边缘检测方法在透镜体地层识别中的应用

随着油气勘探的不断深入,岩性油气藏的勘探越来越受到人们的重视,透镜体油气藏的勘探开发也日益受到青睐。文中正演模拟了透镜体油气藏的模型,并通过处理得到叠后地震剖面,然后,分别采用基于小波变换的极大值边缘检测方法与Prewitt算子图像边缘检测技术,对透镜体的位置及其边界进行识别。通过研究发现,基于小波变换的极大值边缘检测,能较好地识别透镜体的边缘及其展布,对透镜体油气藏的识别效果更好,这将为今后地震解释提供一个得力工具。

Application of edge detection method in recognition of lens formation

With the continuous increasing of petroleum exploration, more and more attention has been given to the exploration of lithologic hydrocarbon reservoir, and the exploration of lens reservoir is no exception. At first, this paper conducts the forward modeling for the model of lens reservoir anti the poststack seismic section is obtained through the processing. Then, the position and boundary of lens are identified by using the maximum value edge detection method, which is based on wavelet transform, and Prewitt operator graph edge detection technology respectively. Study results show that the maximum value edge detection method, which is based on wavelet transform, has better effect on the identification of lens reservoir. It can recognize the edge and distribution of lens. This method will provide a powerful tool for the seismic interpretation in future.