多尺度边缘检测技术在低级序断层识别中的应用
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摘要
低级序断层具有延伸短、断距小的特点,加之复杂断块的断裂系统复杂,地震资料品质差,信噪比低,因此利用常规地震资料对低级序断层进行识别和组合的效果不是很理想。研究主要是利用基于小波变换的多尺度边缘检测技术对低级序断层的识别进行讨论。通过在复杂断块X15断块的应用结果表明:基于小波变换的多尺度边缘检测技术可以对复杂断块的低级序断层进行正确识别,从而为解决一些长期困扰开发地质人员的问题,为剩余油富集和分布的研究提供了非常宝贵的基础资料,为开发上的完善注采系统、合理井网加密提供依据。
Low-level sequence faults had the characteristics of short expansion and small fault distances and as well as complex fracturing system of a complex fault with poor quality of seismic data and low signal-noise ratio,therefore identification and combination of low-level sequence was not very effective by using conventional seismic data. The identification of the low-level sequence faults by using multiscale edge detection techniques based on wavelet transform. The application results of complex Fault Block X15 show that,multi-scale edge detection technology based on wavelet transform can correctly identify the low-level sequence faults block,therefore,it can solve a long troubled problem for reservoir development,provide basic information for studying the remaining oil accumulation and distribution and for perfecting and infilling the injection-producing well patterns.
Low-level sequence faults had the characteristics of short expansion and small fault distances and as well as complex fracturing system of a complex fault with poor quality of seismic data and low signal-noise ratio,therefore identification and combination of low-level sequence was not very effective by using conventional seismic data. The identification of the low-level sequence faults by using multiscale edge detection techniques based on wavelet transform. The application results of complex Fault Block X15 show that,multi-scale edge detection technology based on wavelet transform can correctly identify the low-level sequence faults block,therefore,it can solve a long troubled problem for reservoir development,provide basic information for studying the remaining oil accumulation and distribution and for perfecting and infilling the injection-producing well patterns.
引文
[1]王军,戴俊生.复杂断块内低级序断层的预测方法[J].西部探矿工程,2006,(增刊):164~166.
[2]夏冰.地震新技术在低级序断层识别中的应用[J].断块油气田,2007,14(2):24~26.
[3]杨恒,梁德群.基于边缘视觉特征描述的自适应多尺度小波边缘检测方法[J].电子科学学刊,1998,20(6):138~164.
[4]赵世尊,许永忠,董宋华.二维小波变换对水平切片进行图像处理方法研究[J].物探化探计算技术,1998,20(2):43~46.
[5]程正兴.小波分析算法与应用[M].西安:西安交通大学出版社,1998.
[6]贺振华,黄捍东,胡光岷,等.地下介质横向变化的地震多尺度边缘检测技术[J].物探化探计算技术,1999,21(4):289~294.
[7]Canny J.Acomputational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679~683.
[2]夏冰.地震新技术在低级序断层识别中的应用[J].断块油气田,2007,14(2):24~26.
[3]杨恒,梁德群.基于边缘视觉特征描述的自适应多尺度小波边缘检测方法[J].电子科学学刊,1998,20(6):138~164.
[4]赵世尊,许永忠,董宋华.二维小波变换对水平切片进行图像处理方法研究[J].物探化探计算技术,1998,20(2):43~46.
[5]程正兴.小波分析算法与应用[M].西安:西安交通大学出版社,1998.
[6]贺振华,黄捍东,胡光岷,等.地下介质横向变化的地震多尺度边缘检测技术[J].物探化探计算技术,1999,21(4):289~294.
[7]Canny J.Acomputational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679~683.
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