高技术通讯2018，Vol.28Issue(1)：29-38,10.DOI:10.3772/j.issn.1002-0470.2018.01.005
基于蚁群算法的地震断层识别方法
A seismic fault recognition method based on ant colony optimization
摘要
Abstract
The problem of seismic fault recognition is studied,and aiming at the fact that current recognition techniques' accuracy is lower,a new seismic fault recognition method based on ant colony optimization is proposed.The method can locate faults'position precisely and extract them from seismic sections.Firstly,the method regards seismic ho-rizons as connected components and uses the way of labeling to extract them.Secondly,it finds out the end point in horizontal direction of each seismic horizon.Thirdly, the whole seismic section is divided into several rectangle blocks,taking one top horizontal end point of each rectangle block as the ant nest and one bottom horizontal end -point of each rectangle block as the food in ant colony optimization.Besides that,the seismic profile is regarded as a three dimension terrain, and the seismic sample amplitude value is used to express the hight of some position. The optimal route in each block is the fault,in which the ant starts from the nest to find foods.The simulation certi-fies the proposed method's effectiveness.关键词
断层识别/蚁群算法/地震剖面/连通区域Key words
fault recognition/ant colony optimization/seismic section/connected component引用本文复制引用
叶涛,陈雷,徐刚..基于蚁群算法的地震断层识别方法[J].高技术通讯,2018,28(1):29-38,10.基金项目
青海省自然科学基金(2017-ZJ-912)和青海民族大学网络与信息安全科研创新团队专项资金资助. （2017-ZJ-912）
