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裂缝检测与图像分析中的边缘检测有许多相似之处 ,因此 ,能够借助某些边缘检测理论并结合实际地震资料形成有效的裂缝检测方法。作者基于小波多尺度边缘检测理论 ,结合地震波场对裂缝的多尺度特性 ,提出了碳酸盐岩裂缝预测的多尺度边缘检测方法。方法的主要思想是 :利用小波变换模的局部极值 ,检测出三维地震记录裂缝点特征位置 ,并通过调整模值在图像中的灰度 ,自动识别裂缝发育区的范围。实际应用效果表明 ,作者所采用的方法能够较详细的刻画出碳酸盐岩裂缝的局部特征 ,并且裂缝预测结果与钻井资料吻合较好 ,该方法是一种有效的碳酸盐岩裂缝检测方法。
There are many similarities between the edge detection in the crack detection and the image analysis. Therefore, some edge detection theories can be combined with the actual seismic data to form effective crack detection methods. Based on wavelet multiscale edge detection theory and combined with multi-scale characteristics of seismic wave field on fractures, a multi-scale edge detection method for carbonate fracture prediction is proposed. The main idea of this method is to detect the location of crack points in 3D seismic records by using the local extremum of wavelet transform module and automatically identify the range of crack development area by adjusting the gray value of the model in the image. The practical application results show that the method adopted by the author can describe the local characteristics of carbonate fractures in more detail and the prediction results of fractures are in good agreement with the drilling data. This method is an effective method for the detection of carbonate fractures .