中国石油大学学报（自然科学版）2018，Vol.42Issue(3)：12-21,10.DOI:10.3969/j.issn.1673-5005.2018.03.002
基于多点地质统计学的数字岩心建模
Digital core modeling based on multiple-point statistics
摘要
Abstract
There are three commonly used digital core modeling methods: X-ray computed tomography scanning, simulated annealing and process-based method. Although the X-ray computed tomography scanning method can build an accurate 3D digital core model,it is expensive and time-consuming. The simulated annealing and process-based method can reduce the cost and improve the modeling efficiency,but the simulated annealing method cannot effectively characterize the long-range connectivity of the pore structure,and the process-based method is not suitable for simulating the rocks that have undergone complex diageneses. In order to solve these problems,a method of reconstructing digital core model based on multiple-point statistics was proposed. Taking as an example the Berea sandstone of the Waverly group in the Michigan Basin, two repre-sentative volume elements with the size of 1503voxels were extracted from different locations of the Berea sandstone. One was set for the training image,the other for the real model. Two orthogonal two-dimensional slices were chosen from the real mod-el as the conditioning data. The 3D digital rock models were reconstructed using multiple-point statistics. The variogram, pore structure parameters and percolation parameters of single phase flow experiment were applied as the evaluation indexes to validate the accuracy of the reconstructed models.The result shows that the reconstructed models agree well with the real model in the pore-throat geometry and topology features,which verifies the accuracy of the reconstructed models and feasibili-ty of reconstructing digital core model using multiple-point statistics.关键词
数字岩心/多点地质统计学/孔隙结构/变差函数/孔隙网络模型Key words
digital core/multiple-point statistics/pore structure/variogram/pore network model分类
能源科技引用本文复制引用
吴玉其,林承焰,任丽华,闫伟超,王杨,陈仕臻,由春梅,张丽..基于多点地质统计学的数字岩心建模[J].中国石油大学学报（自然科学版）,2018,42(3):12-21,10.基金项目
国家科技重大专项(2016ZX05054012,2017ZX05009001) （2016ZX05054012,2017ZX05009001）
中国石油大学(华东)自主创新科研计划项目(18CX06024A) （华东）
