基于多重积分的低频补偿反演方法研究
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摘要
南海深水区地震资料存在15 Hz以下低频能量较弱的特点,低频成分决定了波阻抗随深度增加的变化趋势,因此要获得该区准确的波阻抗反演结果,必须做好低频成分的补偿。目前,波阻抗低频成分主要是通过井阻抗低通滤波来补偿;但该方法具有局限性。井阻抗低频信息加入过多,会造成波阻抗横向模型化加重。基于此,提出了一种基于多重积分的低频补偿反演方法;并应用实际资料进行了验证。研究表明,该方法可有效解决低频能量较弱地震资料波阻抗反演的低频补偿问题。
The seismic data in deep water area of the South China Sea has the characteristic of weak energy below 15 Hz. The low-frequency component determined the variation trend of wave impedance increased with depth.In order to accurately recover the wave impedance curve,the low-frequency information compensation must be completed. At present,the low-frequency information of wave-impedance is mainly compensated through low pass filter of well impedance,but this method has limitations,which will cause the wave impedance modeling,if the low-frequency information of well impedance is added too much. In view of this,a method about low-frequency compensation inversion based on multiple integral is proposed,and it is demonstrated by processing actual data. The result shows that this method can effectively solve the problem of the low-frequency compensation of wave impedance inversion.
The seismic data in deep water area of the South China Sea has the characteristic of weak energy below 15 Hz. The low-frequency component determined the variation trend of wave impedance increased with depth.In order to accurately recover the wave impedance curve,the low-frequency information compensation must be completed. At present,the low-frequency information of wave-impedance is mainly compensated through low pass filter of well impedance,but this method has limitations,which will cause the wave impedance modeling,if the low-frequency information of well impedance is added too much. In view of this,a method about low-frequency compensation inversion based on multiple integral is proposed,and it is demonstrated by processing actual data. The result shows that this method can effectively solve the problem of the low-frequency compensation of wave impedance inversion.
引文
1 栾颖,冯晅,刘财,等.波阻抗反演技术的研究现状及发展.吉林大学学报:地球科学版,2008;38(增刊):94—98Luan Ying,Feng Xuan,Liu Cai,et al.The development of the research of the wave impedance inversion technique.Journal of Jilin University:Earth Science Edition,2008;38(Z):94—98
2 管路平,唐权钧.地震信号的高低频成分补偿.石油物探,1990;29 (3):35—45Guan Luping,Tang Quanjun.High/low frequency compensation of seismic signal.Geophysical Prospecting For Petroleum,1990;29(3):35—45
3 马劲风,王学军,谢言光,等.波阻抗反演中低频分量构建的经验与技巧.石油物探,2000;39(1):27—34Ma Jinfeng,Wang Xuejun,Xie Yanguang,et al.Experience and skill of constructing low fre-quency components in impedance inversion.Geophysical Prospecting for Petroleum,2000;39(1):27—34
4 Berkhout A J,Wapenaar C P A.线性化反演问题的频率域公式.美国勘探地球物理学家学会第57届年会论文集,北京:石油工业出版社,1989:435—439
5 罗有春.提高地震勘探分辨率方法理论与应用研究:反褶积.成都:成都理工大学,2009Luo Youchun.Improve the method and applied research of seismic survey resolution:deconvolution.Chengdu:Chengdu University of Technology,2009.
6 乐有喜,王经才,屠世杰.约束L1模反褶积.石油地球物理勘探,1997;32(2):171—180Yue Youxi,Wang Jingcai,Tu Shijie.Restrained L1 modulo deconvolution.Oil Geophysical Prospecting.1997;32(2):171—180
7 Economou N,Vafidis A.Spectral Balancing GPR data using time-variant band-with in the t-f domain.Geophysics,2010;75(3):19—27
8 李国发,王艳仓,熊金良,等.地震波阻抗反演实验分析.石油地球物理勘探,2010;45(6):868—872Li Guofa,Wang Yancang,Xiong Jinliang,et al.Experimental analysis on seismic impedance inversion.OGP,2010;45(6):868—872
9 徐旺林,庞雄奇,高仁安.储层测井特征属性反演方法.天然气工业,2005;25(3):52—54Xu Wanglin,Pang Xiongqi,Gao Ren'an.Inversion methods of log character attribute of reservior.Natural Gas Industry,2005;25(3):52 —54
10 陈学华,贺振华,黄德济.时频域高分辨率地震层序识别.吉林大学学报:地球科学版,2008;38(1):152—155Chen Xuehua,He Zhenhua,Huang Deji.Seismic sequence identifying with high resolution in time-frequency domain.Journal of Jilin University:Earth Science Edition,2008;38(1):152—155
11 赵淑红,朱光明.用小波变换谱均衡法提高地震资料的分辨率.西安科技大学学报,2007;27(2):255—259Zhao Shuhong,Zhu Guangming.Using combined method of wavelet transform and spectrum equalization to improve seismic data resolution.Journal of Xi'an Universityof Science Technology,2007;27(2):255—259
12 韩红平,陈如山.压缩感知中信号重构算法的研究.南京:南京邮电大学,2012Han Hongping,Chen Rushan.Research on signal reconstruction algorithm of compressive sense.Nanjing:Nanjing University of Posts and Telecommunications,2012
2 管路平,唐权钧.地震信号的高低频成分补偿.石油物探,1990;29 (3):35—45Guan Luping,Tang Quanjun.High/low frequency compensation of seismic signal.Geophysical Prospecting For Petroleum,1990;29(3):35—45
3 马劲风,王学军,谢言光,等.波阻抗反演中低频分量构建的经验与技巧.石油物探,2000;39(1):27—34Ma Jinfeng,Wang Xuejun,Xie Yanguang,et al.Experience and skill of constructing low fre-quency components in impedance inversion.Geophysical Prospecting for Petroleum,2000;39(1):27—34
4 Berkhout A J,Wapenaar C P A.线性化反演问题的频率域公式.美国勘探地球物理学家学会第57届年会论文集,北京:石油工业出版社,1989:435—439
5 罗有春.提高地震勘探分辨率方法理论与应用研究:反褶积.成都:成都理工大学,2009Luo Youchun.Improve the method and applied research of seismic survey resolution:deconvolution.Chengdu:Chengdu University of Technology,2009.
6 乐有喜,王经才,屠世杰.约束L1模反褶积.石油地球物理勘探,1997;32(2):171—180Yue Youxi,Wang Jingcai,Tu Shijie.Restrained L1 modulo deconvolution.Oil Geophysical Prospecting.1997;32(2):171—180
7 Economou N,Vafidis A.Spectral Balancing GPR data using time-variant band-with in the t-f domain.Geophysics,2010;75(3):19—27
8 李国发,王艳仓,熊金良,等.地震波阻抗反演实验分析.石油地球物理勘探,2010;45(6):868—872Li Guofa,Wang Yancang,Xiong Jinliang,et al.Experimental analysis on seismic impedance inversion.OGP,2010;45(6):868—872
9 徐旺林,庞雄奇,高仁安.储层测井特征属性反演方法.天然气工业,2005;25(3):52—54Xu Wanglin,Pang Xiongqi,Gao Ren'an.Inversion methods of log character attribute of reservior.Natural Gas Industry,2005;25(3):52 —54
10 陈学华,贺振华,黄德济.时频域高分辨率地震层序识别.吉林大学学报:地球科学版,2008;38(1):152—155Chen Xuehua,He Zhenhua,Huang Deji.Seismic sequence identifying with high resolution in time-frequency domain.Journal of Jilin University:Earth Science Edition,2008;38(1):152—155
11 赵淑红,朱光明.用小波变换谱均衡法提高地震资料的分辨率.西安科技大学学报,2007;27(2):255—259Zhao Shuhong,Zhu Guangming.Using combined method of wavelet transform and spectrum equalization to improve seismic data resolution.Journal of Xi'an Universityof Science Technology,2007;27(2):255—259
12 韩红平,陈如山.压缩感知中信号重构算法的研究.南京:南京邮电大学,2012Han Hongping,Chen Rushan.Research on signal reconstruction algorithm of compressive sense.Nanjing:Nanjing University of Posts and Telecommunications,2012
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