基于改进DNA算法的地震层位拾取技术  

Seismic horizon picking technology based on improved DNA algorithms

作　　者：张子良 李振春[1] 张凯[1] 赵硕 王非翊 ZHANG Ziliang;LI Zhenchun;ZHANG Kai;ZHAO Shuo;WANG Feiyi(School of Geosciences in China University of Petroleum(East China),Qingdao 266580,China;Shandong Provincial Key Laboratory of Depositional Mineralization&Sedimentary Mineral,Shandong University of Science and Technology,Qingdao 266590,China)

机构地区：[1]中国石油大学(华东)地球科学与技术学院,山东青岛266580 [2]山东科技大学山东省沉积成矿作用与沉积矿产重点实验室,山东青岛266590

出　　处：《中国石油大学学报（自然科学版）》2020年第5期39-45,共7页Journal of China University of Petroleum(Edition of Natural Science)

基　　金：中央高校基本科研业务费专项(18CX06028A);中国石油天然气集团有限公司重大科技项目(ZD2019-183-003);国家重点研发计划(2019YFC0605500)。

摘　　要：针对常规地震DNA算法难以设置正确的搜索基因,并且拾取出的地震层位可能出现过于散乱、连续性不强的现象等问题,在保证搜索基因高效合理的前提下,提出复式五点采样的方法建立基因库,减少人为干预。应用基于互相关的二级窗式算法判断相邻两基因片段是否来自同一层位,并用三次样条插值连接同一层位,使拾取出的层位具有更好的连续性和实用性。结果表明:本方法拾取出的层位效率更高,同相轴更完整,减少了人为误差;由于本方法是全局识别,较之传统地震同相轴追踪技术,易于推广到三维数据。For conventional seismic DNA algorithms,it is difficult to set the correct search gene,which results in scattered seismic horizons which lack strong spatial continuity.Under the premise of ensuring an efficient and reasonable search gene,this paper proposes a multiplex five-point sampling approach to establish the gene bank,which reduces subjective human intervention.Based on the cross-correlation of a two-level window algorithm,this application first determines whether two adjacent gene fragments come from the same horizon;a cubic spline interpolation is then used to connect the same horizon.Subsequently the picked horizon has better continuity and practicability.The results show that this method is more efficient and in-phase axis is more complete.The improved method reduces human errors,and is easily transferable to three-dimensional data compared with traditional seismic event tracking technology.

关 键 词：地震DNA算法 复式五点采样 二级窗式 互相关 

分 类 号：P631.4[天文地球—地质矿产勘探]