田志^1,2,,
肖立志^1,,,
廖广志¹,
董虎³,
田守嶒¹,
宋先知¹
1. 油气资源与探测国家重点实验室, 中国石油大学(北京), 北京 102249
2. 中国石油辽河油田分公司勘探开发研究院, 辽宁盘锦 124010
3. 中国石油大学(北京)数岩科技联合研究院, 北京 102249

基金项目: 国家自然科学基金(21427812, 41674137, 41504101), "111"创新引智基地(B13010)联合资助


详细信息

作者简介: 田志, 男, 1992年生, 主要从事数字岩石物理研究.E-mail:tianzhicup@foxmail.com

通讯作者: 肖立志, 男, 1962年生, 教授, 主要从事核磁共振、数字岩石物理等方面研究及教学工作.E-mail:xiaolizhi@cup.edu.cn, lizhi_xiao@fas.harvard.edu

中图分类号: P631

收稿日期:2017-07-28
修回日期:2018-11-19
上线日期:2019-01-05

Study on digital rock reconstruction method based on sedimentological process

TIAN Zhi^1,2,,
XIAO LiZhi^1,,,
LIAO GuangZhi¹,
DONG Hu³,
TIAN ShouCeng¹,
SONG XianZhi¹
1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China
2. Exploration and Development Research Institute of Liaohe Oilfield Company, Liaoning Panjin 124010, China
3. iRock Technologies, Beijing 102249, China


More Information

Corresponding author: XIAO LiZhi,E-mail:xiaolizhi@cup.edu.cn; lizhi_xiao@fas.harvard.edu

MSC: P631

--> Received Date: 28 July 2017
Revised Date: 19 November 2018
Available Online: 05 January 2019


摘要
摘要:本文提出模拟地层沉积及成岩过程的矿物沉积算法，建立数字岩石模型，并通过对比Micro-CT扫描图像和数值模型的局部孔隙度及平均渗流概率函数分布特征，评价建模的准确性.结果表明，由二维扫描提取的粒径信息作为输入参数，模拟矿物沉积过程建模得到的三维数字岩石模型，能够准确重构原始岩心的非均质性及渗流特性，成功应用于泥质砂岩、碳酸盐岩、页岩等存在多矿物或多尺度孔隙的数字岩石建模中.数字岩石物理是正在兴起的重要技术.数字岩石采用超高分辨率先进成像装备，采集和表征微纳尺度岩石结构，在岩石弹性、电性、核磁、渗流特性等数值计算中发挥重要作用.但是，由于三维直接成像在有限视域内难以表征足够的岩石非均质性，提取二维结构统计特征，利用统计或地质过程法重构具有代表性的三维岩石结构成为十分有价值的研究课题，而且，对业界大量存在的岩石薄片及电镜高清二维图像的深度开发应用也具有重要的现实意义.本文发展的新方法，复原沉积过程，较好地解决了孔隙尺度岩石物理定量研究中数值建模与理论计算的技术瓶颈.
关键词: 数字岩石/
矿物沉积/
多尺度/
过程法

Abstract:Digital Rock Physics (DRP) is widely used to accurately characterize pore structures and mineral distributions of hydrocarbon bearing rocks based on their three-dimensional (3D) images at micro-and nano-meter scales. It also plays an important role to numerically calculate rock elasticity, formation factor, permeability and simulate multi-phase flow properties etc. However, 3D images are not always readily available for reservoir rocks and it is sometimes difficult to satisfy modeling requirements to cover heterogeneity due to limited rock volumes captured in 3D.Therefore, 3D reconstruction methods become alternative approaches to model porous rocks. Comparing with statistical methods, geological process based reconstruction has proved itself to be successful to reproduce sandstone structures. In this paper, we developed a method to improve the existing models with more realistic sedimentological processes and extend it to reconstruct shaly sandstone, carbonate rocks and shale by introducing more mechanism of diagenesis.The grain size distribution is extracted from a slice of 2D Micro-CT images using watershed segmentation algorithm; and then it is used as initial input information for the 3D reconstruction.The accuracy of modeling is evaluated by comparing their local porosity distributions and average percolation probability function distributions of the 3D digital rock images obtained by Micro-CT imaging. The results show that our reconstruction can accurately reproduce heterogeneity and percolation characteristics of original Micro-CT images, which provide geologically realistic rock models for petrophysical studies.
Key words:Digital rock/
Mineral sedimentation/
Multi-scale/
Process based method



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