多点地质统计学在滨海相储层建模中的应用

APPLICATION OF MULTIPLE-POINT GEOSTATISTICS IN OFFSHORE RESERVOIR MODELING

多点地质统计学方法是应用"训练图像"来代替变差函数并采用序贯算法进行随机模拟,综合了基于像元方法的易忠实于条件数据和基于目标方法的易再现目标几何体形态的优点。在对传统的随机建模方法进行综合对比分析基础上,介绍了多点地质统计学的基本原理和方法,并应用该技术首次对南海西部珠江口盆地某区块新近系珠江组一段滨海相储层进行了多点地质随机模拟。结果表明,该方法比传统的随机建模方法更能再现储层空间结构特征,更具有优越性。最后,讨论了多点地质统计学方法目前仍存在的问题和改进的方法。

Multiple-point geostatistics approach uses'training image'to replace variogram and adopt the sequential algorithm to stochastic model,so it combines the advantages of the easy conditioning of pixel-based algorithms and the ability to reproduce object geometry of object-based algorithms.With the analysis of traditional stochastic modeling methods,the paper presents the basic principle and methods of multiple-point geostatistics and SNESIM algorithm,and a case study of offshore reservoir of the Zhujiang Formation of Neogene in a certain block of NanHai West Zhujiangkou basin is made using this technique for the first time.The result indicates that this approach is better than the traditional methods to reproduce the object geometry.Finally,the paper discusses some main problems of this approach,including the training image,object continuity etc.