大庆石油地质与开发2018，Vol.37Issue(3)：153-157,5.DOI:10.19597/J.ISSN.1000-3754.201801111
基于支持向量机的时深建模方法
TIME-DEPTH MODELING METHOD BASED ON SVM
摘要
Abstract
In order to solve the problem of time-depth relationship during the seismic data interpretation for the initial offshore exploration,the time-depth modeling method was proposed based on the particle swarm and support vector machines (SVM),and moreover the SVM parameters were optimized by Particle Swarm Optimization (PSO).Firstly the time-depth relationships for each well were obtained by the synthetic seismogram calibration;and then the relationship model between the time and depth was established with the help of SVM method;finally with the help of the model,the conversion was conducted for the T0 contour in the time domain,then the structural map for the depth domain was obtained.The test results of the actual logging data and 3D seismic data show that the time-depth relationship model built by the method is suitable to the whole study area,and moreover the errors are pretty small between the inverted depth in the time domain and the well separated depth and the structural depth.In a word,the model can meet the precision requirements of the fine structure interpretation.关键词
地震资料解释/粒子群算法/支持向量机/时深关系建模Key words
seismic data interpretation/PSO/SVM/time-depth relationship modeling分类
天文与地球科学引用本文复制引用
袁航,谢玮,毕臣臣,岳占伟,刘伟,刘学清..基于支持向量机的时深建模方法[J].大庆石油地质与开发,2018,37(3):153-157,5.基金项目
国家科技重大专项“前陆冲断带及复杂构造地震成像关键技术与构造圈闭刻画”(2016ZX05003-003)和中国石油化工集团公司项目“基于绕射波成像的缝洞储集体预测技术研究”(JP16033)联合资助. （2016ZX05003-003）
