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储层构造裂缝识别及预测研究进展 被引量:23

Progress in Reservoir Structural Fracture Characterization and Prediction
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摘要 构造裂缝的发育改变了储层岩石的物性与力学性质,严重影响着压裂施工及油气开发效率,因此,查清构造裂缝的发育特征具有非常重要的理论与实际价值。但由于仪器探测能力的限制,准确识别天然裂缝的难度很大,目前尚无一种系统的方法可以精确表征裂缝的发育特征。基于前人研究成果,认为构造裂缝的发育规律、形态特征等主要受控于岩石物理性质及构造应力场。对比分析了露头、岩心、测井、离散随机建模、地震、构造应力场模拟等裂缝研究方法的优势与局限性,总结了构造裂缝研究的趋势,归纳出系统研究裂缝的方法:(1)结合地震、岩心、测井及离散随机建模的裂缝研究系统;(2)结合构造应力场模拟与岩心、测井相结合的裂缝研究系统。 The structural fractures change the petrophysical and mechanical properties of the reservoir rocks,and severely impact the efficiency of fracturing construction and oil and gas development.Therefore,it is very important to investigate the developmental characteristics of structural fractures.However,due to the limitation of instrument detection ability,it is difficult to accurately identify the structural fractures,and there is no systematic method to accurately characterize the development characteristics of fractures.The development rules and morphological characteristics of structural fractures are mainly controlled by the physical properties of rocks and tectonic stress fields.This paper analyses comparatively the advantages and limitations of the methods of fracture researches such as outcrops,core data,logging,discrete random modeling,seismic data,and structural stress field simulation,and summarize the research trend of structural fracture researches.The paper concludes that the systematic method should be employed to study the fractures:(1)the method combined with seismic datas,core datas,logging and discrete stochastic modeling;and(2)the method combined with structural stress field simulation core and well logging.
作者 高金栋 周立发 冯乔 牟宗琪 Gao Jindong;Zhou Lira;Feng Qiao;Mou Zongqi(a.State Key Laboratory of Continental Dynamics,1b.Department of Geology,Northwest University,Xi'an 710069,China;Shaanxi Provincial Institute of Energy Resources& Chemical Engineering,Xi'an 710069,China;College of Geological Science and Engineering,Shandong University of Science and Technology,Qingdao Shandong 266590,China;CIGIS(China)Limited,Beijing 100007,China)
出处 《地质科技情报》 CSCD 北大核心 2018年第4期158-166,共9页 Geological Science and Technology Information
基金 国家重点研究发展计划(2016YFE0102500)
关键词 构造裂缝 裂缝识别 裂缝预测 structural fracture fracture identification fracture prediction
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