体纹理属性提取技术研究及应用
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摘要
纹理分析是图像处理中的一项常用技术,通过对地震数据的标准化、体元划分等处理后,将该项技术应用到地震数据分析中,并在断层与河道的识别和刻画方面取得较好的效果,但对道内振幅变化关系及小断层细节刻画不是非常清晰.本文通过对算法的研究及程序开发,以单个体元为标准,并以奇数对称为准则,修改了数据标准化的方法,实现了模型数据测试,结果显示该技术能清晰刻画出道内与道间振幅变化关系;并在HL工区的进行应用,在河道与断层细节刻画方面取得较好的成果.通过体纹理属性的分析,较好的计算出了地震数据中道内与道间振幅变化的统计关系,尤其在细小断层或裂缝发育区,充分体现出了重新标准化后的纹理分析技术在分析河道及细小断层或裂缝上的优越性.
Texture analysis is a common technology in image processing,which can be extended to the field of seismic data analysis by normalizing seismic data,dividing volume element etc.It achieved better effect in fault identification,channel detection,but,It's not very clear of intrace relationship of amplitude and the details of small fault.Through the algorithm research and program development,With a single volume element as a unit,and the odd symmetry as a criterion,data standardization method modification,the model test is realized,so that this technology is great advantages in characterize both intratrace and intertrace relationship of amplitude;this method is applied in HL area and the better results on describing channel and fault detail are obtained.Through the analysis of volume texture attribute,the Statistical relationship both intratrace and intertrace of seismic data is better characterized,especially in small fault or fracture development zone,which fully reflects the advantages of renormalized of texture analysis technique on detection channel and small faults or cracks.
Texture analysis is a common technology in image processing,which can be extended to the field of seismic data analysis by normalizing seismic data,dividing volume element etc.It achieved better effect in fault identification,channel detection,but,It's not very clear of intrace relationship of amplitude and the details of small fault.Through the algorithm research and program development,With a single volume element as a unit,and the odd symmetry as a criterion,data standardization method modification,the model test is realized,so that this technology is great advantages in characterize both intratrace and intertrace relationship of amplitude;this method is applied in HL area and the better results on describing channel and fault detail are obtained.Through the analysis of volume texture attribute,the Statistical relationship both intratrace and intertrace of seismic data is better characterized,especially in small fault or fracture development zone,which fully reflects the advantages of renormalized of texture analysis technique on detection channel and small faults or cracks.
引文
[1]Gao D L.Volume texture extraction for 3Dseismic visualizationand interpretation[J].Geophysics,2003,68(4):1294-1302.
[2]崔世凌,张军华,王伟,等.地震纹理属性在JJD工区断层识别中的应用[J].物探化探计算技术,2010,32(3):304-309.Cui S L,Zhang J H,Wang W,et al.The extraction ofseismic texture attribute and its application in faultidentification[J].Computing Techniques for Geophysical andGeochemical Exploration(in Chinese),2010,32(3):304-309.
[3]王治国,尹成,雷小兰,等.河道纹理属性分析中的灰度共生矩阵参数研究[J].石油地球物理勘探,2012,47(1):100-106.Wang Z G,Yin C,Lei X L,et al.GLCM parameters in fluvialtexture analysis[J].OGP(in Chinese),2012,47(1):100-106.
[4]高程程,惠晓威.基于灰度共生矩阵的纹理特征提取[J].计算机系统应用,2010,19(6):195-198.Gao C C,Hui X W.GLCM-based texture feature extraction[J].Computer Systems&Applications(in Chinese),2010,19(6):195-198.
[5]郭小娟,炎士涛,成绩福.基于纹理特征的图像检索方法的研究与实现[J].电脑开发与应用,2010,23(8):24-26.Guo X J,Yan S T,Cheng J F.Research and implementationof image retrieval method based on the texture feature[J].Computer Development&Applications(in Chinese),2010,23(8):24-26.
[6]刘晓民.纹理研究及其应用综述[J].测控技术,2008,27(5):4-6.Liu X M.Summary of texture research[J].Measurement andControl Technology(in Chinese),2008,27(5):4-6.
[7]刘晓民.纹理研究综述[J].计算机应用研究,2008,25(8):2284-2287.Liu X M.Summary of texture research[J].ApplicationResearch of Computers(in Chinese),2008,25(8):2284-2287.
[8]Balch A H.Color sonograms-a new dimension in seismic datainterpretation[J].Geophysics,1971,36(6):1074-1098.
[9]Taner M T,Koehler F,Sheriff R E.Complex seismic traceanalysis[J].Geophysics,1979,44(6):1041-1063.
[10]Love P L,Simaan M.Segmentation of stacked seismic databy the classification of image texture[J].SEG TechnicalProgram Expanded Abstracts,1984,3:480-482.
[11]Gao D L.Texture model regression for effective featurediscrimination:Application to seismic facies visualization aninterpretation[J].Geophysics,2004,69(4):958-967.
[12]Gao D L.Application of seismic texture model regression toseismic facies characterization and interpretation[J].TheLeading Edge,2008,27(3):394-397.
[13]Gao D L.Application of three-dimensional seismic textureanalysis with special reference to deep-marine faciesdiscrimination and interpretation:offshore Angola,westAfrica[J].AAPG Bulletin,2007,91(12):1665-1683.
[14]Gao D L.Latest developments in seismic texture analysis forsubsurface structure,faces,and reservoir characterization:Areview[J].Geophysics,2011,76(2):W1-W13.
[15]Chopra S,Alexeev V.Application of texture attributes analysisto 3Dseismic data[J].75th Annual International meeting,SEG Expanded Abstracts,2005,24:767-770.
[16]Chopra S,Marfurt K J.Seismic attributes-A historical perspective[J].Geophysics,2005,70(5):3SO-28SO.
[17]李胜军,高建虎,雍学善,等.球面波的反射P波AVO分析[J].地球物理学报,2012,55(10):3459-3466.Li S J,Gao J H,Yong X S,et al.Spherical-wave AVOanalysis of reflected P-wave[J].Chinese J.Geophys.(inChinese),2012,55(10):3459-3466.
[18]West B P,May S R,Eastwood J E,et al.Interactive seismicfacies classification using textural attributes and neuralnetworks[J].The Leading Edge,2002,21(10):1042-1049.
[19]Yenugu M,Marfurt K J,Matson S.Seismic texture analysisfor reservoir prediction and characterization[J].The LeadingEdge,2010,29(9):1116-1121.
[20]Chen Q,Sidney S.Seismic attribute technology for reservoirforecasting and monitoring[J].The Leading Edge,1997,16(5):445-450.
[21]Haralick R M,Shanmugam K,Dinstein I K.Textural Featuresfor image classification[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,3(6):610-621.
[22]黄捍东,赵迪,张如伟,等.基于灰关联和遗传算法的地震属性优化方法[J].石油地球物理勘探,2010,45(3):381-383.Huang H D,Zhao D,Zhang R W,et al.Seismic attributeoptimization method based on grey relational analysis andgenetic algorithm[J].Oil Geophysical Prospecting(inChinese),2010,45(3):381-383.
[23]尹成,王治国.明确地质含义的地震准属性的回顾与探讨[J].地球物理学进展,2012,27(5):2024-2032.Yin C,Wang Z G.Review of seismic meta-attribute ofexpressing geological objects[J].Progress in Geophysics(inChinese),2012,27(5):2024-2032.
[24]王咸彬,顾石庆.地震属性的应用与认识[J].石油物探,2004,43(增刊):25-27.Wang X B,Gu S Q.Application and understanding of seismicattribute[J].Geophysical Prospecting for Petroleum(inChinese),2004,43(S1):25-27.
[25]王光明.辽河坳陷大民屯凹陷三台子地区下第三系碎屑岩储层预测研究[J].地球物理学进展,2012,27(3):1143-1153.Wang G M.Lower Paleogene clastic rock reservoir predictingresearch for damintun sag of Liaohe depression in Santaiziarea[J].Progress in Geophysics(in Chinese),2012,27(3):1143-1153.
[26]李胜军,孙成禹,高建虎.地震波数值模拟中的频散压制方法分析[J].石油物探,2008,47(5):444-448.Li S J,Sun C Y,Gao J H.Ayalysis of dipersion suppressionin wave equation numerical simulation[J].GeophysicalProspecting for Petroleum(in Chinese),2008,47(5):444-448.
[27]杨桄,陈克雄,周脉鱼,等.SAR图像中目标的检测和识别研究进展[J].地球物理学进展,2007,22(2):617-621.Yang G,Chen K X,Zhou M Y,et al.Study evolution ofdetection and recognition on target in SAR image[J].Progress in Geophysics(in Chinese),2007,22(2):617-621.
[28]程日辉,李飞,沈艳杰,等.火山岩地层地震反射特征和地震-地质联合解释:以徐家围子断陷为例[J].地球物理学报,2011,54(2):611-619.Cheng R H,Li F,Shen Y J,et al.The seismic reflectionfeatures of volcanic stratum and the seismic-geologicalinterpretation:The case study in Xujiaweizi faulteddepression,Songliao basin[J].Chinese J.Geophys.(inChinese),2011,54(2):611-619.
[29]林昌荣,王尚旭.局部指数拟合异常提取法在普光气田的应用[J].地球物理学报,2011,54(1):218-226.Lin C R,Wang S X.Application of the method of extractinglocal exponential fitting abnormity to Puguang gas field[J].Chinese J.Geophys.(in Chinese),2011,54(1):218-226.
[30]王德利,何樵登,韩立国.裂隙型单斜介质中多方位地面三分量记录模拟[J].地球物理学报,2005,48(2):386-393.Wang D L,He Q D,Han L G.Multi-azimuth three-component surface seismic modeling for cracked monoclinicmedia[J].Chinese J.Geophys.(in Chinese),2005,48(2):386-393.
[31]冯磊,李光明.多属性模糊聚类在辽河滩海沉积相研究中的应用[J].地球物理学进展,2012,27(6):2622-2630.Feng L,Li G M.Application of multi-attribute fuzzyclustering on study of sedimentary facies of Liaohe beach area[J].Progress in Geophysics(in Chinese),2012,27(6):2622-2630.
[2]崔世凌,张军华,王伟,等.地震纹理属性在JJD工区断层识别中的应用[J].物探化探计算技术,2010,32(3):304-309.Cui S L,Zhang J H,Wang W,et al.The extraction ofseismic texture attribute and its application in faultidentification[J].Computing Techniques for Geophysical andGeochemical Exploration(in Chinese),2010,32(3):304-309.
[3]王治国,尹成,雷小兰,等.河道纹理属性分析中的灰度共生矩阵参数研究[J].石油地球物理勘探,2012,47(1):100-106.Wang Z G,Yin C,Lei X L,et al.GLCM parameters in fluvialtexture analysis[J].OGP(in Chinese),2012,47(1):100-106.
[4]高程程,惠晓威.基于灰度共生矩阵的纹理特征提取[J].计算机系统应用,2010,19(6):195-198.Gao C C,Hui X W.GLCM-based texture feature extraction[J].Computer Systems&Applications(in Chinese),2010,19(6):195-198.
[5]郭小娟,炎士涛,成绩福.基于纹理特征的图像检索方法的研究与实现[J].电脑开发与应用,2010,23(8):24-26.Guo X J,Yan S T,Cheng J F.Research and implementationof image retrieval method based on the texture feature[J].Computer Development&Applications(in Chinese),2010,23(8):24-26.
[6]刘晓民.纹理研究及其应用综述[J].测控技术,2008,27(5):4-6.Liu X M.Summary of texture research[J].Measurement andControl Technology(in Chinese),2008,27(5):4-6.
[7]刘晓民.纹理研究综述[J].计算机应用研究,2008,25(8):2284-2287.Liu X M.Summary of texture research[J].ApplicationResearch of Computers(in Chinese),2008,25(8):2284-2287.
[8]Balch A H.Color sonograms-a new dimension in seismic datainterpretation[J].Geophysics,1971,36(6):1074-1098.
[9]Taner M T,Koehler F,Sheriff R E.Complex seismic traceanalysis[J].Geophysics,1979,44(6):1041-1063.
[10]Love P L,Simaan M.Segmentation of stacked seismic databy the classification of image texture[J].SEG TechnicalProgram Expanded Abstracts,1984,3:480-482.
[11]Gao D L.Texture model regression for effective featurediscrimination:Application to seismic facies visualization aninterpretation[J].Geophysics,2004,69(4):958-967.
[12]Gao D L.Application of seismic texture model regression toseismic facies characterization and interpretation[J].TheLeading Edge,2008,27(3):394-397.
[13]Gao D L.Application of three-dimensional seismic textureanalysis with special reference to deep-marine faciesdiscrimination and interpretation:offshore Angola,westAfrica[J].AAPG Bulletin,2007,91(12):1665-1683.
[14]Gao D L.Latest developments in seismic texture analysis forsubsurface structure,faces,and reservoir characterization:Areview[J].Geophysics,2011,76(2):W1-W13.
[15]Chopra S,Alexeev V.Application of texture attributes analysisto 3Dseismic data[J].75th Annual International meeting,SEG Expanded Abstracts,2005,24:767-770.
[16]Chopra S,Marfurt K J.Seismic attributes-A historical perspective[J].Geophysics,2005,70(5):3SO-28SO.
[17]李胜军,高建虎,雍学善,等.球面波的反射P波AVO分析[J].地球物理学报,2012,55(10):3459-3466.Li S J,Gao J H,Yong X S,et al.Spherical-wave AVOanalysis of reflected P-wave[J].Chinese J.Geophys.(inChinese),2012,55(10):3459-3466.
[18]West B P,May S R,Eastwood J E,et al.Interactive seismicfacies classification using textural attributes and neuralnetworks[J].The Leading Edge,2002,21(10):1042-1049.
[19]Yenugu M,Marfurt K J,Matson S.Seismic texture analysisfor reservoir prediction and characterization[J].The LeadingEdge,2010,29(9):1116-1121.
[20]Chen Q,Sidney S.Seismic attribute technology for reservoirforecasting and monitoring[J].The Leading Edge,1997,16(5):445-450.
[21]Haralick R M,Shanmugam K,Dinstein I K.Textural Featuresfor image classification[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,3(6):610-621.
[22]黄捍东,赵迪,张如伟,等.基于灰关联和遗传算法的地震属性优化方法[J].石油地球物理勘探,2010,45(3):381-383.Huang H D,Zhao D,Zhang R W,et al.Seismic attributeoptimization method based on grey relational analysis andgenetic algorithm[J].Oil Geophysical Prospecting(inChinese),2010,45(3):381-383.
[23]尹成,王治国.明确地质含义的地震准属性的回顾与探讨[J].地球物理学进展,2012,27(5):2024-2032.Yin C,Wang Z G.Review of seismic meta-attribute ofexpressing geological objects[J].Progress in Geophysics(inChinese),2012,27(5):2024-2032.
[24]王咸彬,顾石庆.地震属性的应用与认识[J].石油物探,2004,43(增刊):25-27.Wang X B,Gu S Q.Application and understanding of seismicattribute[J].Geophysical Prospecting for Petroleum(inChinese),2004,43(S1):25-27.
[25]王光明.辽河坳陷大民屯凹陷三台子地区下第三系碎屑岩储层预测研究[J].地球物理学进展,2012,27(3):1143-1153.Wang G M.Lower Paleogene clastic rock reservoir predictingresearch for damintun sag of Liaohe depression in Santaiziarea[J].Progress in Geophysics(in Chinese),2012,27(3):1143-1153.
[26]李胜军,孙成禹,高建虎.地震波数值模拟中的频散压制方法分析[J].石油物探,2008,47(5):444-448.Li S J,Sun C Y,Gao J H.Ayalysis of dipersion suppressionin wave equation numerical simulation[J].GeophysicalProspecting for Petroleum(in Chinese),2008,47(5):444-448.
[27]杨桄,陈克雄,周脉鱼,等.SAR图像中目标的检测和识别研究进展[J].地球物理学进展,2007,22(2):617-621.Yang G,Chen K X,Zhou M Y,et al.Study evolution ofdetection and recognition on target in SAR image[J].Progress in Geophysics(in Chinese),2007,22(2):617-621.
[28]程日辉,李飞,沈艳杰,等.火山岩地层地震反射特征和地震-地质联合解释:以徐家围子断陷为例[J].地球物理学报,2011,54(2):611-619.Cheng R H,Li F,Shen Y J,et al.The seismic reflectionfeatures of volcanic stratum and the seismic-geologicalinterpretation:The case study in Xujiaweizi faulteddepression,Songliao basin[J].Chinese J.Geophys.(inChinese),2011,54(2):611-619.
[29]林昌荣,王尚旭.局部指数拟合异常提取法在普光气田的应用[J].地球物理学报,2011,54(1):218-226.Lin C R,Wang S X.Application of the method of extractinglocal exponential fitting abnormity to Puguang gas field[J].Chinese J.Geophys.(in Chinese),2011,54(1):218-226.
[30]王德利,何樵登,韩立国.裂隙型单斜介质中多方位地面三分量记录模拟[J].地球物理学报,2005,48(2):386-393.Wang D L,He Q D,Han L G.Multi-azimuth three-component surface seismic modeling for cracked monoclinicmedia[J].Chinese J.Geophys.(in Chinese),2005,48(2):386-393.
[31]冯磊,李光明.多属性模糊聚类在辽河滩海沉积相研究中的应用[J].地球物理学进展,2012,27(6):2622-2630.Feng L,Li G M.Application of multi-attribute fuzzyclustering on study of sedimentary facies of Liaohe beach area[J].Progress in Geophysics(in Chinese),2012,27(6):2622-2630.
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