一种基于GHT的裂缝检测新方法
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摘要
为了克服常规基于不连续检测的裂缝预测方法受噪声影响较大的缺点,本文通过引入二维保边去噪技术,提出了一种基于广义希尔伯特变换(GHT)的裂缝检测新方法。该方法通过提取三维叠后地震资料的时间振幅切片,先对振幅切片进行保边去噪处理,再优选时窗和阶次进行频率域加窗希尔伯特变换计算,最后利用解析信号的振幅信息进行裂缝预测。实际资料的计算结果表明,本文提出的基于GHT的裂缝检测方法不仅具有很强的抑制噪声能力,而且具有很高的裂缝检测精度,可以有效地预测构造裂缝、溶蚀孔洞等形成的裂缝发育带的分布特征,检测结果与常规的应力场分析数据及钻井资料相吻合。
In order to overcome the shortcoming that there is large influence of noise on the conventional non-continuous detection-based fractural prediction method and by introducing 2-D edge-preserved smoothing technique,the paper presented a new generalized Hilbert transform-based fractural detection method (GHT),which first carried out edge-preserved smoothing processing of amplitude slice by extracting amplitude slice of 3-D poststack seismic data in time domain,then implemented windowing Hilbert transform in frequency domain by optimizing window and order,and finally using the amplitude information of analytic signal to predict fracture. The computing results of practical data showed the GHT-based fractural detection method presented by the paper is characteristics having not only strong noise-suppressed capacity but also higher precision of fractural detection,which is able to effectively predict distribution feature of structural fracture and fracture formed by karst pore and cave,the detected results and analytic data of conventional stress field are coincident to drilling data.
In order to overcome the shortcoming that there is large influence of noise on the conventional non-continuous detection-based fractural prediction method and by introducing 2-D edge-preserved smoothing technique,the paper presented a new generalized Hilbert transform-based fractural detection method (GHT),which first carried out edge-preserved smoothing processing of amplitude slice by extracting amplitude slice of 3-D poststack seismic data in time domain,then implemented windowing Hilbert transform in frequency domain by optimizing window and order,and finally using the amplitude information of analytic signal to predict fracture. The computing results of practical data showed the GHT-based fractural detection method presented by the paper is characteristics having not only strong noise-suppressed capacity but also higher precision of fractural detection,which is able to effectively predict distribution feature of structural fracture and fracture formed by karst pore and cave,the detected results and analytic data of conventional stress field are coincident to drilling data.
引文
[1]周家尧.裂缝性油气藏勘探论文集.北京:石油工业出版社,1991
[2]Bahorich M,Farmer S.3-D seismic discontinuity for fault and stratigraphic features:The coherence cube.The Leading Edge,1995,14(10):1053～1058
[3]高静怀,汪文秉,朱光明.小波变换与信号瞬时特征分析.地球物理学报,1997,40(6):421～432
[4]何建军,贺振华,黄德济.致密砂岩储层裂缝发育带的检测和识别.成都理工大学学报,2004,31(6):713～716
[5]孙夕平,杜世通.边缘检测技术在河道和储层小断裂成像中的应用.石油物探,2003,42(4):469～476
[6]Luo Yi,Marhoon M.Edge-presercing smoothing and application.The Leading Edge,2002,21(2):136～141
[7]Luo Yi,Saleh A D,Mohammad A.Generalized Hil-bert Transform and its applications.The Leading Edge,2003,22(3):198～202
[8]贺振华,黄德济.裂缝油气藏地球物理预测.成都:四川科技出版社,2007
[2]Bahorich M,Farmer S.3-D seismic discontinuity for fault and stratigraphic features:The coherence cube.The Leading Edge,1995,14(10):1053～1058
[3]高静怀,汪文秉,朱光明.小波变换与信号瞬时特征分析.地球物理学报,1997,40(6):421～432
[4]何建军,贺振华,黄德济.致密砂岩储层裂缝发育带的检测和识别.成都理工大学学报,2004,31(6):713～716
[5]孙夕平,杜世通.边缘检测技术在河道和储层小断裂成像中的应用.石油物探,2003,42(4):469～476
[6]Luo Yi,Marhoon M.Edge-presercing smoothing and application.The Leading Edge,2002,21(2):136～141
[7]Luo Yi,Saleh A D,Mohammad A.Generalized Hil-bert Transform and its applications.The Leading Edge,2003,22(3):198～202
[8]贺振华,黄德济.裂缝油气藏地球物理预测.成都:四川科技出版社,2007
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