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裂缝密度约束的离散裂缝网络建模方法与实现
投稿时间:2018-01-19  修订日期:2018-05-14  点此下载全文
引用本文:董少群,曾联波,曹菡,XU Chaoshui,王圣娇.2018.裂缝密度约束的离散裂缝网络建模方法与实现[J].地质论评,64(5):1302-1314
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作者单位E-mail
董少群 1)油气资源与探测国家重点实验室中国北京1022492)中国石油大学(北京)地球科学学院中国北京102249 dshaoqun@163.com 
曾联波 1)油气资源与探测国家重点实验室中国北京1022492)中国石油大学(北京)地球科学学院中国北京102249 lbzeng@sina.com 
曹菡 3)中国科学院遥感与数字地球研究所, 中国北京, 100094  
XU Chaoshui 4)阿德莱德大学土木、环境和采矿工程学院澳大利亚阿德莱德5005  
王圣娇 1)油气资源与探测国家重点实验室中国北京1022492)中国石油大学(北京)地球科学学院中国北京102249  
基金项目:本文为石油化工联合基金项目(编号:U1663203)与国家科技重大专项(编号:2017ZX05013004)的成果。
中文摘要:如何高效地用多种类型资料(如地震、测井、岩芯等)所得到的裂缝信息对离散裂缝网络建模至关重要。为此本文提出一种裂缝密度约束的离散裂缝网络建模方法,将多种裂缝先验信息转换为裂缝密度,通过密度约束裂缝网络模型。方法对裂缝位置的确定方法进行改进,从编程的角度对二维和三维实现进行了分析,同时讨论了方法的适用性及参数设定。为验证方法效果,实例分析部分选用鄂尔多斯盆地延河剖面附近的一井区数据进行裂缝建模,并与实际生产资料进行比对,结果表明该方法所建立的裂缝模型与实际生产数据吻合。
中文关键词:离散裂缝网络  裂缝密度  裂缝建模  测井  参数设定
 
Principle and Implementation of Discrete Fracture Network Modeling Controlled by Fracture Density
NameInstitution
DONG Shaoqun1)State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing) , Beijing, 102249,China; College of Geosciences, China University of Petroleum (Beijing), Beijing, 102249,China
ZENG Lianbo1)State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing) , Beijing, 102249,China; College of Geosciences, China University of Petroleum (Beijing), Beijing, 102249,China
CAO Han3)Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094,China
XU Chaoshui4)School of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, 5005,Australia
WANG Shengjiao1)State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing) , Beijing, 102249,China; College of Geosciences, China University of Petroleum (Beijing), Beijing, 102249,China
Abstract:Objectives:Distribution of fracture is crucial for the development of tight reservoir. Discrete fracture network modeling is the commonest method for fracture modeling. During the oil and gas reservoir exploration and development, many types of data (such as seismic, logging and core) can be obtained to calculate the fracture density as the constraint condition of discrete fracture network modeling. How to make good use of these constraints is important for making an effective fracture model. So a method of discrete fracture network fracture constrained by fracture density is introduced.Methods: Based on discrete fracture network modeling using marked point process, the proposed method tries to improve the fracture position determination algorithm. The implementation is revising the pointing process controlled by fracture density. The fracture density constraint in this paper is obtained by sequential Gaussian simulation using logging data and the stress field numerical model. This paper introduces the implementation of the method in 2D and 3D from the respect of programming implementation. In the meanwhile, the applicability of the method and parameters setting of the method are discussed, too.Results:In order to verify the efficiency of the method, the case study chooses a practical well block near Yanhe profile to implement fracture modeling. The results show that the fracture model is in good agreement with the actual production data.Conclusions:From the result that the fracture model built by the proposed method agreed with the actual production data, the conclusion is drawn that the proposed method is suitable for fracture modeling in the tight reservoir.
keywords:discrete fracture network, fracture density, fracture modeling, well log, parameter determination
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