基于多点地质统计学多数据联合约束的岩相模拟  

Lithofacies simulation based on multi-point geostatistics multiple data joint constraints

作　　者：罗红梅[1,2] 杨培杰[2] 王长江[2] 于静 穆星[2] 

机构地区：[1]中科院地质与地球物理研究所,北京100029 [2]中石化胜利油田分公司地质科学研究院,山东东营257015 [3]中石化地球物理公司胜利分公司,山东东营257086

出　　处：《石油地球物理勘探》2015年第1期162-169,19,共8页Oil Geophysical Prospecting

基　　金：国家科技重大专项"深层油气;非常规天然气成藏规律与有利勘探区评价技术"(2011ZX05008-004)资助

摘　　要：传统的两点地质统计学随机模拟方法基于变差函数,无法再现复杂的地质结构,多点地质统计学利用空间多个点的组合模式来描述地质结构信息,更适合复杂结构地质体的模拟。首先介绍了多点地质统计学的基本概念和方法;然后提出了一种多数据联合约束的多点地质统计学随机模拟方法,并通过模型验证了方法的特点和有效性;最后以该方法为基础,联合训练图像、测井数据和地震反演数据,实现了多数据约束下的东营凹陷沙三段地层中三角洲浊积岩沉积区的岩相模拟,取得了较好的应用效果。Conventional two-point geostatistics(TPG)simulation algorithms,limited to the reproduction of two-point statistics,such as a variogram model,cannot reproduce complex geological structures.The emerging multiple-point geostatistics(MPG)can simulate complicated geological sedimentary characteristics using multiple-point relations.Firstly,basic concept and method of MPG are introduced in the paper.Secondly,a multiple data constraints stochastic simulation is proposed based on the existing algorithms,and its effectiveness is verified by model data.Finally,using training images,well logging data,and seismic inversion data,multiple data joint multiple-points geostatistics lithofacies simulation of Dongying delta is realized based on this algorithm.The proposed method can produce good results and is beneficial for further application.

关 键 词：多点地质统计 岩相模拟 软数据 硬数据 训练图像 联合约束 条件概率 

分 类 号：P631[天文地球—地质矿产勘探]