The application of amplitude-preserved processing and migration for carbonate reservoir prediction in the Tarim Basin,China
Conventional seismic exploration method based on post-stack data usually fails to identify the distribution of fractured and caved carbonate reservoirs in the Tarim Basin,so the rich pre-stack information should be applied to the prediction of carbonate reservoirs.Amplitude-preserved seismic data pr...
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Published in | Petroleum science Vol. 8; no. 4; pp. 406 - 414 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Beijing
China University of Petroleum (Beijing)
01.12.2011
Laboratory for Integration of Geology & Geophysics, China University of Petroleum, Beijing 102249, China%Research Institute of Exploration & Development, PetroChina Tarim Oilfield Company, Korla 841000, China |
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Abstract | Conventional seismic exploration method based on post-stack data usually fails to identify the distribution of fractured and caved carbonate reservoirs in the Tarim Basin,so the rich pre-stack information should be applied to the prediction of carbonate reservoirs.Amplitude-preserved seismic data processing is the foundation.In this paper,according to the feature of desert seismic data (including weak reflection,fast attenuation of high frequency components,strong coherent noises,low S/N and resolution),a set of amplitude-preserved processing techniques is applied and a reasonable processing flow is formed to obtain the high quality data.After implementing a set of pre-stack amplitude-preserved processing,we test and define the kernel parameters of amplitude-preserved Kirchhoff PSTM (pre-stack time migration) and subsequent gathers processing,in order to obtain the amplitude-preserved gathers used to the isotropic pre-stack inversion for the identification of caved reservoirs.The AVO characteristics of obtained gathers fit well with the synthetic gathers from logging data,and it proves that the processing above is amplitudepreserved.The azimuthal processing techniques,including azimuth division and binning enlargement,are implemented for amplitude-preserved azimuthal gathers with the uniform fold.They can be used in the anisotropic inversion to detect effective fractures.The processing techniques and flows are applied to the field seismic data,and are proved available for providing the amplitude-preserved gathers for carbonate reservoir prediction in the Tarim Basin. |
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AbstractList | Conventional seismic exploration method based on post-stack data usually fails to identify the distribution of fractured and caved carbonate reservoirs in the Tarim Basin,so the rich pre-stack information should be applied to the prediction of carbonate reservoirs.Amplitude-preserved seismic data processing is the foundation.In this paper,according to the feature of desert seismic data (including weak reflection,fast attenuation of high frequency components,strong coherent noises,low S/N and resolution),a set of amplitude-preserved processing techniques is applied and a reasonable processing flow is formed to obtain the high quality data.After implementing a set of pre-stack amplitude-preserved processing,we test and define the kernel parameters of amplitude-preserved Kirchhoff PSTM (pre-stack time migration) and subsequent gathers processing,in order to obtain the amplitude-preserved gathers used to the isotropic pre-stack inversion for the identification of caved reservoirs.The AVO characteristics of obtained gathers fit well with the synthetic gathers from logging data,and it proves that the processing above is amplitudepreserved.The azimuthal processing techniques,including azimuth division and binning enlargement,are implemented for amplitude-preserved azimuthal gathers with the uniform fold.They can be used in the anisotropic inversion to detect effective fractures.The processing techniques and flows are applied to the field seismic data,and are proved available for providing the amplitude-preserved gathers for carbonate reservoir prediction in the Tarim Basin. P618.13; Conventional seismic exploration method based on post-stack data usually fails to identify the distribution of fractured and caved carbonate reservoirs in the Tarim Basin,so the rich pre-stack information should be applied to the prediction of carbonate reservoirs.Amplitude-preserved seismic data processing is the foundation.In this paper,according to the feature of desert seismic data (including weak reflection,fast attenuation of high frequency components,strong coherent noises,low S/N and resolution),a set of amplitude-preserved processing techniques is applied and a reasonable processing flow is formed to obtain the high quality data.After implementing a set of pre-stack amplitude-preserved processing,we test and define the kernel parameters of amplitude-preserved Kirchhoff PSTM (pre-stack time migration)and subsequent gathers processing,in order to obtain the amplitude-preserved gathers used to the isotropic pre-stack inversion for the identification of caved reservoirs.The AVO characteristics of obtained gathers fit well with the synthetic gathers from logging data,and it proves that the processing above is amplitudepreserved.The azimuthal processing techniques,including azimuth division and binning enlargement,are implemented for amplitude-preserved azimuthal gathers with the uniform fold.They can be used in the anisotropic inversion to detect effective fractures.The processing techniques and flows are applied to the field seismic data,and are proved available for providing the amplitude-preserved gathers for carbonate reservoir prediction in the Tarim Basin. Conventional seismic exploration method based on post-stack data usually fails to identify the distribution of fractured and caved carbonate reservoirs in the Tarim Basin, so the rich pre-stack information should be applied to the prediction of carbonate reservoirs. Amplitude-preserved seismic data processing is the foundation. In this paper, according to the feature of desert seismic data (including weak reflection, fast attenuation of high frequency components, strong coherent noises, low S/N and resolution), a set of amplitude-preserved processing techniques is applied and a reasonable processing flow is formed to obtain the high quality data. After implementing a set of pre-stack amplitude-preserved processing, we test and define the kernel parameters of amplitude-preserved Kirchhoff PSTM (pre-stack time migration) and subsequent gathers processing, in order to obtain the amplitude-preserved gathers used to the isotropic pre-stack inversion for the identification of caved reservoirs. The AVO characteristics of obtained gathers fit well with the synthetic gathers from logging data, and it proves that the processing above is amplitude-preserved. The azimuthal processing techniques, including azimuth division and binning enlargement, are implemented for amplitude-preserved azimuthal gathers with the uniform fold. They can be used in the anisotropic inversion to detect effective fractures. The processing techniques and flows are applied to the field seismic data, and are proved available for providing the amplitude-preserved gathers for carbonate reservoir prediction in the Tarim Basin. |
Author | Sam Zandong Sun Yang Haijun Zhang Yuanyin Han Jianfa WangDan Sun Wenbo Jiang Shan |
AuthorAffiliation | Laboratory for Integration of Geology & Geophysics, China University of Petroleum, Beijing 102249, China Research Institute of Exploration & Development, PetroChina Tarim Oilfield Company, Korla 841000, China |
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Cites_doi | 10.1111/j.1745-7254.2005.00017.x 10.1190/1.1503184 10.1190/1.1503192 10.1002/cjg2.237 10.1190/1.3002915 10.1190/1.1443495 |
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Copyright | China University of Petroleum (Beijing) and Springer-Verlag Berlin Heidelberg 2011 Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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Keywords | azimuth carbonate reservoir Amplitude-preserved processing amplitude-preserved pre-stack time migration Tarim Basin |
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Notes | Conventional seismic exploration method based on post-stack data usually fails to identify the distribution of fractured and caved carbonate reservoirs in the Tarim Basin,so the rich pre-stack information should be applied to the prediction of carbonate reservoirs.Amplitude-preserved seismic data processing is the foundation.In this paper,according to the feature of desert seismic data (including weak reflection,fast attenuation of high frequency components,strong coherent noises,low S/N and resolution),a set of amplitude-preserved processing techniques is applied and a reasonable processing flow is formed to obtain the high quality data.After implementing a set of pre-stack amplitude-preserved processing,we test and define the kernel parameters of amplitude-preserved Kirchhoff PSTM (pre-stack time migration) and subsequent gathers processing,in order to obtain the amplitude-preserved gathers used to the isotropic pre-stack inversion for the identification of caved reservoirs.The AVO characteristics of obtained gathers fit well with the synthetic gathers from logging data,and it proves that the processing above is amplitudepreserved.The azimuthal processing techniques,including azimuth division and binning enlargement,are implemented for amplitude-preserved azimuthal gathers with the uniform fold.They can be used in the anisotropic inversion to detect effective fractures.The processing techniques and flows are applied to the field seismic data,and are proved available for providing the amplitude-preserved gathers for carbonate reservoir prediction in the Tarim Basin. 11-4995/TE |
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Publisher | China University of Petroleum (Beijing) Laboratory for Integration of Geology & Geophysics, China University of Petroleum, Beijing 102249, China%Research Institute of Exploration & Development, PetroChina Tarim Oilfield Company, Korla 841000, China |
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References | Chen, Liu, Li (CR1) 2002; 45 Guo (CR3) 2009; 7 Zhang, Ma, Song (CR12) 2004; 39 Zhao, Wang, Wu (CR14) 2007; 29 Schleicher, Tygel, Hubral (CR6) 1993; 58 Zhang (CR13) 2006; 33 Tao, Wang, Lü (CR8) 2010; 45 Williams, Jenner (CR10) 2002; 21 Wu, Li, Zhang (CR11) 2005; 26 Li, Gao, Zhang (CR5) 2007 Sun (CR7) 2002; 25 Jenner (CR4) 2002; 21 Graham, William, Schneider (CR2) 1999; 18 Wang, Lü, Liu (CR9) 2008; 20 Zhou, Deng, Fan (CR15) 2008; 13 J. G. Sun (158_CR7) 2002; 25 Y. G. Tao (158_CR8) 2010; 45 G. S. Zhang (158_CR12) 2004; 39 G. H. Wu (158_CR11) 2005; 26 S. X. Guo (158_CR3) 2009; 7 J. Schleicher (158_CR6) 1993; 58 Z. D. Chen (158_CR1) 2002; 45 G. H. Li (158_CR5) 2007 M. Williams (158_CR10) 2002; 21 A. W. Graham (158_CR2) 1999; 18 J. G. Zhou (158_CR15) 2008; 13 Y. Zhang (158_CR13) 2006; 33 E. Jenner (158_CR4) 2002; 21 X. W. Wang (158_CR9) 2008; 20 Z. J. Zhao (158_CR14) 2007; 29 |
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Graham – volume: 7 start-page: 1 issue: 1 year: 2009 ident: 158_CR3 publication-title: Petroleum Geophysics contributor: fullname: S. X. Guo – volume: 25 start-page: 1 issue: 6 year: 2002 ident: 158_CR7 publication-title: Progress in Exploration Geophysics contributor: fullname: J. G. Sun |
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Title | The application of amplitude-preserved processing and migration for carbonate reservoir prediction in the Tarim Basin,China |
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