利用信息融合技术整合地震分频信号的方法及应用研究
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摘要
在分析常规利用RGB混频显示技术整合分频信号的应用效果及局限性基础上,提出将三参数小波频谱成像技术与信息融合技术结合应用来预测地质异常体空间展布的新方法。该方法首先构造三参数小波进行地震资料的频谱分解从而得到不同频率小波域的高精度地震信号。在此基础上利用基于模糊逻辑理论的信息融合算法来整合得到的分频信号,最终结果以概率的形式对地质异常体的展布特征进行精细定量刻画,实际资料的应用效果证明了该方法的有效性和实用性。
On the application effect and limitation analysis of RGB frequency mixing display technology which used to integrate decomposed spectrum signals, a new method based on the three parameters wavelet spectral imaging technology and information fusion technology is proposed to predict the geologic abnormal body space distribution. Firstly, basic wavelet is constructed by three kinds of parameters and used to transform seismic signal to get different frequency domains signals, then we integrate those signals with information fusion algorithm based on fuzzy logic theory, The finally result describes geology phenomenon more efficiently like a probability index, The actual data and application effect proved the effectiveness and practicability of this method.
On the application effect and limitation analysis of RGB frequency mixing display technology which used to integrate decomposed spectrum signals, a new method based on the three parameters wavelet spectral imaging technology and information fusion technology is proposed to predict the geologic abnormal body space distribution. Firstly, basic wavelet is constructed by three kinds of parameters and used to transform seismic signal to get different frequency domains signals, then we integrate those signals with information fusion algorithm based on fuzzy logic theory, The finally result describes geology phenomenon more efficiently like a probability index, The actual data and application effect proved the effectiveness and practicability of this method.
引文
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[2]Partyka GJ,Gridley J,Lopez J.Interpretational applications of spectral decomposition in reservoir characterization[J].The Leading Edge,1999,18(3):353-360.
[3]Marfurt KJ,Kirlin RL.Narrow-band spectral analysis and thin-bed tuning[J].Geophysics,2001,66(4):1274-1283.
[4]Burnett MD,Castagna JP.Application of spectral decomposition to gas basin in Mexico[J].The Leading Edge,2003,22(11):120-127.
[5]Castagna JP,Siegfried RB.Instantaneous spectral analysis:Detection of low-frequency shadows associated with hydrocarbons[J].The Leading Edge,2003,22(1):120-127.
[6]Sinha S,Routh PS,Anno PD,et al.Spectral decomposition of seismic data with continuous wavelet transform[J].Geophysics,2005,70:19-25.
[7]Sinha S,Routh PS,Anno PD.Instantaneous spectral attributes using scales in continuous wavelet transform[J].Geophysics,2009,74(2):137-142.
[8]Mallat SA.A wavelet tour of signal processing[M].2ed.San Diego:Academic Press Inc,1999.
[9]高静怀,万涛,陈文超,等.地震资料处理中小波函数的选取研究[J].地球物理学报,1996,39(3):392-400.Gao JH,Wang T,Chen WC,et al.On the choice of wavelet functions for seismic data processing[J].Chinese Journal of Geophysics,1996,39(3):392-400.
[10]Hall M.Predicting bed thickness with spectral decomposition[J].The Leading Edge,2006,25(2):199-204.
[11]Castagna JP,Sun SJ.Comparison of spectral decomposition methods[J].First Break,2006,24(3):75-79.
[12]曹鉴华.RGB混频显示技术在某工区河道识别中的应用[J].勘探地球物理进展,2010,33(5):355-358.Cao JH.RGB mixing-frenquency display technology and it's application in channel detection[J].Progress in Exploration Geophysics,2010,33(5):355-358.
[13]朱振宇,吕丁友,桑淑云,等.基于物理小波的频谱分解方法及应用研究[J].地球物理学报,2009,52(8):2152-2157.Zhu ZY,Lv DY,Sang SY,et al.Research of spectrum decomposition method based on physical swavelet transform and its application[J].Chinese Journal of Geophysics,2009,52(8):2152-2157.
[14]高静怀,万涛,陈文超,等.三参数小波及其在地震资料分析中的应用[J].地球物理学报,2006,49(6):1802-1812.Gao JH,Wan T,Chen WC,et al.Three parameter wavelet and its application to seismic data processing[J].Chinese Journal of Geophysics,2006,49(6):1802-1812.
[15]Harrop JD,Taraskin SN,Elliott SR.Instantaneous frequency and amplitude identification using wavelets:Application to glass structure[J].Physical Review,2002,E66:026703.
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