倾角扫描地震纹理对比度属性研究及应用
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摘要
首先介绍了常规地震图像纹理对比度属性分析及在断层检测应用中的不足,然后提出了基于倾角扫描的地震图像纹理对比度属性的改进方法,并进行了实际资料处理。实验结果表明:与改进前的纹理对比度属性和相干属性相比较,改进后的地震纹理对比度属性在地层倾斜时更能清楚地识别断层特征。
This paper firstly introduces the attribute analysis of the conventional seismic texture contrast and the shortage of its application in fault detection,and then proposes the improvement method of seismic texture contrast attribute with dip sweeping.Based on the actual seismic data,the laboratory results show that the improved seismic texture contrast attribute could clearly identify the fault characteristics,compared with the conventional seismic texture contrast and the coherence attribute.
This paper firstly introduces the attribute analysis of the conventional seismic texture contrast and the shortage of its application in fault detection,and then proposes the improvement method of seismic texture contrast attribute with dip sweeping.Based on the actual seismic data,the laboratory results show that the improved seismic texture contrast attribute could clearly identify the fault characteristics,compared with the conventional seismic texture contrast and the coherence attribute.
引文
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[5]崔世凌,张军华,王伟.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 Shiling,Zhang Junhua,Wang Wei.Fault identification based onseismictextureattributesintheworkarea JJD[J].Computing Techniquesfor Geophysical and Geochemical Exploration,2010,32(3):304-309.
[6]王西文,杨孔庆,周立宏.基于小波变换的地震相干体算法研究[J].地球物理学报,2002,45(6):847-852.Wang Xiwen,Yang Kongqing,Zhou Lihong.Methods of calculatingcoherence cube on the basis of wavelet transform[J].Chinese JournalGeophysics,2002,45(6):847-852.
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[8]冯建辉,杨玉静.基于灰度共生矩阵提取纹理特征图像的研究[J].北京测绘,2007,20(3):19-22.Feng Jianhui,Yang Yujing.Study of texture images extraction based ongray level cooccurence matrix[J].Beijing Surveying and Mapping,2007,20(3):19-22.
[9]Gao D.Method for analyzing and classifying three dimensional seismicinformation:US,6226596[P].2001-05-01.
[10]Marfurt K J.Robust estimates of 3D reflector dip and azimuth[J].Geophysics,2006,71(4):29-40.
[2]West B P,May S R,Eastwood J E.Interactive seismic facies classificationusing textureal attributes and neural networks[J].The Leading Edge,2002,21(10):1042-1052.
[3]Chopra S,Alexeev V.Applications of texture attribute analysis to 3Dseismic data[J].The Leading Edge,2006,25(8):934-940.
[4]Gao D.Volume texture extraction for 3D seismic visualization andinterpretation[J].Geophysics,2003,68(4):1294-1302.
[5]崔世凌,张军华,王伟.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 Shiling,Zhang Junhua,Wang Wei.Fault identification based onseismictextureattributesintheworkarea JJD[J].Computing Techniquesfor Geophysical and Geochemical Exploration,2010,32(3):304-309.
[6]王西文,杨孔庆,周立宏.基于小波变换的地震相干体算法研究[J].地球物理学报,2002,45(6):847-852.Wang Xiwen,Yang Kongqing,Zhou Lihong.Methods of calculatingcoherence cube on the basis of wavelet transform[J].Chinese JournalGeophysics,2002,45(6):847-852.
[7]Chopra S,Marfurt K J.Seismic attributes:a historical perspective[J].Geophysics,2005,70(5):3-28.
[8]冯建辉,杨玉静.基于灰度共生矩阵提取纹理特征图像的研究[J].北京测绘,2007,20(3):19-22.Feng Jianhui,Yang Yujing.Study of texture images extraction based ongray level cooccurence matrix[J].Beijing Surveying and Mapping,2007,20(3):19-22.
[9]Gao D.Method for analyzing and classifying three dimensional seismicinformation:US,6226596[P].2001-05-01.
[10]Marfurt K J.Robust estimates of 3D reflector dip and azimuth[J].Geophysics,2006,71(4):29-40.
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