地质统计学储层建模发展述评

doi:10.11885/j.issn.16745086.2017.01.22.01

西南石油大学学报(自然科学版) ›› 2017, Vol. 39 ›› Issue (5): 61-69.DOI: 10.11885/j.issn.16745086.2017.01.22.01

地质统计学储层建模发展述评

黄小娟^1,2, 李治平^1,2, 周光亮³, 刘倩⁴, 李洪^1,2

1. 中国地质大学能源学院, 北京海淀 100083;
2. 中国地质大学“非常规天然气地质评价与开发工程”北京市重点实验室, 北京海淀 100083;
3. 中国石油西南油气田分公司川西北气矿, 四川江油 621700;
4. 北京恺标技术发展有限公司, 北京海淀 100083

收稿日期:2017-01-22 出版日期:2017-10-01 发布日期:2017-10-01
作者简介:黄小娟,1973年生,女,汉族,湖南邵阳人,博士,主要从事储层建模、油气田开发工程方面的研究工作。E-mail:huangxj@cugb.edu.cn;李治平,1963年生,男,汉族,四川泸州人,教授,主要从事油气田开发理论与开采方法、非线性油气层渗流力学理论与应用、油藏数值模拟方法及软件开发等方面的研究工作。E-mail:2002011671@cugb.edu.cn;周光亮,1986年生,男,汉族,四川江油人,工程师,主要从事气藏工程及气田开发生产规划管理等方面的工作。E-mail:zhouguangliang@petrochina.com.cn;刘倩,1988年生,女,汉族,内蒙古鄂尔多斯人,硕士,主要从事储层建模、油气田开发地质方面的研究工作。E-mail:175887108@qq.com;李洪,1989年出生,男,汉族,四川眉山人,博士,主要从事油气田开发理论与开采方法、油藏数值模拟方法及软件开发方面的研究工作。E-mail:lihongcosa@163.com
基金资助:
国家科技重大专项（2017ZX05009-005）；北京市自然科学基金（3162026）

A Review of Geostatistical Reservoir Modeling Development

HUANG Xiaojuan^1,2, LI Zhiping^1,2, ZHOU Guangliang³, LIU Qian⁴, LI Hong^1,2

1. School of Energy Resources, China University of Geosciences, Haidian, Beijing 100083, China;
2. Beijing Key Laboratory of Unconventional Natural Gas Geology Evaluation and Development Engineering, China University of Geosciences, Haidian, Beijing 100083, China;
3. Northwest of Sichuan Gas Field, Southwest Oil & Gasfield Company, PetroChina, Jiangyou, Sichuan 621700, China;
4. Beijing Kaibiao Technology Development Co. Ltd., Haidian, Beijing 100083, China

Received:2017-01-22 Online:2017-10-01 Published:2017-10-01
Contact: 李治平,E-mail:2002011671@cugb.edu.cn

摘要/Abstract

摘要： 两点地质统计学储层建模通过变差函数确定随机变量的相关关系，解决了地质变量的空间线性插值问题，借助在不同方向上定义的独立变差函数，这种插值算法还能表征地质变量的各向异性。多点地质统计学（MPS）模拟主要有基于像素的模拟和基于样式的模拟等两大类算法，根据对样式分类与模拟过程的差异，又可将基于样式的模拟算法分为直接模拟算法、基于过滤器的模拟算法和基于距离的模拟算法。从地质统计学的算法演化角度出发，总结了两点地质统计学和MPS算法及其适用性；以图像识别为基础， MPS在识别沉积体中薄的非渗透夹层、集成生产数据、模拟井间储层连续性及裂缝分形特征模拟等方面拓展了两点地质统计学的研究领域。

关键词: 地质统计学, 储层, 裂缝, 夹层, 图像识别, 建模

Abstract: Two-point geostatistical reservoir modeling uses a variogram to confirm the correlation between random variables, solving the issue of spatial linear interpolation of geological variables. With an independent variation function defined for different directions, this type of interpolation algo-rithm can even characterize the anisotropy of geological variables. Multiplepoint geostatistics simulation (MPS) uses two major types of algorithms:pixel-based simulation and pattern-based simulation. Based on the differences of the pattern classification and simulation process, we can further classify the pattern-based simulation algorithms into direct, filter-based, and distance-based algorithms. Based on geostatistical algorithm evolution, we summarized the two-point geo-statistics and MPS algorithms and their application. Based on image identification, the MPS expands the two-point geostatistics research field, identifying thin and impermeable interbeds in sedimentary bodies, integrating production data, simulating the continuities of interwell reservoirs, and simulating the fractal characteristics of fractures.

Key words: geostatistics, reservoir, fracture, interbed, image identification, simulation

中图分类号:

TE12

黄小娟, 李治平, 周光亮, 刘倩, 李洪. 地质统计学储层建模发展述评[J]. 西南石油大学学报(自然科学版), 2017, 39(5): 61-69.

HUANG Xiaojuan, LI Zhiping, ZHOU Guangliang, LIU Qian, LI Hong. A Review of Geostatistical Reservoir Modeling Development[J]. 西南石油大学学报(自然科学版), 2017, 39(5): 61-69.

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地质统计学储层建模发展述评

A Review of Geostatistical Reservoir Modeling Development

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