复杂裂缝网络页岩气藏自适应网格剖分方法

doi:10.7623/syxb201902008

石油学报 ›› 2019, Vol. 40 ›› Issue (2): 197-206.DOI: 10.7623/syxb201902008

复杂裂缝网络页岩气藏自适应网格剖分方法

糜利栋^1,2, 姜汉桥², 胡向阳¹, 李俊键², 胡小虎¹, 周元龙¹, 贾英¹, 严必成³

1. 中国石油化工股份有限公司石油勘探开发研究院北京 100083;
2. 中国石油大学(北京)石油工程学院北京 102249;
3. Texas A&M University Texas 77840

收稿日期:2017-11-28 修回日期:2018-08-24 出版日期:2019-02-25 发布日期:2019-03-05
通讯作者: 糜利栋,男,1987年6月生,2011年获中国石油大学(北京)学士学位,2017年获中国石油大学(北京)博士学位,现为中国石油化工股份有限公司石油勘探开发研究院工程师,主要从事气藏工程方面的工作。Email:cupmld@gmail.com
作者简介:糜利栋,男,1987年6月生,2011年获中国石油大学(北京)学士学位,2017年获中国石油大学(北京)博士学位,现为中国石油化工股份有限公司石油勘探开发研究院工程师,主要从事气藏工程方面的工作。Email:cupmld@gmail.com
基金资助:
国家重点基础研究发展计划(973)项目(2013CB228005)；中国石油化工股份有限公司科技部项目(P16058)和国家自然科学基金项目(No.51804334)资助

An adaptive mesh method for shale gas reservoir with complex fracture networks

Mi Lidong^1,2, Jiang Hanqiao², Hu Xiangyang¹, Li Junjian², Hu Xiaohu¹, Zhou Yuanlong¹, Jia Ying¹, Yan Bicheng³

1. Sinopec Petroleum Exploration and Production Research Institute, Beijing 100083, China;
2. College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China;
3. Texas A & M University, Texas 77840, USA

Received:2017-11-28 Revised:2018-08-24 Online:2019-02-25 Published:2019-03-05

摘要/Abstract

摘要：

网格是油气藏数值模拟的基础,传统网格剖分方法制约着复杂裂缝网络页岩气藏数值模拟技术的发展,研究裂缝性介质高效网格剖分方法具有重要意义。笔者以裂缝节点为基础,基于图像像素点原理、距离最近原则和对数加密方法,提出了一种网格数量少、计算精度高、可以处理任意复杂裂缝网络分布的自适应网格剖分方法(AMM)。研究结果表明,AMM中裂缝网格控制面积比NFFLOW中的控制面积更接近实际情况;AMM可以处理任意复杂裂缝网络和复杂边界条件模型;相比已有网格剖分方法,AMM可大幅度降低计算网格数量。在用于页岩气藏数值模拟时,AMM可以同时解决由复杂裂缝引起计算网格多、精度低等问题,为实现矿场尺度页岩气藏数值模拟奠定基础。

关键词: 网格剖分, 裂缝网络, 自适应, 页岩气藏, 图像处理

Abstract:

The computation mesh is a basic factor for reservoir simulation. The traditional mesh generation method restricts the development of numerical simulation technology of shale gas reservoir with complex fracture network. Therefore, it is of great significance to establish an efficient mesh generation method for fractured medium. On the basis of fracture nodes, an adaptive mesh method (AMM)is established based on the principles of pixel point and distance nearest as well as the logarithmic encryption method. The AMM can handle the arbitrary complex network with a small number of grids, showing high computing precision. The results show that the control area of fractured grid in AMM is closer to the actual situation than that in NFFLOW; AMM can also handle any arbitrary complex fracture network and complex boundary condition model. Compared with the existing mesh method, AMM greatly reduces the number of computational grids. When performing numerical simulation for shale gas reservoirs, AMM can solve the problems such as large amount of computational grids and low precision caused by complex fractures, so as to lay a foundation for the numerical simulation of field-scale shale gas reservoirs.

Key words: mesh generation, fracture grid, adaptable, shale gas reservoir, image processing

中图分类号:

TE319

糜利栋, 姜汉桥, 胡向阳, 李俊键, 胡小虎, 周元龙, 贾英, 严必成. 复杂裂缝网络页岩气藏自适应网格剖分方法[J]. 石油学报, 2019, 40(2): 197-206.

Mi Lidong, Jiang Hanqiao, Hu Xiangyang, Li Junjian, Hu Xiaohu, Zhou Yuanlong, Jia Ying, Yan Bicheng. An adaptive mesh method for shale gas reservoir with complex fracture networks[J]. Acta Petrolei Sinica, 2019, 40(2): 197-206.

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复杂裂缝网络页岩气藏自适应网格剖分方法

An adaptive mesh method for shale gas reservoir with complex fracture networks

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