时间域精细速度建模的策略与试验
|
摘要
速度在地震勘探中十分重要,压制多次波、偏移成像和地震反演都需要准确的速度模型。为了高效和准确的获取速度模型,基于时间域精细速度建模方法,利用疑似含气区的二维多道地震资料,针对初始模型、层位约束和基于人工速度拾取的速度反演3个方面开展了试验,探讨实际资料中时间域精细速度建模方法的关键点和效果。试验表明:无需人工速度拾取,时间域精细速度建模能够实现浅地层速度的准确反演,进而高效地完成浅地层速度异常的识别;层位约束能提高速度建模的效率和精度;在地层结构复杂区域,人工速度拾取有利于时间域精细速度建模。
Velocity plays a critical role in seismic exploration,and accurate velocity model is an essential element for multiple removal,migration imaging and seismic inversion.In order to obtain an efficient and accurate velocity model,experiments were carried out for initial model,horizon constraint and manual velocity picking up using the two-dimensional seismic data from a suspected gas-bearing region.This paper discusses the key points and effects of non-linear tomograph for time imaging with practical data.Results show that,Without manual velocity picking,the non-linear tomograph in time domain can realize the accurate inversion of shallow formation velocity,furthermore,abnormal velocity in the shallow strata will be distinguished efficiently and accurately.Stratigraphic constraints can improve the efficiency and accuracy of velocity modeling.In the region with complex stratigraphic architecture,manual velocity picking is beneficial to the modeling of fine velocity in time domain.
Velocity plays a critical role in seismic exploration,and accurate velocity model is an essential element for multiple removal,migration imaging and seismic inversion.In order to obtain an efficient and accurate velocity model,experiments were carried out for initial model,horizon constraint and manual velocity picking up using the two-dimensional seismic data from a suspected gas-bearing region.This paper discusses the key points and effects of non-linear tomograph for time imaging with practical data.Results show that,Without manual velocity picking,the non-linear tomograph in time domain can realize the accurate inversion of shallow formation velocity,furthermore,abnormal velocity in the shallow strata will be distinguished efficiently and accurately.Stratigraphic constraints can improve the efficiency and accuracy of velocity modeling.In the region with complex stratigraphic architecture,manual velocity picking is beneficial to the modeling of fine velocity in time domain.
引文
[1]刘光鼎,张丽莉,祝靓谊.试论复杂地质体的油气地震勘探[J].地球物理学进展,2006,21(3):683-686.
[2] Jones I F.An introduction to:velocity model building[C]∥EAGE.2010.
[3]薛花,张宝金,文鹏飞.层析成像反演速度建模方法研究[J].CT理论与应用研究,2015,24(6):801-807.
[4]薛花,杜民,文鹏飞,等.网格层析速度反演方法在准三维西沙水合物中的应用[J].物探与化探,2017,41(5):846-851.
[5]张宇.从成像到反演:叠前深度偏移的理论、实践与发展[J].石油物探,2018,57(1):1-23.
[6] Adler F,Baina R,Soudani M A,et al.Non-linear 3Dtomographic least-square inversion of residual moveout in Kirchhoff prestack-depth-migration common-image gathers,Geophysics,2008,73(5):13-23.
[7] Lambaré G.Stereotomography[J].Geophysics,2008,73(5):25-34.
[8] Lambaré G,Touré J P,Moigne J L,et al.Velocity update for pre-stack time migration[C]∥Expanded abstract,SEG annual meeting.2006.
[9] Guillaume P,Lambaré G,Leblanc O,et al.Zimine Kinematic invariants:an efficient and flexible approach for velocity model building[C]∥78th annual SEG meeting,Las Vegas SEG workshop “Advanced velocity model building techniques for depth imaging”.2008.
[10] Lambaré G,Deladerrière N,Traonmilin Y,et al.Nonlinear Tomography for Time Imaging,Extended Abstracts[C]∥71st EAGE Conference&Exhibition-Workshops and Fieldtrips.2009.
[2] Jones I F.An introduction to:velocity model building[C]∥EAGE.2010.
[3]薛花,张宝金,文鹏飞.层析成像反演速度建模方法研究[J].CT理论与应用研究,2015,24(6):801-807.
[4]薛花,杜民,文鹏飞,等.网格层析速度反演方法在准三维西沙水合物中的应用[J].物探与化探,2017,41(5):846-851.
[5]张宇.从成像到反演:叠前深度偏移的理论、实践与发展[J].石油物探,2018,57(1):1-23.
[6] Adler F,Baina R,Soudani M A,et al.Non-linear 3Dtomographic least-square inversion of residual moveout in Kirchhoff prestack-depth-migration common-image gathers,Geophysics,2008,73(5):13-23.
[7] Lambaré G.Stereotomography[J].Geophysics,2008,73(5):25-34.
[8] Lambaré G,Touré J P,Moigne J L,et al.Velocity update for pre-stack time migration[C]∥Expanded abstract,SEG annual meeting.2006.
[9] Guillaume P,Lambaré G,Leblanc O,et al.Zimine Kinematic invariants:an efficient and flexible approach for velocity model building[C]∥78th annual SEG meeting,Las Vegas SEG workshop “Advanced velocity model building techniques for depth imaging”.2008.
[10] Lambaré G,Deladerrière N,Traonmilin Y,et al.Nonlinear Tomography for Time Imaging,Extended Abstracts[C]∥71st EAGE Conference&Exhibition-Workshops and Fieldtrips.2009.