Spectrum shaping of desired targets based on broadband Ricker wavelets
ZHAO Baoyin1, CHEN Siyuan2, TAO Yu2, XU Jing2, WANG Hao2
1. PetroChina Jidong Oilfield Company, Tangshan, Hebei 063004, China; 2. CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum(Beijing), Beijing 102249, China
Abstract：Spectrum whitening based on seismic wavelet shaping is a common method for high-resolution post-stack seismic processing,and the desired wavelet shape has always been a much hotter topic.Compared with band-limited wavelet,Ricker wavelet and other commonly used shaping wavelets,broadband Ricker wavelet is widely used in seismic data processing on account of its weaker sidelobe energy and higher resolution at the same main lobe width than Ricker wavelet.By designing the parameter(R) that takes into account resolution and fidelity and searching for the extreme point,the optimal shape of the broadband Ricker wavelet with a limited bandwidth is determined,and then a ba-lanced wavelet based on broadband Ricker wavelet is proposed to guide wavelet shaping of post-stack data.Model and field data have proved that the balanced wavelet provides a new reference to seismic processing with high resolution and high fidelity.
王进海,朱敏.高分辨率资料处理与高信噪比资料[J].石油地球物理勘探,1996,31(4):587-596.WANG Jinhai,ZHU Min.High-resolution data processing and high signal/noise ratio data[J].Oil Geophysical Prospecting,1996,31(4):587-596.
[2]
Xue Y,Man M,Zu S,et al.Amplitude-preserving ite-rative deblending of simultaneous source seismic data using high-order radon transform[J].Journal of Applied Geophysics,2017,139:79-90.
[3]
Zhang D,Chen Y,Huang W,et al.Multi-step damped multichannel singular spectrum analysis for simultaneous reconstruction and denoising of 3D seismic data[J].Journal of Geophysics and Engineering,2016,13(5):704-720.
[4]
张华,陈小宏,李红星,等.曲波变换三维地震数据去噪技术[J].石油地球物理勘探,2017,52(2):226-232.ZHANG Hua,CHEN Xiaohong,LI Hongxing,et al.3D seismic data de-noising approach based on Curvelet transform[J].Oil Geophysical Prospecting,2017,52(2):226-232.
[5]
张岩,任伟建,唐国维.应用结构聚类字典学习压制地震数据随机噪声[J].石油地球物理勘探,2018,53(6):1119-1127.ZHANG Yan,REN Weijian,TANG Guowei.Random noise suppressing on seismic data based on structured-clustering dictionary learning[J].Oil Geophysical Prospecting,2018,53(6):1119-1127.
[6]
陈颖频,彭真明,李美惠,等.基于交叠组稀疏广义全变分的地震信号随机噪声衰减[J].石油地球物理勘探,2019,54(1):24-35.CHEN Yingpin,PENG Zhenming,LI Meihui,et al. Random noise suppression based on the improved total generalized variation with overlapping group sparsity[J].Oil Geophysical Prospecting,2019,54(1):24-35.
[7]
Hanitzsch C.Comparison of weights in prestack amplitude-preserving Kirchhoff depth migration[J].Geo-physics,1997,62(6):1812-1816.
[8]
Plessix R E,Mulder W A.Frequency-domain finite-difference amplitude-preserving migration[J].Geophysical Journal International,2004,157(3):975-987.
[9]
王者顺,樊佳芳,高鸿,等.塔河油田叠后地震资料高保真处理技术[J].物探与化探,2004,28(5):436-438,442.WANG Zheshun,FAN Jiafang,GAO Hong,et al.A study on post-stacked seismic data high fidelity processing in Tahe oilfield[J].Geophysical and Geochemical Exploration,2004,28(5):436-438,442.
[10]
高静怀,朱光明,汪文秉,等.小波变换与地震资料谱白化[J].煤田地质与勘探,1997,25(3):44-49.GAO Jinghuai,ZHU Guangming,WANG Wenbing,et al.Wavelet transform and spectrum whitening of seismogram[J].Coal Geology and Exploration,1997,25(3):44-49.
[11]
张晶.子波整形处理方法研究[J].内蒙古石油化工,2009,35(11):17-19.ZHANG Jing.Study on wavelet shaping processing[J].Inner Mongolia Petrochemical Industry,2009,35(11):17-19.
李英才,王艳仓,李旭,等.地表一致性俞氏子波反褶积[J].石油物探,1997,36(增刊1):56-62.LI Yingcai,WANG Yancang,LI Xu,et al.Surface consistent deconvolution of Yu's wavelet[J].Geophysical Prospecting for Petroleum,1997,36(S1):56-62.
[15]
曹思远.基于俞氏子波的时频分解[C].中国地球物理学会第22届年会论文集,四川成都,2006,126.CAO Siyuan.Time-frequency decomposition based on Yu's wavelet[C].The 22nd Annual Meeting Symposium of the Chinese Geophysical Society,Chengdu,Sichuan,2006,126.
[16]
栾颖.约束稀疏脉冲波阻抗反演方法在煤层识别中的应用[D].吉林长春:吉林大学,2010.LUAN Ying.The Application of Constrained Sparse Spike Inversion in the Coal Bed Identification[D].Jilin University,Changchun,Jilin,2010.
[17]
苏世龙,贺振华,戴晓云,等.岩性油气藏地震保幅处理技术及其应用——以东部某油田岩性气藏为例[J].物探与化探,2015,39(1):54-59.SU Shilong,HE Zhenhua,DAI Xiaoyun,et al.The application of relative amplitude compensation technology to lithologic reservoir exploration:A case study of lithologicgas reservoir in an oilfield of eastern China[J].Geophysical and Geochemical Exploration,2015,39(1):54-59.
[18]
Hou D J,Zhou D H,Zhang Z J,et al.The application of broadband Ricker wavelet in thin reservoir description[C].Extended Abstracts of 79th EAGE Confe-rence & Exhibition,2017,1-5.
[19]
曹思远,袁殿.高分辨率地震资料处理技术综述[J].新疆石油地质,2016,37(1):112-119.CAO Siyuan,YUAN dian.A review of high-resolution seismic data processing approaches[J].Xinjiang Petroleum Geology,2016,37(1):112-119.
[20]
陈双全,李向阳.应用傅里叶尺度变换提高地震资料分辨率[J].石油地球物理勘探,2015,50(2):213-218.CHEN Shuangquan,LI Xiangyang.Seismic resolution enhancement based on the scale characteristics of Fourier transform[J].Oil Geophysical Prospecting,2015,50(2):213-218.
