead of the original data.The model test and practical data processing results show that compared with the image section obtained from the original seismic data,the image section by the application of migration with the prestack data obtained through partial CO CRS stack improves not only the signal-to-noise ratio but also the continuity of reflection event,which has better imaging results.

Key concepts: Prestack, Offset (computer science), Stacking, Geology, Stack (abstract data type), Data processing, Reflection (computer programming), Seismology

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