地质科技情报2018，Vol.37Issue(1)：115-121,7.DOI:10.19509/j.cnki.dzkq.2018.0115
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
摘要
Abstract
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 informa tion,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 FM1 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Key words
shale gas/rock physical model/SPM model/fractured pore/quantitative prediction分类
天文与地球科学引用本文复制引用
陈彦虎,蒋龙聪,胡俊,胡冬梅..页岩储层裂缝型孔隙定量预测的新方法[J].地质科技情报,2018,37(1):115-121,7.基金项目
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) （41572134）
