SRME多次波衰减方法在海洋地震资料中的应用
|
摘要
多次波问题一直是海洋地震资料处理中的难题,基于波动方程的多次波压制方法SRME是近20年来发展起来的一种有效的多次波衰减方法.该方法的特点是基于波动理论,利用地震数据本身来预测多次波,而不需要地下介质的任何信息,即这种方法可以应对地下任何复杂的情况,因此应用范围较广.本文通过SRME方法在海洋地震资料LH油田的应用实例证明了该方法的有效性——SRME多次波衰减方法对海底有关的多次波的衰减非常有效,特别是对近道多次波模拟准确,未损伤有效波,一定程度上提高了地震数据的分辨率.
For the exploration of oil and gas reservoirs,multiples can be one of the main problems in applying the seismic method,especially in a marine enviroment.To solve this problem,a method named "SRME" has been developed over the last two decades and is currently applied to many seismic datasets with large success.It can be used in a prestack mode(common-midpoint gathers).The algorithm for the multiple attenuation is based on wave theoretical principles in which the data are used as a prediction operator.The estimated multiples are then adaptively substracted from the input data to obtain primary-only data.Its aim is to regularize the data,improve S/N ratio,and balance the seismic amplitudes.The effectiveness of this method in suppressing multiples is demonstrated by a case involving processing marine seismic data in this paper.It indicates that SRME can attenuate multiples related with sea floor.
For the exploration of oil and gas reservoirs,multiples can be one of the main problems in applying the seismic method,especially in a marine enviroment.To solve this problem,a method named "SRME" has been developed over the last two decades and is currently applied to many seismic datasets with large success.It can be used in a prestack mode(common-midpoint gathers).The algorithm for the multiple attenuation is based on wave theoretical principles in which the data are used as a prediction operator.The estimated multiples are then adaptively substracted from the input data to obtain primary-only data.Its aim is to regularize the data,improve S/N ratio,and balance the seismic amplitudes.The effectiveness of this method in suppressing multiples is demonstrated by a case involving processing marine seismic data in this paper.It indicates that SRME can attenuate multiples related with sea floor.
引文
[1] 朱广生,陈传仁.勘探地震学教程[M].武汉:武汉大学出版社, 2005,129～130． Zhu G S,Chen C R.Tutorials of exploration seismology[M].Wuhan:Wuhan University Press,2005,129～130．
[2] Larner K L.Optimum Weight Averaging of Seismic Data[R].Western Geophysical Company,1975．
[3] Zhou B.Wave-equation Extrapolation-based Multiple Attenuation: 2D filter in the F-K domain [J].Geophysics,1994,59(9) :1377～1931．
[4] Arthur B W.Multiple attenuation: an overview of recent advances and the road ahead 1999 [J].The Leading Edge,1999,18(1) :40～44．
[5] Van Borselen R G.3D surface-related multiple elimination:acquisition and processing solutions [J].The Leading Edge,2005,24(3) :260～268．
[6] Verschuur D J.Surface-related multiple removal in seismic data by a data-driven methodology[OL].Recent developments in Seismic Exploration .http://www.uam2009． gr/lectures/pdf/2-5． pdf,2009．
[7] Verschuur D J,Berkhout A J.Adaptive surface-related multipleelimination[J].Geophysics,1992,57 (9) :1166～1177．
[8] Berkhout A J,Verschuur D J.Estimation of multiple scattering by iterative inversion,Part Ⅰ: Theoretical considerations[J].Geophysics,1997,62 (5) : 1586 ～ 1595．
[9] Verschuur D J,Berkhout A J.Estimation of multiple scattering by iterative inversion,Part Ⅱ: Practical aspects and examples[J].Geophysics,1997,62 (5) : 1596 ～ 1611．
[10] 吴迪,杨长春.数据驱动型多次波衰减方法的研究[J].地球物理学进展,2008,23(1) :98～103． WU Di,YANG Chang-chun.Research on a fully-data driven multiple attenuation approach[J].Progress in Geophysics,2008,23(1) :98～103．
[11] Verschuur D J,Prein R G.Multiple removal results from Delft University[J].The Leading Edge,1999,3:86～91．
[12] Panos G K,Verschuur D J.Surface related multiple elimination on land seismic data Strategies via case studies [J].Geophysics,2000,65(3) :719～734．
[2] Larner K L.Optimum Weight Averaging of Seismic Data[R].Western Geophysical Company,1975．
[3] Zhou B.Wave-equation Extrapolation-based Multiple Attenuation: 2D filter in the F-K domain [J].Geophysics,1994,59(9) :1377～1931．
[4] Arthur B W.Multiple attenuation: an overview of recent advances and the road ahead 1999 [J].The Leading Edge,1999,18(1) :40～44．
[5] Van Borselen R G.3D surface-related multiple elimination:acquisition and processing solutions [J].The Leading Edge,2005,24(3) :260～268．
[6] Verschuur D J.Surface-related multiple removal in seismic data by a data-driven methodology[OL].Recent developments in Seismic Exploration .http://www.uam2009． gr/lectures/pdf/2-5． pdf,2009．
[7] Verschuur D J,Berkhout A J.Adaptive surface-related multipleelimination[J].Geophysics,1992,57 (9) :1166～1177．
[8] Berkhout A J,Verschuur D J.Estimation of multiple scattering by iterative inversion,Part Ⅰ: Theoretical considerations[J].Geophysics,1997,62 (5) : 1586 ～ 1595．
[9] Verschuur D J,Berkhout A J.Estimation of multiple scattering by iterative inversion,Part Ⅱ: Practical aspects and examples[J].Geophysics,1997,62 (5) : 1596 ～ 1611．
[10] 吴迪,杨长春.数据驱动型多次波衰减方法的研究[J].地球物理学进展,2008,23(1) :98～103． WU Di,YANG Chang-chun.Research on a fully-data driven multiple attenuation approach[J].Progress in Geophysics,2008,23(1) :98～103．
[11] Verschuur D J,Prein R G.Multiple removal results from Delft University[J].The Leading Edge,1999,3:86～91．
[12] Panos G K,Verschuur D J.Surface related multiple elimination on land seismic data Strategies via case studies [J].Geophysics,2000,65(3) :719～734．
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心