基于匹配追踪算法的频谱成像技术及其应用
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摘要
本文研究了Liu等提出的基于Morlet小波的匹配追踪(MMP)算法,并将该算法中固定的尺度参数k改进为可灵活变化的自由尺度,形成了具有自由尺度参数的EMMP算法,提高了算法的实用性和灵活性。理论模型验证及实际资料应用结果表明:①EMMP算法较短时傅里叶变换(STFT)、小波变换(WT)等传统方法,具有更高的时频分辨率;②EMMP算法中的原子结构具有自由尺度,原子结构更加灵活,解决了MMP算法中难以确定最优尺度的问题,从而使时频原子库对非平稳地震信号具有更强的匹配能力;③利用EMMP算法、MMP算法对QK凹陷ZH区及JH区地震资料的频谱成像结果说明,EMMP算法较MMP算法具有更高的横向分辨率,对应火成岩反射主频率的分频切片能清晰地刻画火成岩储层边界。
MMP algorithm by Liu was studied in this paper,the fixed scale parameter in the algorithm was modified to a flexible scale so the EMMP algorithm was formed and the practicability and flexibility of the MMP algorithm was raised.The theoretical model verification and the results for the field data application show the following conclusions:(1):Compared with some traditional algorithms,such as STFT,WT and so on,EMMP has higher time-frequency resolution,(2):The atom structure in EMMP algorithm has free scale,the atom's structure is more flexible,determination of the optimal scale which can not be solved in MMP algorithm got resolved,as a result the time-frequency atom library could have better matching ability for the non-stationary seismic signal.(3):The spectrum imaging results by EMMP and MMP algorithms for the seismic data in ZH area and JH area in QK Depression show that EMMP algorithm has higher lateral resolution than that of MMP algorithm,the frequency division slices which correspond to the main reflection frequency of the igneous rock could clearly delineate the boundary of the igneous rock reservoir.
MMP algorithm by Liu was studied in this paper,the fixed scale parameter in the algorithm was modified to a flexible scale so the EMMP algorithm was formed and the practicability and flexibility of the MMP algorithm was raised.The theoretical model verification and the results for the field data application show the following conclusions:(1):Compared with some traditional algorithms,such as STFT,WT and so on,EMMP has higher time-frequency resolution,(2):The atom structure in EMMP algorithm has free scale,the atom's structure is more flexible,determination of the optimal scale which can not be solved in MMP algorithm got resolved,as a result the time-frequency atom library could have better matching ability for the non-stationary seismic signal.(3):The spectrum imaging results by EMMP and MMP algorithms for the seismic data in ZH area and JH area in QK Depression show that EMMP algorithm has higher lateral resolution than that of MMP algorithm,the frequency division slices which correspond to the main reflection frequency of the igneous rock could clearly delineate the boundary of the igneous rock reservoir.
引文
[1]Partyka G,Gridley J and Lopez J.Interpretational appli-cations of spectral decomposition in reservoir character-ization.The Leading Edge,1999,18(3):353～360
[2]Burnett M D and Castagna J P.Application of spec-tral decomposition to gas basins in Mexico.The Leading Edge,2003,22(11):1130～1134
[3]Castagna J P,Sun S and Siegfried R W.Instantane-ous spectral analysis:Detection of low-frequency shadows associated with hydrocarbons.The Leading Edge,2003,22(2):129～127
[4]Sinha S,Routh P S,Anno P D and Castagna J P.Spec-tral decomposition of seismic data with continuous-wave-let transforms.Geophysics,2005,70(6):P19～P25
[5]Marianne R D and Matt R.Spectral decomposition-transform methods and fluid and reservoir prediction case.Expanded Abstracts of67th EAGE Internat Mtg,EAGE,2005
[6]蔡瑞.基于谱分解技术的缝洞型碳酸盐岩溶洞识别方法.石油勘探与开发,2005,32(2):82～85
[7]肖学,罗涛,柳运景等.储层频谱成像技术在塔里木盆地阿北—顺北地区的应用.石油天然气学报,2006,28(3):261～263
[8]Mallat S G and Zhang Z.Matching pursuits with time-frequency dictionaries.IEEE Transactions on Signal Processing,1993,41(12):3397～3415
[9]Sun S,Castagna J P and Seigfried R W.Examples of wavelet transform time frequency analysis in direct hydrocarbon detection.SEG Technical Program Ex-panded Abstracts,2002,21:457～460
[10]Liu J,Wu Y,Han D and Li X.Time-Frequency de-composition based on Ricker wavelet.SEG Technical ProgramExpanded Abstracts,2004,23:1937～1940
[11]Liu J and Marfurt KJ.Matching pursuit decomposi-tion using Morlet wavelets.SEG Technical Program Expanded Abstracts,2005,24:786～789
[12]Chakraborty Aand Okaya D.Frequency-time decom-position of seismic data using wavelet-based methods.Geophysics,1995,60(6):1906～1915
[13]Mitsuhata Y,Koichi Mand Masato M.Magnetotellu-ric survey for exploration of a volcanic-rock reservoir in the Yurihara oil and gas field,Japan.Geophysical Prospecting,1999,47(3-4):195～218
[14]Zhou X Mand Li W X.Origin of late Mesozoic igne-ous rocks in southeastern China:implications for lith-osphere subduction and underplating of mafic mag-mas.Tectonophysics,2000,326(3-4):269～287
[15]张子枢,吴邦辉.国内外火山岩油气藏研究现状及勘探技术调研.天然气勘探与开发,1994,16(1):1～26
[16]罗静兰,邵红梅,张成立.火山岩油气藏研究方法与勘探技术综述.石油学报,2003,24(1):32～38
[17]陈业全,李宝刚,刘春晓.塔中地区火山岩预测的综合地球物理方法.山东东营:石油大学出版社,2004
[18]文百红,杨辉,张研.中国典型火山岩油气藏地球物理特征及有利区带预测.中国石油勘探,2006,11(4):67～73
[2]Burnett M D and Castagna J P.Application of spec-tral decomposition to gas basins in Mexico.The Leading Edge,2003,22(11):1130～1134
[3]Castagna J P,Sun S and Siegfried R W.Instantane-ous spectral analysis:Detection of low-frequency shadows associated with hydrocarbons.The Leading Edge,2003,22(2):129～127
[4]Sinha S,Routh P S,Anno P D and Castagna J P.Spec-tral decomposition of seismic data with continuous-wave-let transforms.Geophysics,2005,70(6):P19～P25
[5]Marianne R D and Matt R.Spectral decomposition-transform methods and fluid and reservoir prediction case.Expanded Abstracts of67th EAGE Internat Mtg,EAGE,2005
[6]蔡瑞.基于谱分解技术的缝洞型碳酸盐岩溶洞识别方法.石油勘探与开发,2005,32(2):82～85
[7]肖学,罗涛,柳运景等.储层频谱成像技术在塔里木盆地阿北—顺北地区的应用.石油天然气学报,2006,28(3):261～263
[8]Mallat S G and Zhang Z.Matching pursuits with time-frequency dictionaries.IEEE Transactions on Signal Processing,1993,41(12):3397～3415
[9]Sun S,Castagna J P and Seigfried R W.Examples of wavelet transform time frequency analysis in direct hydrocarbon detection.SEG Technical Program Ex-panded Abstracts,2002,21:457～460
[10]Liu J,Wu Y,Han D and Li X.Time-Frequency de-composition based on Ricker wavelet.SEG Technical ProgramExpanded Abstracts,2004,23:1937～1940
[11]Liu J and Marfurt KJ.Matching pursuit decomposi-tion using Morlet wavelets.SEG Technical Program Expanded Abstracts,2005,24:786～789
[12]Chakraborty Aand Okaya D.Frequency-time decom-position of seismic data using wavelet-based methods.Geophysics,1995,60(6):1906～1915
[13]Mitsuhata Y,Koichi Mand Masato M.Magnetotellu-ric survey for exploration of a volcanic-rock reservoir in the Yurihara oil and gas field,Japan.Geophysical Prospecting,1999,47(3-4):195～218
[14]Zhou X Mand Li W X.Origin of late Mesozoic igne-ous rocks in southeastern China:implications for lith-osphere subduction and underplating of mafic mag-mas.Tectonophysics,2000,326(3-4):269～287
[15]张子枢,吴邦辉.国内外火山岩油气藏研究现状及勘探技术调研.天然气勘探与开发,1994,16(1):1～26
[16]罗静兰,邵红梅,张成立.火山岩油气藏研究方法与勘探技术综述.石油学报,2003,24(1):32～38
[17]陈业全,李宝刚,刘春晓.塔中地区火山岩预测的综合地球物理方法.山东东营:石油大学出版社,2004
[18]文百红,杨辉,张研.中国典型火山岩油气藏地球物理特征及有利区带预测.中国石油勘探,2006,11(4):67～73
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