多点地质统计学在三角洲相储层建模中的应用  

Application of Multiple Point Geostatistics in Delta Reservoir Stochastic Modeling

作　　者：李康[1] 李少华[1] 王浩宇[1] 王勇标 李君[1] 易雪斐[1] 

机构地区：[1]长江大学地球科学学院,武汉430000 [2]中海石油(中国)有限公司湛江分公司,广东湛江524057

出　　处：《重庆科技学院学报（自然科学版）》2014年第5期53-55,63,共4页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

基　　金：国家自然科学基金项目(41272136);国家科技重大专项(2011ZX05011-001)

摘　　要：基于两点统计的序贯指示模拟方法是一种常用的相建模方法,在少井的情况下刻画变量空间相关性的变差函数较难求取。多点地质统计学建模方法通过扫描训练图像获取变量的空间相关性,能够充分利用地质学家的经验,为少井条件下相建模提供了一种有效手段。介绍多点地质统计学的基本理论及常用的单一平衡方程模拟(SNESIM)算法,利用Snesim算法在南海北部湾盆地X井区进行实例研究,并与序贯指示模拟结果进行对比。结果表明,在三角洲储层沉积相建模中,该方法在刻画砂体形态上比传统的建模方法更具优越性。Sequential indicator simulation based on two point geostatistics is the common method to set up facies model. While, it is hard to calculate the variation function, which is used to describe the spatial correlation in less well condition. Multiple point geostatistics modeling uses scanning training image to gain the spatial correlation of variables, and combined with the experience of geologists. So it is a good way for facies model in less well condi- tion. This paper presents the principle of multiple point geostatistics and SNESIM algorithms, and simulates the sand distribution of a braided delta reservoir in X well area of Beibuwan basin, South China Sea. The implementa- tions are compared with those got from sequential indicator simulation. The results show that this method is better than the traditional modeling methods in characterizing the forms of sand bodies in delta reservoir.

关 键 词：多点地质统计学 三角洲相储层 训练图像 Snesim算法 相建模 

分 类 号：P618.13[天文地球—矿床学]