摘要
地震属性的解释可获取有关地层的断层、裂缝及岩性变化的重要特征信息。文中提出了边缘检测属性,该属性是利用图像处理中边缘检测方法对振幅属性进行处理得到的新地震属性,该属性可用于岩性识别。首先,通过实际的数学模型验证边缘检测方法识别边界的可行性及能力。利用几种经典的边缘检测方法,结合实际地震资料进行综合分析研究,发现Sobel属性能较好地突出属性图像的边界,砂岩与泥岩区得到区别,并得到了钻测井资料验证。在研究区的应用中,新属性可以较好地区分砂泥岩边界,减少了单一利用属性划分砂体造成的误差,对提高砂体识别精度以及勾绘砂体展布具有重要意义。
Some important informations of fault, fracture, lithology and facies change can be acquired through the interpretation of seismic attributes. This paper put forward edge detection attribute. The attribute is that new seismic attribute can be obtained by the processing of amplitude attribute through the using of edge detection method during image processing. The attribute can be applied fi^r lithlology identification. Feasibility of the method in identifying boundary is verified through the verification of edge detection method with actual mathematical model to identify tile boundary. Based on several classical edge detection methods and combined with actual seismic data, it is found that the Sobel attribute can reflect the image boundary. Sandstone and mudstone are distinguished on the basis of the verification of drilling data and well logging data. Application of new attrihute can distinguish the boundary of sandstone and mudstone, can decrease the errors creased by the attribute subdivision, which has an impurtant significance in improving sandhudy identification precision and describing sandbody distribution.
出处
《断块油气田》
CAS
2013年第3期286-288,共3页
Fault-Block Oil & Gas Field
基金
国家自然科学基金项目"微震监测微地震监测中波场特征与数据处理方法"(41074104)
国家重点基础研究发展计划(973)项目"南海深水区域地震特征响应研究"(2009CB219404)
关键词
边缘检测属性
数学模型
中值滤波
砂体识别
edge detection attribute
mathematical model
median filtering
sandbody identification
