Abstract：Compressive sensing seismic acquisition aims at more efficient operation and cost reduction.Due to offshore equipment and technical limitations,compressive sensing random sampling may only be performed in some directions.We develop a Jitter-based system for offshore compressive sensing seismic acquisition geometry design and supporting modules for data reconstruction.We accomplish compressive sensing acquisition design for two offshore surveys and subsequent data reconstruction.The results show that data reconstruction,both for synthetic data from forward modeling and real data simulation,yields good results; whereas,acquisition cost is reduced by 1/3.This means that Jitter-based random sampling is feasible for offshore compressive sensing seismic acquisition geometry design.
张建军,刘红星,孙强,等."两宽一高"地震采集技术在鄂东缘致密砂岩气藏勘探中的应用[J].石油地球物理勘探,2018,53(增刊2):1-6.ZHANG Jianjun,LIU Hongxing,SUN Qiang,et al.Broadband,wide-azimuth and high-density seismic acquisition for the tight sand gas exploration in the east margin of Ordos Basin[J].Oil Geophysical Prospecting,2018,53(S2):1-6.
[2]
Candès E,Romberg J,Tao T.Stable signal recovery from incomplete and inaccurate measurements[J].Communications on Pure and Applied Mathematics,2006,59(8):1207-1223.
[3]
Donoho D L.Compressed sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306.
[4]
马坚伟.稀疏促进地震勘探[C].中国地球物理学会第二十七届年会论文集,湖南长沙,2011.MA Jianwei.Sparsity-promoting seismic exploration[C].Proceedings of the 27th Annual Meeting of China Geophysical Society,Changsha,Hunan,2011.
[5]
马坚伟.压缩感知走进地球物理勘探[J].石油物探,2018,57(1):24-27.MA Jianwei.Compressive sensing in geophysical exploration[J].Geophysical Prospecting for Petroleum,2018,57(1):24-27.
[6]
Ma J W,Yu S W.Sparsity in compressive sensing[J].The Leading Edge,2017,36(8):646-652.
[7]
陈生昌,陈国新,王汉闯.稀疏性约束的地球物理数据高效采集方法初步研究[J].石油物探,2015,54(1):24-35.CHEN Shengchang,CHEN Guoxin,WANG Hanchuang.The preliminary study on high efficient acquisition of geophysical data with sparsity constrains[J].Geophysical Prospecting for Petroleum,2015,54(1):24-35.
[8]
王汉闯,陶春辉,陈生昌,等.基于稀疏约束的地震数据高效采集方法理论研究[J].地球物理学报,2016,59(11):4246-4265.WANG Hanchuang,TAO Chunhui,CHEN Sheng-chang,et al.Study on highly efficient seismic data acquisition method and theory based on sparsity constraint[J].Chinese Journal of Geophysics,2016,59(11):4246-4265.
[9]
周松,吕尧,吕公河,等.基于压缩感知的非规则地震勘探观测系统设计与数据重建[J].石油物探,2017,56(5):617-625.ZHOU Song,LYU Yao,LYU Gonghe,et al.Irregular seismic geometry design and data reconstruction based on compressive sensing[J].Geophysical Prospecting for Petroleum,2017,56(5):617-625.
[10]
吕公河,邸志欣,霍守东,等.基于压缩感知的地震数据采集实践[J].石油物探,2018,57(6):831-841.LYU Gonghe,DI Zhixin,HUO Shoudong,et al.Seismic data acquisition based on compressive sensing[J].Geophysical Prospecting for Petroleum,2018,57(6):831-841.
[11]
Charles C M,Erik K,Sam T K.Compressive seismic imaging[C].SEG Technical Program Expanded Abstracts,2012,31:1-5.
[12]
Mosher C C,Kaplan S T.Non-uniform optimal sampling for seismic survey design[C].Extended Abstracts of 74th EAGE Conference & Exhibition,2012,333-336.
[13]
李成博,张宇.CSI:基于压缩感知的高精度高效率地震资料采集技术[J].石油物探,2018,57(4):537-542.LI Chengbo,ZHANG Yu.CSI:An efficient high-resolution seismic acquisition technology based on compressive sensing[J].Geophysical Prospecting for Petroleum,2018,57(4):537-542.
[14]
Hennenfent G and Herrmann F J.Simply denoise:wavefield reconstruction via jittered under sampling[J].Geophysics,2008,73(3):V19-V28.
[15]
Wason H,Herrmann F J.Time-jittered ocean bottom seismic acquisition[C].SEG Technical Program Expanded Abstracts,2013,32:1-6.
[16]
黄小刚.浅谈海上压缩感知地震勘探[J].石油物探,2019,58(2):162-175.HUANG Xiaogang.Offshore seismic exploration based on compressive sensing[J].Geophysical Prospecting for Petroleum,2019,58(2):162-175.
[17]
黄小刚,王一博,刘伊克,等.半径-斜率域加权反假频地震数据重建[J].地球物理学报,57(7):2278-2290.HUANG Xiaogang,WANG Yibo,LIU Yike,et al.Weighted anti-alias seismic data reconstruction in R-P domain[J].Chinese Journal of Geophysics,2014,57(7):2278-2290.
[18]
刘群,付丽华,张婉娟.非凸Lp范数三维地震数据重建[J].石油地球物理勘探,2019,54(5):979-987,996.LIU Qun,FU Lihua,ZHANG Wanjuan.3D seismic data reconstruction based on non-convex Lp norm[J].Oil Geophysical Prospecting,2019,54(5):979-987,996.
[19]
彭佳明,付丽华,张雪敏.应用快速不动点延续算法的地震数据重建[J].石油地球物理勘探,2019,54(6):1195-1205.PENG Jiaming,FU Lihua,ZHANG Xuemin.Seismic data reconstruction based on fast fixed point continuation algorithm[J].Oil Geophysical Prospecting,2019,54(6):1195-1205.
[20]
Abma R and Kabir N.3D interpolation of irregular data with a POCS algorithm[J].Geophysics,2006,71(6):E91-E97.
[21]
Galloway E and Sacchi M D.POCS method for seismicdata reconstruction of irregularly sampled data[C].Abstract of CSPG-CSEG-CWLS Joint Convention,Calgary,Canada,2007,555.
[22]
温睿,刘国昌,冉扬.压缩感知地震数据重建中的三个关键因素分析[J].石油地球物理勘探,2018,53(4):682-693.WEN Rui,LIU Guochang,RAN Yang.Three key factors in seismic data reconstruction based on compressive sensing[J].Oil Geophysical Prospecting,2018,53(4):682-693.
