页岩层系天然裂缝地震预测技术研究  

Seismic prediction of natural fractures in series of shale oil reservoirs

作　　者：刘喜武 刘宇巍[1,2,3,4] 刘志远 刘炯[1,2,3,4] 霍志周 钱恪然[1,2,3,4] LIU Xiwu;LIU Yuwei;LIU Zhiyuan;LIU Jiong;HUO Zhizhou;QIAN Keran(National Key Laboratory of Corporation of Shale Oil/Gas enrichment mechanism and effective development,Beijing 100083,China;National energy R ＆ D center of shale oil,Beijing 100083,China;Sinopec Key Laboratory of Shale Oil/Gas Exploration and Production,Beijing 100083,China;Sinopec Petroleum Exploration and Production Research Institute,Beijing 100083,China)

机构地区：[1]页岩油气富集机理与有效开发国家重点实验室,北京100083 [2]国家能源页岩油研发中心,北京100083 [3]中国石油化工股份有限公司页岩油气勘探开发重点实验室,北京100083 [4]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：《石油物探》2018年第4期611-617,共7页Geophysical Prospecting For Petroleum

基　　金：国家自然科学基金委员会-中国石油化工股份有限公司石油化工联合基金资助项目(U1663207);国家重点基础研究发展计划项目(973计划项目)(2014CB239104);国家重大科技专项项目(2017ZX05049-002)共同资助~~

摘　　要：页岩层系中多尺度天然裂缝是重要的储集空间和输导体系,具有一定的独特性,在页岩纹层结构和夹层背景下,高角度垂直缝、顺层层理缝和微裂缝同时发育,这些裂缝的预测难度大。在页岩层系天然裂缝属性特征研究的基础上,提出了地震预测天然裂缝的流程,首先基于页岩各向异性岩石物理模型,采用高精度曲率方法研究大尺度高角度垂直裂缝;再基于VTI介质各向异性反演预测顺层层理缝,推导了正交各向异性介质反射系数的简化公式,并预测小尺度裂缝;最后利用人工智能建立了多信息多尺度裂缝综合预测方法。该方法取得了一定的应用效果,为裂缝参数的定量预测奠定基础。For shale oil reservoirs, natural fractures are principal reserving spaces and flowing channels. In shale oil reservoirs with shale laminated structures and interlayers, vertical fractures, horizontal fractures, and micro scale fractures are well developed, but are difficult to predict using seismic data. First, we summarize the basic properties of natural fractures in shale.Then, based on a rock physics model, we predict large-scale vertical fractures using a high-accuracy curvature method, extract horizontal fracture density using VTI anisotropy inversion, and describe both vertical and horizontal fractures with orthorhombic anisotropy inversion. Finally,we present a comprehensive prediction procedure that utilizes artificial intelligence. Application results show that the proposed methods are effective for natural fracture prediction in a series of shale oil reservoirs and can provide a data foundation to predict fracture parameters quantitatively.

关 键 词：页岩层系 天然裂缝 曲率 各向异性 岩石物理 地震预测 人工智能 

分 类 号：P631[天文地球—地质矿产勘探]