地震子波提取方法综述
|
摘要
地震子波提取方法总体上可分为确定性子波提取方法、统计性子波提取方法两大类。确定性子波提取方法不需要对反射系数序列的分布作任何假设,能得到较为准确的子波,但很容易受各种测井误差的影响,尤其是声波测井资料不准而引起的速度误差会导致子波振幅畸变和相位谱扭曲;统计性子波提取不需要测井信息,也可以得到子波的估计,但需要对地震资料和地下反射系数序列的分布进行某种假设,所得到子波精度与假设条件的满足程度有关。文中对确定性子波提取方法和统计性子波提取方法进行了详尽的评述,并认为可将通信工程中的子空间分解法的思想用于混合相位子波提取。子空间法混合相位子波提取基于信号和噪声子空间正交的原理,建立二次型的目标函数,不需要对地层反射系数做任何假设,因此子波提取准确度高且稳定性好。
Generally,the methods of seismic wavelet pick-up can be divided into two categories: determinate wavelet pickup and statistic wavelet pickup.The determinate wavelet pickup does not need any hypothesis about the distribution of reflection coefficient sequence and obtains more accurate wavelet,but is easily affected by various logging errors,especially the velocity errors resulted from inaccurate sonic logging data can lead to distortion of amplitude and phase spectrum in wavelet; the statistic wavelet pickup does not require the logging information and also can obtain wavelet estimation,but needs to make hypothesis about seismic data and distribution of subsurface reflection coefficient sequence,and the resulted precision of wavelet is relative to the satisfied level of hypothetic conditions.The paper made detail commentary abut the methods of determinate wavelet pickup and statistic wavelet pickup,and considered that it can use the idea of subspace decomposition in communication engineering for mixed-phase wavelet pickup,which is based on the orthogonal principle of signal with noise in subspace,creates quadratic form of objective function and does not need to make any hypothesis about the reflection coefficient of strata,therefore,the wavelet pickup is characteristics of high accuracy and good stability.
Generally,the methods of seismic wavelet pick-up can be divided into two categories: determinate wavelet pickup and statistic wavelet pickup.The determinate wavelet pickup does not need any hypothesis about the distribution of reflection coefficient sequence and obtains more accurate wavelet,but is easily affected by various logging errors,especially the velocity errors resulted from inaccurate sonic logging data can lead to distortion of amplitude and phase spectrum in wavelet; the statistic wavelet pickup does not require the logging information and also can obtain wavelet estimation,but needs to make hypothesis about seismic data and distribution of subsurface reflection coefficient sequence,and the resulted precision of wavelet is relative to the satisfied level of hypothetic conditions.The paper made detail commentary abut the methods of determinate wavelet pickup and statistic wavelet pickup,and considered that it can use the idea of subspace decomposition in communication engineering for mixed-phase wavelet pickup,which is based on the orthogonal principle of signal with noise in subspace,creates quadratic form of objective function and does not need to make any hypothesis about the reflection coefficient of strata,therefore,the wavelet pickup is characteristics of high accuracy and good stability.
引文
[1]李庆忠.走向精确勘探的道路.北京:石油工业出版社,1994
[2]张贤达.现代信号处理(第二版).北京:清华大学出版社,2002
[3]Matsuoka T et al.Phase esti mation using the bispe-trum.Proceedings of IEEE,1984,72(10):1403～1411
[4]Lazear G D.Mixed phase wavelet esti mation using fourth order cumulants.Geophysics,1993,58(7):1042～1051
[5]Velis D R et al.Si mulated annealing wavelet esti ma-tion via fourth order cumulant matching.Geophysics,1996,61(6):1939～1948
[6]李振春等.地震数据处理方法.山东东营:石油大学出版社,2004
[7]Leinbach J.Wiener spiking de-convolution and mini-mum-phase wavelets,Atutorial.The Leading Edge,1995,14:189～192
[8]Cooke D A et al.Generalized linear inversion.Geo-physics,1983,48(6):665～676
[9]Arild B et al.Bayesian wavelet esti mation fromseis-mic and well data.Geophysics,2003,68(6):2000～2009
[10]张广智等.井旁道地震子波精细提取方法.石油地球物理勘探,2005,40(2):158～162
[11]马建仓等.盲信号处理.北京:国防工业出版社,2006
[12]Kari m A Met.al.Blind System Identification.Pro-ceedings of IEEE,1997,85(8):1310～1322
[13]乐友喜等.任意相位子波的分形反褶积方法.石油地球物理勘探,1996,31(6):826～834
[14]赵秋亮等.基于分形方法的地震子波提取及应用.石油物探,2005,44(1):7～11
[15]Zhang X D et al.FIR systemidentification using high order cumulants alone.IEEE Trans on SP,1994,42(10):2854～2858
[16]梁光河.地震子波提取方法研究.石油物探,1998,37(1):31～39
[17]Sacchi M D.Statistical and transform methods for seismic signal processing.Available at http://cm-gw.phys.ualberta.ca/～sacchi/saig
[18]Ulrych T J et al.Wavelet esti mation revisited.The Leading Edge,1995,14:1139～1143
[19]李国发等.复赛谱域提取混合相位子波的方法.天然气工业,2005,25(1):85～87
[20]Petropulu A P et al.Phase reconstruvtion from bis-pectrum slices.IEEE Trans on SP,1998,46(2):527～530
[21]邹谋炎.反卷积和信号复原.北京:国防工业出版社,2001
[22]谢桂生等.双谱地震子波估计.西南石油学院学报,2000,22(3):25～28
[23]李大卫等.高阶谱混合方法地震子波估计及处理.地球物理学进展,2005,20(1):29～33
[24]Pan R Let al.Phase reconstructionin the trispectrum domain.IEEE Trans on Acoustics,Speech,andSP,1987,36(6):895～897
[25]Hargreaves N D.Wavelet esti mation via fourth order cumulant.Expanded Abstracts of64th SEG Mtg,1994,1588～1590
[26]Somanath M.Wavelet esti mation by non-linear opti-mization of all-pass operators.CSPG-CSEG-CWLS Convention,2006
[27]Ursin B et al.Esti mation of an opti mal mixed-phase inverse filter.Geophysical Prospecting,2000,48:663～676
[28]Porsani MJ et al.Mixed-phase deconvolution.Geo-physics,1998,63(2):637～647
[29]Moulines E et al.Subspace methods for the blind i-dentification of multichannel FIRfilters.IEEE Trans on SP,1995,43(2):516～525
[30]Tong L et al.A new approach to blind identification and equalization of multipath channels.Proceeding of the25th Asilomar Conference,1991:856～860
[2]张贤达.现代信号处理(第二版).北京:清华大学出版社,2002
[3]Matsuoka T et al.Phase esti mation using the bispe-trum.Proceedings of IEEE,1984,72(10):1403～1411
[4]Lazear G D.Mixed phase wavelet esti mation using fourth order cumulants.Geophysics,1993,58(7):1042～1051
[5]Velis D R et al.Si mulated annealing wavelet esti ma-tion via fourth order cumulant matching.Geophysics,1996,61(6):1939～1948
[6]李振春等.地震数据处理方法.山东东营:石油大学出版社,2004
[7]Leinbach J.Wiener spiking de-convolution and mini-mum-phase wavelets,Atutorial.The Leading Edge,1995,14:189～192
[8]Cooke D A et al.Generalized linear inversion.Geo-physics,1983,48(6):665～676
[9]Arild B et al.Bayesian wavelet esti mation fromseis-mic and well data.Geophysics,2003,68(6):2000～2009
[10]张广智等.井旁道地震子波精细提取方法.石油地球物理勘探,2005,40(2):158～162
[11]马建仓等.盲信号处理.北京:国防工业出版社,2006
[12]Kari m A Met.al.Blind System Identification.Pro-ceedings of IEEE,1997,85(8):1310～1322
[13]乐友喜等.任意相位子波的分形反褶积方法.石油地球物理勘探,1996,31(6):826～834
[14]赵秋亮等.基于分形方法的地震子波提取及应用.石油物探,2005,44(1):7～11
[15]Zhang X D et al.FIR systemidentification using high order cumulants alone.IEEE Trans on SP,1994,42(10):2854～2858
[16]梁光河.地震子波提取方法研究.石油物探,1998,37(1):31～39
[17]Sacchi M D.Statistical and transform methods for seismic signal processing.Available at http://cm-gw.phys.ualberta.ca/～sacchi/saig
[18]Ulrych T J et al.Wavelet esti mation revisited.The Leading Edge,1995,14:1139～1143
[19]李国发等.复赛谱域提取混合相位子波的方法.天然气工业,2005,25(1):85～87
[20]Petropulu A P et al.Phase reconstruvtion from bis-pectrum slices.IEEE Trans on SP,1998,46(2):527～530
[21]邹谋炎.反卷积和信号复原.北京:国防工业出版社,2001
[22]谢桂生等.双谱地震子波估计.西南石油学院学报,2000,22(3):25～28
[23]李大卫等.高阶谱混合方法地震子波估计及处理.地球物理学进展,2005,20(1):29～33
[24]Pan R Let al.Phase reconstructionin the trispectrum domain.IEEE Trans on Acoustics,Speech,andSP,1987,36(6):895～897
[25]Hargreaves N D.Wavelet esti mation via fourth order cumulant.Expanded Abstracts of64th SEG Mtg,1994,1588～1590
[26]Somanath M.Wavelet esti mation by non-linear opti-mization of all-pass operators.CSPG-CSEG-CWLS Convention,2006
[27]Ursin B et al.Esti mation of an opti mal mixed-phase inverse filter.Geophysical Prospecting,2000,48:663～676
[28]Porsani MJ et al.Mixed-phase deconvolution.Geo-physics,1998,63(2):637～647
[29]Moulines E et al.Subspace methods for the blind i-dentification of multichannel FIRfilters.IEEE Trans on SP,1995,43(2):516～525
[30]Tong L et al.A new approach to blind identification and equalization of multipath channels.Proceeding of the25th Asilomar Conference,1991:856～860
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