论文详情
边缘检测属性应用方法
断块油气田
2013年 20卷 第03期
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Title
Study on application method of edge detection attributes
单位
长江大学油气资源与勘探技术教育部重点实验室,湖北 荆州 434023
长江大学地球物理与石油资源学院,湖北 荆州 434023
Organization
MOE Key Laboratory of Petroleum Resources and Exploration Technology, Yangtze University, Jingzhou 434023, China
College of Geophysics and Oil Resources, Yangtze University, Jingzhou 434023, China
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。
Abstract
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 for lithlology identification. Feasibility of the method in identifying boundary is verified through the verification of edge detection method with actual mathematical model to identify the 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 attribute can distinguish the boundary of sandstone and mudstone, can decrease the errors creased by the attribute subdivision, which has an important significance in improving sandbody identification precision and describing sandbody distribution.
关键词:
边缘检测属性;
数学模型;
中值滤波;
砂体识别;
Keywords:
edge detection attribute;
mathematical model;
median filtering;
sandbody identification;
DOI
10.6056/dkyqt201303004