利用图像细化算法检测地震反射同相轴
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摘要
将图像细化算法引入到地震资料数字处理中,用于有效检测地震剖面的同相轴。先对地震剖面进行预处理:动平衡、归一化和二值化,接着进行地震图像细化处理,通过设置阈值大小和细化极性实现了地震同相轴的检测,并消除或削弱随机噪声对拾取算法的影响。通过对图像数据和实际地震数据的计算结果表明,细化算法可以将较厚条带状同相轴细化并居中化,实现同相轴的自动提取,从而可以有效指导地震资料的数字处理与解释工作。
The image processing operation is introduced into seismic data numerical processing to effectively check the cophasal axes of seismic sections.The seismic section is preprocessed firstly:dynamic balancing,normalization,and binarization,and then image thin processing was carried out.By introducing threshold and thin polarity,the automatic picking of effective seismic cophasal axes can be achieved,and the effect of random noise on picking operation can be reduced or removed.According to the processing results of image data and seismic data,the cophasal axes of thick strip can be thinned,centralized,and picked automatically by the image thin algorithm.The algorithm can effectively guide for the numerical processing and interpretation of seismic data.
The image processing operation is introduced into seismic data numerical processing to effectively check the cophasal axes of seismic sections.The seismic section is preprocessed firstly:dynamic balancing,normalization,and binarization,and then image thin processing was carried out.By introducing threshold and thin polarity,the automatic picking of effective seismic cophasal axes can be achieved,and the effect of random noise on picking operation can be reduced or removed.According to the processing results of image data and seismic data,the cophasal axes of thick strip can be thinned,centralized,and picked automatically by the image thin algorithm.The algorithm can effectively guide for the numerical processing and interpretation of seismic data.
引文
[1]熊会军,管业鹏,于蕴杰,等.基于图像边缘检测方法提取地震剖面同相轴[J].地球物理学进展,2009,24(6):2250-2254.
[2]单娜琳,程志平,刘云祯.工程地震勘探[M].北京:冶金工业出版社,2006.
[3]李庆忠.走向精确勘探的道路[M].北京:石油工业出版社,1993.
[4]伊尔马滋渥.地震资料分析——地震资料处理、反演和解释[M].刘怀山,译.北京:石油工业出版社,2006.
[5]牟永光.地震勘探资料数字处理方法[M].北京:石油工业出版社,1981.
[6]凌云.地震数据采集、处理、解释一体化实践与探索[M].北京:石油工业出版社,2007.
[7]李月,杨宝俊,赵雪平,等.检测地震勘探微弱同相轴的混沌振子算法[J].地球物理学报,2005,48(6):1428-1433.
[8]赵雪平,李月,杨宝俊.用于检测同相轴的Duffing型系统恢复力项的讨论[J].地球物理学进展,2006,21(1):61-69.
[9]李月,杨宝俊,林红波,等.地震勘探时空域双曲滤波因子的特点与提高信噪比的能力[J].地球物理学报,2008,51(5):1557-1566.
[10]陆文凯,牟永光.用自组织神经网络实现地震同相轴自动追踪[J].石油物探,1998,37(1):77-83.
[11]Liu X-w,Xue P,Li Y-d.Neural network method for tracing seismic events[C]//59TH ANNU SOC EXPLOR GEOPHYS INT MTG(Dallas,10/29/89-11/2/89)EXPANDED TECH PRO-GRAM ABSTR BIOGR,2.Dallas,1989:716-718.
[12]Huang K-y,William R,Chang I,et al.Self organizing neural network for picking seismic horizons[C]//60TH ANNU.SEG INT.MTG EXPANDED TECH.PROGRAM ABSTR.BIOGR,1.San Francisco,1990:313-316.
[13]Huang Yuankou.Neural network for seismic horizon picking[C]//Neural Networks Proceedings,1998.IEEE World Con-gress on Computational Intelligence.The1998IEEE Interna-tional Joint Conference on,3.Anchorage,1998:1840-1844.
[14]Chang C H,Hsieh W S,Hsieh S C,et al.Cellular neural network for seismic horizon picking[C]//Cellular Neural Networks and Their Applications,20059th International Workshop on,2005:219-222.
[15]Bondar I.Seismic horizon detection using image processing al-gotithm[J].Geophysical Prospecting,1982(4):785-799.
[16]高美娟,田景文,高兴友,等.利用边缘检测法检测地震反射同相轴[J].大庆石油学院学报,2000,24(3):8-11.
[17]李红星,刘财,陶春辉.图像边缘检测方法在地震剖面同相轴自动检测中的应用研究[J].地球物理学进展,2007,22(5):1607-1610.
[18]Pei C S,Ding J J,ICIP.Improved harris''algorithm for corner and edge detections[C]//Image Processing,2007.ICIP2007.IEEE International Conference on,3.San Antonio,TX,2007:57-60.
[19]宋建国,刘垒,李辉,等.分数阶导数在地震奇异性分析中的应用[J].石油物探,2009,48(1):72-75.
[20]周冠雄,胡志成.地震剖面图同相轴的AR自动追踪方法[J].自动化学报,1991,17(3):359-362.
[21]Herrmann F J,Stark C.Monoscale analysis of edges/reflectors u-sing fractional differentions/integrations[C]//69TH ANNU.SEG INT.MTG.EXPANDED ABSTR.BIOGR,2.Houston,1999:1837-1840.
[22]Scaling C F.Wavelet based singularity analyses for geological interpretation[D].Tulsa:University of Tulsa,2002.
[23]Herrmann J F.Singularity characterization by monoscale analysis:application to seismic imaging[J].Applied and Computation-al Harmonic Analysis,2001,11(1):64-88.
[24]Dessing F J,Hoekstra E V,Herrmann F J,et al.Multiscale edge detection elastic media[J].Inverse Problems,1997,13(3):669-690.
[25]阮秋琦.数字图像处理学[M].北京:电子工业出版社,2007.
[26]贾永红.计算机图像处理与分析[M].武汉:武汉大学出版社,2001.
[27]朱秀昌,刘峰,胡栋.数字图像处理与图像通信[M].北京:北京邮电大学出版社,2002.
[28]赵乘麟.一种新的保边缘滤波算法[J].电子与信息学报,2003,25(11):1581-1584.
[29]冈萨雷斯.数字图象处理[M].第2版.北京:电子工业出版社,2003.
[30]郭业才,赵俊渭,陈华伟,等.基于高阶累积量符号相干累积自适应滤波算法[J].系统仿真学报,2002,14(10):1280-1283.
[31]高鹰,谢胜利.一种基于三阶累积量的准则及自适应滤波算法[J].电子与信息学报,2002,24(9):1197-1201.
[32]高为广,何海波.自适应抗差联邦滤波算法[J].测绘学院学报,2004,21(1):24-26.
[33]张恒,雷志辉,丁晓华.一种改进的中值滤波算法[J].中国图象图形学报A辑,2004,9(4):408-411.
[34]李剑峰,乐光新,尚勇.基于改进型D-S证据理论的决策层融合滤波算法[J].电子学报,2004,32(7):1160-1164.
[35]景晓军,李剑峰,熊玉庆.静止图像的一种自适应平滑滤波算法[J].通信学报,2002,23(10):6-14.
[36]赵昕,李杰.一类加权全局迭代参数卡尔曼滤波算法[J].计算力学学报,2002,19(4):403-408.
[37]高鹰,谢胜利.基于矩阵广义逆递推的自适应滤波算法[J].电子学报,2002,30(7):1032-1034.
[38]郭良辉,孟小红,薛爱民.地震剖面线条化的一种简单算法[J].地球科学-中国地质大学学报,2007,32(4):545-548.
[39]贾瑜,饶建辉.一种对文字图像细化的改进Hilditch算法研究[J].武汉工业学院学报,2006,25(3):37-39.
[40]陈可洋.地震波数值模拟中差分近似的各向异性分析[J].石油物探,2010,49(1):19-22.
[41]陈可洋.标量声波波动方程高阶交错网格有限差分法[J].中国海上油气,2009,21(4):232-236.
[42]陈可洋.边界吸收中镶边法的评价[J].中国科学院研究生院学报,2010,27(2):170-175.
[43]陈可洋.高阶弹性波波动方程正演模拟及逆时偏移成像研究[D].大庆:大庆石油学院,2009.
[44]陈可洋.基于高阶有限差分的波动方程叠前逆时偏移方法[J].石油物探,2009,48(5):475-478.
[45]陈可洋.地震波旅行时计算方法及其模型试验分析[J].石油物探,2010,49(2):153-157.
[2]单娜琳,程志平,刘云祯.工程地震勘探[M].北京:冶金工业出版社,2006.
[3]李庆忠.走向精确勘探的道路[M].北京:石油工业出版社,1993.
[4]伊尔马滋渥.地震资料分析——地震资料处理、反演和解释[M].刘怀山,译.北京:石油工业出版社,2006.
[5]牟永光.地震勘探资料数字处理方法[M].北京:石油工业出版社,1981.
[6]凌云.地震数据采集、处理、解释一体化实践与探索[M].北京:石油工业出版社,2007.
[7]李月,杨宝俊,赵雪平,等.检测地震勘探微弱同相轴的混沌振子算法[J].地球物理学报,2005,48(6):1428-1433.
[8]赵雪平,李月,杨宝俊.用于检测同相轴的Duffing型系统恢复力项的讨论[J].地球物理学进展,2006,21(1):61-69.
[9]李月,杨宝俊,林红波,等.地震勘探时空域双曲滤波因子的特点与提高信噪比的能力[J].地球物理学报,2008,51(5):1557-1566.
[10]陆文凯,牟永光.用自组织神经网络实现地震同相轴自动追踪[J].石油物探,1998,37(1):77-83.
[11]Liu X-w,Xue P,Li Y-d.Neural network method for tracing seismic events[C]//59TH ANNU SOC EXPLOR GEOPHYS INT MTG(Dallas,10/29/89-11/2/89)EXPANDED TECH PRO-GRAM ABSTR BIOGR,2.Dallas,1989:716-718.
[12]Huang K-y,William R,Chang I,et al.Self organizing neural network for picking seismic horizons[C]//60TH ANNU.SEG INT.MTG EXPANDED TECH.PROGRAM ABSTR.BIOGR,1.San Francisco,1990:313-316.
[13]Huang Yuankou.Neural network for seismic horizon picking[C]//Neural Networks Proceedings,1998.IEEE World Con-gress on Computational Intelligence.The1998IEEE Interna-tional Joint Conference on,3.Anchorage,1998:1840-1844.
[14]Chang C H,Hsieh W S,Hsieh S C,et al.Cellular neural network for seismic horizon picking[C]//Cellular Neural Networks and Their Applications,20059th International Workshop on,2005:219-222.
[15]Bondar I.Seismic horizon detection using image processing al-gotithm[J].Geophysical Prospecting,1982(4):785-799.
[16]高美娟,田景文,高兴友,等.利用边缘检测法检测地震反射同相轴[J].大庆石油学院学报,2000,24(3):8-11.
[17]李红星,刘财,陶春辉.图像边缘检测方法在地震剖面同相轴自动检测中的应用研究[J].地球物理学进展,2007,22(5):1607-1610.
[18]Pei C S,Ding J J,ICIP.Improved harris''algorithm for corner and edge detections[C]//Image Processing,2007.ICIP2007.IEEE International Conference on,3.San Antonio,TX,2007:57-60.
[19]宋建国,刘垒,李辉,等.分数阶导数在地震奇异性分析中的应用[J].石油物探,2009,48(1):72-75.
[20]周冠雄,胡志成.地震剖面图同相轴的AR自动追踪方法[J].自动化学报,1991,17(3):359-362.
[21]Herrmann F J,Stark C.Monoscale analysis of edges/reflectors u-sing fractional differentions/integrations[C]//69TH ANNU.SEG INT.MTG.EXPANDED ABSTR.BIOGR,2.Houston,1999:1837-1840.
[22]Scaling C F.Wavelet based singularity analyses for geological interpretation[D].Tulsa:University of Tulsa,2002.
[23]Herrmann J F.Singularity characterization by monoscale analysis:application to seismic imaging[J].Applied and Computation-al Harmonic Analysis,2001,11(1):64-88.
[24]Dessing F J,Hoekstra E V,Herrmann F J,et al.Multiscale edge detection elastic media[J].Inverse Problems,1997,13(3):669-690.
[25]阮秋琦.数字图像处理学[M].北京:电子工业出版社,2007.
[26]贾永红.计算机图像处理与分析[M].武汉:武汉大学出版社,2001.
[27]朱秀昌,刘峰,胡栋.数字图像处理与图像通信[M].北京:北京邮电大学出版社,2002.
[28]赵乘麟.一种新的保边缘滤波算法[J].电子与信息学报,2003,25(11):1581-1584.
[29]冈萨雷斯.数字图象处理[M].第2版.北京:电子工业出版社,2003.
[30]郭业才,赵俊渭,陈华伟,等.基于高阶累积量符号相干累积自适应滤波算法[J].系统仿真学报,2002,14(10):1280-1283.
[31]高鹰,谢胜利.一种基于三阶累积量的准则及自适应滤波算法[J].电子与信息学报,2002,24(9):1197-1201.
[32]高为广,何海波.自适应抗差联邦滤波算法[J].测绘学院学报,2004,21(1):24-26.
[33]张恒,雷志辉,丁晓华.一种改进的中值滤波算法[J].中国图象图形学报A辑,2004,9(4):408-411.
[34]李剑峰,乐光新,尚勇.基于改进型D-S证据理论的决策层融合滤波算法[J].电子学报,2004,32(7):1160-1164.
[35]景晓军,李剑峰,熊玉庆.静止图像的一种自适应平滑滤波算法[J].通信学报,2002,23(10):6-14.
[36]赵昕,李杰.一类加权全局迭代参数卡尔曼滤波算法[J].计算力学学报,2002,19(4):403-408.
[37]高鹰,谢胜利.基于矩阵广义逆递推的自适应滤波算法[J].电子学报,2002,30(7):1032-1034.
[38]郭良辉,孟小红,薛爱民.地震剖面线条化的一种简单算法[J].地球科学-中国地质大学学报,2007,32(4):545-548.
[39]贾瑜,饶建辉.一种对文字图像细化的改进Hilditch算法研究[J].武汉工业学院学报,2006,25(3):37-39.
[40]陈可洋.地震波数值模拟中差分近似的各向异性分析[J].石油物探,2010,49(1):19-22.
[41]陈可洋.标量声波波动方程高阶交错网格有限差分法[J].中国海上油气,2009,21(4):232-236.
[42]陈可洋.边界吸收中镶边法的评价[J].中国科学院研究生院学报,2010,27(2):170-175.
[43]陈可洋.高阶弹性波波动方程正演模拟及逆时偏移成像研究[D].大庆:大庆石油学院,2009.
[44]陈可洋.基于高阶有限差分的波动方程叠前逆时偏移方法[J].石油物探,2009,48(5):475-478.
[45]陈可洋.地震波旅行时计算方法及其模型试验分析[J].石油物探,2010,49(2):153-157.
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