泰森多边形在地质数据去丛聚中的应用  

THE APPLICATION OF THIESSEN POLYGEN TO THE DECLUSTERING EFFECT OF GEOLOGICAL DATA

作　　者：李少华[1] 刘远刚[1] 王延忠[2] 

机构地区：[1]长江大学地球科学学院,湖北荆州434023 [2]中国石油化工股份有限公司胜利油田分公司地质科学研究院,山东东营257000

出　　处：《物探与化探》2011年第4期562-564,共3页Geophysical and Geochemical Exploration

基　　金：国家科技重大专项(2011ZX05011-001);湖北省自然科学基金项目(2010CDB04302)资助

摘　　要：钻井总是被优先设计在有利储层的部位,导致获取的地质数据分布不均匀。为了使地质数据的统计结果更客观地反映实际情况,需要对地质数据进行去丛聚处理,其核心思想就是给密集的数据赋较小的权值,给稀疏的数据赋较大的权值。笔者用泰森多边形法求取钻井的控制范围,以此确定该井数据统计时的权值大小,为多边形去丛聚法中多边形的确定提供了新思路。应用本方法对石南油田某井区的孔隙度分布进行了分析,验证了该方法的可行性。Wells are always drilled in areas with a relatively great probability of good reservoir quality.The data from these well sources are distributed asymmetrically in the interesting area.Usually,some data are spatially clustered.It is necessary to correct this preferential clustering before making statistics.This paper introduces the Thiessen polygon method to determine spatial affecting sphere of each well and provides a new idea to solve the problem of determining polygon for the polygonal declustering method.A case study in the Shinan oil field is presented.The research result shows that this method is feasible.

关 键 词：泰森多边形 非均质性 地质数据 去丛聚 

分 类 号：P631.4[天文地球—地质矿产勘探] TP274[天文地球—地质学]