一种基于EMD和GHT的储层识别方法
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摘要
针对地震信号是具有一定带宽的非平稳信号,波形受这个带宽内所有频率影响,提出结合经验模态分解和广义希尔伯特的储层预测方法,并通过经验模态分解将地震信号分解为频率由高到低的一系列本征模函数,对分解后的每一个本征模函数分量作广义希尔伯特计算。通过与已知井储层发育情况对比,从中优选出了对储层响应敏感的本征模函数分量进行储层预测。实际资料计算结果表明,结合经验模态分解和广义希尔伯特的储层识别方法,具有较强的噪音压制能力,能够精确刻画储层形态。
Seismic signal is a complex non-stationary signal with a definite frequency bandwidth,and the waveform is affected by all the frequency components in the band.So a new method for reservoir prediction combined empirical mode decomposition with generalized Hilbert transform is proposed.The empirical mode decomposition(EMD) technique adaptively decomposes the seismic signals into a series of intrinsic mode functions(IMF),and every IMF component is carried out the GHT calculation.By comparing the results with reservoir development in fixed wells,the IMF components sensitive to the reservoir are optimized and used to carry out reservoir prediction.The computational result of actual data shows that the method based on EMD and GHT can be used to describe the reservoir accurately.
Seismic signal is a complex non-stationary signal with a definite frequency bandwidth,and the waveform is affected by all the frequency components in the band.So a new method for reservoir prediction combined empirical mode decomposition with generalized Hilbert transform is proposed.The empirical mode decomposition(EMD) technique adaptively decomposes the seismic signals into a series of intrinsic mode functions(IMF),and every IMF component is carried out the GHT calculation.By comparing the results with reservoir development in fixed wells,the IMF components sensitive to the reservoir are optimized and used to carry out reservoir prediction.The computational result of actual data shows that the method based on EMD and GHT can be used to describe the reservoir accurately.
引文
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[2]刘丽娟,王山山.广义S变换窗函数的分析和改进[J].岩性油气藏,2007,19(2):76-79.
[3]Gabor D.Theory of Communication[J].J.IEEE,1946,93:429-457.
[4]张贤达.现代信号处理:第二版[M].北京:清华大学出版社,2003:368-395.
[5]刘喜斌,张宁,勾永峰,等.地震勘探信号时频分析方法对比与应用分析[J].地球物理学进展,2008,23(6):743-753.
[6]张学涛,王祝文,原镜海.利用时频分析方法在阵列声波测井中区分油水层[J].岩性油气藏,2008,20(1):101-104.
[7]陈林,宋海斌.基于经验模态分解的地震瞬时属性提取[J].地球物理学进展,2008,23(4):1179-1185.
[8]Flandrin P,Gon觭alvès P.Empirical mode decompositions as data-driven wavelet-like expansions for stochastic processes[J].Interna-tional Journal of Wavelets,Multiresolution and Information Processes,2004,2:477-496.
[9]Battista B M,Knapp C,McGee T,et al.Application of the empirical mode decomposition and Hilbert-Huang transform to seismic reflec-tion data[J].Geophysics,2007,72(2):29-37.
[10]Wen X T,He Z H,Huang D J.Reservoir detection based on EMD and correlation dimension[J].Applied Geophysics,2009,6(3):70-76.
[11]何正嘉,訾艳阳,张西宁.现代信号处理及工程应用[M].西安:西安交通大学出版社,2007:219-245.
[12]Huang N E,Shen Z,Long S R.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society.A,1998,454:903-995.
[13]李晓春,王祝文,岳崇旺,等.Hilbert-Huang变换在提取声波测井信号储集特性中的应用[J].岩性油气藏,2009,21(1):107-111.
[14]Flandrin P,Rilling G,Goncalves P.Empirical mode decomposition as a filter bank[J].IEEE Signal Processing Letters,2004,11(2):112-115.
[15]陈博涛,王祝文,丁阳,等.Hilbert-Huang变换在阵列声波测井信号时频分析中的应用[J].岩性油气藏,2010,22(1):93-97.
[16]熊晓军,贺振华,赵金明,等.一种基于GHT的裂缝检测新方法[J].石油地球物理勘探,2009,44(4):442-444.
[17]Luo Y,Al-Dossary S,Marhoon M,et al.Acquisition,processing-Generalized Hilbert transform and its applications in Geophysics[J].The Leading Edge,2003,22(3):198-202.
[18]党志敏,贺振华,黄德济.广义希尔伯特变换在含噪信号边缘检测中的应用效果分析[J].油气地球物理,2007,5(2):25-28.
[19]贺振华,黄德济,文晓涛.裂缝油气藏地球物理预测[M].成都:四川科技出版社,2007:138-141.
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