页岩储层裂缝型孔隙定量预测的新方法  

A New Method for Quantitative Prediction of Fractured Pores in Shale Gas Reservoirs

作　　者：陈彦虎 蒋龙聪 胡俊 胡冬梅 Chen Yanhu;Jiang Longcong;Hu Jun;Hu Dongmei(China University of Geosciences（Beijing）, Beijing 100083, China;Beijing Sunshine Geo-Tech Co. Ltd. , Beijing 100192, China;PEGETE Group Inc, Beijing 100101, China)

机构地区：[1]中国地质大学(北京),北京100083 [2]北京阳光杰科科技股份有限公司,北京100192 [3]北京中恒利华石油技术研究所,北京100101

出　　处：《地质科技情报》2018年第1期115-121,共7页Geological Science and Technology Information

基　　金：国家自然科学基金项目"页岩气储层甜点预测地球物理理论与方法研究"(41572134)

摘　　要：裂缝作为有效的储集空间和渗流通道,对于页岩储层具有重要的作用。裂缝研究的难点在于难以像井震结合波阻抗反演一样综合测井和地震信息开展裂缝预测。提出了一种综合测井和地震信息预测裂缝的新思路:首先拓展了SPM软孔模型,把孔隙空间分为硬孔隙、基质孔隙和裂缝型孔隙,建立岩石物理模型,并求取裂缝型孔隙度曲线,通过FMI成像测井曲线证实了裂缝型孔隙度结果的可靠性;然后综合裂缝型孔隙度测井曲线和地震数据,通过多属性神经网络反演预测实现了裂缝型孔隙度的定量预测。研究成果表明,通过和原始测井曲线以及和蚂蚁体等地震几何属性的对比,证明裂缝型孔隙度反演结果比较可靠,可以用来定量解释页岩储层的裂缝发育程度。本研究实现了综合测井曲线和地震信息定量预测页岩储层裂缝发育程度的方法,对于页岩储层定量解释具有重要的意义。Fractures,the effective reservoir space and seepage channels,play an important role in shale gas reservoirs.The difficulty of fracture prediction lies in the combination of well logging and seismic information,as well as the impedance inversion.This paper proposes a new fracture prediction method of combining well logs and seismic information.Firstly,with the extended SPM soft-porosity model,the pore space is divided into stiff pores,inter-particle pores and fractured pores,and rock physical model is established.With this rock physical model,fractured pores curve is obtained,whose reliability is confirmed by FMI information.Secondly,combing fractured pores curve and seismic data,the quantitative prediction of fracture pores is realized through neural network inversion.The results show that the increase of fracture pores can cause significant change of velocity,and the SPM model is more suitable for rock physics modeling of low porosity and fracture-developed shale reservoir.Fractureed pore inversion result is confirmed by original well logs and seismic geometry attributes,such as ant tracking,which can be used to quantitatively predict the fracture development of shale gas reservoirs.The paper also studies a new method for quantitative prediction of fractures in shale gas reservoir by comprehensive well logs and seismic information.

关 键 词：页岩气 岩石物理模型 SPM模型 裂缝型孔隙 定量预测 

分 类 号：P618.12[天文地球—矿床学]