裂缝性油藏离散裂缝网络模型  

Discrete fracture network model for fractured reservoirs

作　　者：郑松青 张宏方[1] 刘中春[1] 牟雷 

机构地区：[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

出　　处：《大庆石油学院学报》2011年第6期49-54,126,共6页Journal of Daqing Petroleum Institute

基　　金：国家973计划项目(2011CB201000);国家重大专项(2008ZX05014)

摘　　要：与常规碎屑岩储层相比,裂缝性油藏储层非均质性强,表征单元体尺度大,难以用等效连续模型表征,而离散裂缝网络模型可以描述储层任意尺度上的非均质性.从裂缝性储层识别预测技术、建模方法、模型应用等方面对离散裂缝网络模型进行分析,指出其发展趋势依赖3方面技术:(1)在储层识别和预测技术方面,需建立裂缝产状、长度、开度等属性的识别预测模型,为离散裂缝网络模型建模提供准确有效的井点信息和井间信息;(2)在建模技术方面,需进一步研究裂缝产状、长度、开度等属性的空间相关性和结构性及其建模方法;(3)在模型应用技术方面,基于离散裂缝网络模型的数值模拟方法计算成本过高,需降低其计算成本,以满足工程需要.Compared to classic reservoir, fractured reservoir has a strong heterogeneity, the representative element volume (REV) of which is too large to be described via equivalent continuum media model. Discrete fracture network (DFN) model could describe the heterogeneity in any scale, and could be used to address the problem. Technology of reservoir identification and prediction, modeling method and the application of DFN model was studied in this paper to make the conclusion that the development of DFN model depends on three factors. (1) in reservoir identification and prediction, identification and prediction model for fracture discrete properties, such as occurrence, length and aperture must be developed to provide accurate information in well and inter-well, (2) in model method, the correlation and structure of reservoir attribution parameters, such as occurrence, length and aperture must be considered more, (3) in the application, the cost of numerical simulation must be reduced for the engineering application.

关 键 词：离散裂缝网络模型 储层表征概念 非均质性 建模方法 数值模拟 裂缝性油藏 

分 类 号：TE319[石油与天然气工程—油气田开发工程]