分形理论在地震属性异常识别中的尝试  

Attempt to Identify Seismic Attribute Anomalies with Fractal Theory

作　　者：王志龙[1] 太文龙[1] 黄孝斌[2] WANG zhi-long, TAI Wen-long, HUANG Xiao-bin （1. Department of Basic Teaching, The Engineering ＆ Technical College of Chengdu University of Technology, Leshan 614000 ,China; 2. Department of Resources Prospecting and Civil Engineerin, The Engineering ＆ Technical College of Chengdu University of Technolo- gy, Leshan 614000,China）

机构地区：[1]成都理工大学工程技术学院基础部,四川乐山614000 [2]成都理工大学工程技术学院资源勘查与土木工程系,四川乐山614000

出　　处：《电脑知识与技术》2012年第8期5431-5433,5500,共4页Computer Knowledge and Technology

摘　　要：地震属性中包含着大量有关地下结构的信息，但是，传统的地震属性是基于线性模型，不能准确地描述具有非线性特征的地震信号。该文尝试将分形理论引入到地震数据的处理中，有效地识别了地下油气异常，具有一定的参考价值。Seismic attribute contains a great deal of information of underground structures. Traditionally, however, the seismic attributes is based on the linear model, which can not describe the nonlinear characteristics of the seismic signals accurately. This paper attempts to intro- duce the fractal theory to seismic data processing, and identified the underground oil and gas anomalies effectively, with some reference value.

关 键 词：地震勘探 分形 属性提取 异常圈定 

分 类 号：TP301[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]