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一种加权抛物Radon变换地震波场重建方法
引用本文:石颖,柯璇,王维红.一种加权抛物Radon变换地震波场重建方法[J].物探与化探,2012(5):846-850.
作者姓名:石颖  柯璇  王维红
作者单位:东北石油大学地球科学学院;大庆油田博士后科研工作站;大庆油田有限责任公司勘探开发研究院
基金项目:国家自然科学基金青年基金(41004057、41104088);国家“863”高技术研究发展计划项目(2012AA061202);中国石油科技创新基金(2011D-5006-0304);中国博士后科学基金(2011M501009);黑龙江省教育厅科学技术研究项目(12511025)联合资助
摘    要:基于带限正反抛物Radon变换的基本原理和计算方法,笔者给出了一种加权抛物Radon变换(PRT)算法,该方法可应用于叠前地震波场恢复和重建,如缺失偏移距地震数据的插值外推和反假频重采样,其权系数完全由数据域来确定,也就是说在迭代计算过程中,该权系数也在变化。对于均匀采样的地震数据,笔者给出了近偏移距外推和波场的反假频重采样的计算结果,试算表明笔者给出的加权PRT方法可有效地应用于地震波场重建中,并具有算法稳健、计算精度高和效率高的特点。

关 键 词:加权抛物Radon变换  波场重建  权系数

A WAVEFIELD RECONSTRUCTION APPROACH BASED ON WEIGHTED PARABOLIC RADON TRANSFORM
SHI Ying,KE Xuan,WANG Wei-hong.A WAVEFIELD RECONSTRUCTION APPROACH BASED ON WEIGHTED PARABOLIC RADON TRANSFORM[J].Geophysical and Geochemical Exploration,2012(5):846-850.
Authors:SHI Ying  KE Xuan  WANG Wei-hong
Institution:1.School of Earth Sciences,Northeast Petroleum University,Daqing 163318,China;2.Postdoctor Workstation of Daqing Oilfield,Daqing 163453,China;3.Exploration and Development Research Institute of Daqing Oilfield Corp.Ltd.,Daqing 163712,China)
Abstract:A weighted parabolic Radon transform approach is proposed based on the basic principle and computation method of conventional band-limited forward and inverse parabolic radon transform.The proposed algorithm is applied to prestack seismic wavefield restoration and reconstruction,such as the missing offset interpolation and anti-alias resampling in the offset direction;The weight coefficient is determined by seismic data in x-τ domain,i.e.,the weight coefficient varies in different iteration processes.For the seismic data from uniform sampling,this paper gives the reconstruction result of missing near offset extrapolation and resampling for anti-alias seismic data.The test results demonstrate that the presented weighted parabolic radon transform is effective for seismic wavefield reconstruction,with the characteristics of robustness,high precision and high efficiency.
Keywords:weighted parabolic Radon transform  wavefield reconstruction  weight coefficient
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