标题:Prediction of sandstone reservoir composition, porosity and their variations by using well logging data, in the process of CO2-EOR and geological storage of CO2
作者:Feng, Qiao; Zhang, Xiaoli; Wang, Xiangzeng; Ma, Jinfeng; Zhang, Lixia; Yu, Bowei
通讯作者:Zhang, XL
作者机构:[Feng, Qiao] Shandong Univ Sci & Technol, Coll Geol Sci & Engn, Qingdao 266510, Shandong, Peoples R China.; [Zhang, Xiaoli; Ma, Jinfeng; Yu, Bowei] 更多
会议名称:13th International Conference on Greenhouse Gas Control Technologies (GHGT)
会议日期:NOV 14-18, 2016
来源:13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13
出版年:2017
卷:114
页码:4545-4551
DOI:10.1016/j.egypro.2017.03.1571
关键词:CO2-EOR; rock composition; porosity; CO2-brine-rock interaction;; time-lapse logging
摘要:In the process of CO2-EOR and post-EOR, CO2 injection broke the original physical and chemical balance in reservoirs, and caused the complex CO2-brine-rock interactions, meanwhile, it leaded to the variations of rock composition, clay mineral, porosity, pore structure, water salinity, water type and pore fluid. By analyzing the model, core experimental study, field implementation of detection and so on, many scholars studied the CO2-brine-rock interactions and the variations of rock composition, porosity and others. The results showed that CO2 injection would lead to quartz, feldspar, carbonate mineral and clay mineral component dissolution and to the formation of new minerals, which would lead to the decrease of the reservoir porosity. The implementation of ECS time-lapse logging was helpful to predict the variation of rock composition. Neutron and acoustic time-lapse logging were helpful to predict the porosity variation. (C) 2017 The Authors. Published by Elsevier Ltd.
收录类别:CPCI-S
资源类型:会议论文
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