A Novel Shallow Well Monitoring System for CCUS: With Application to Shengli Oilfield CO2-EOR Project
文献类型:会议论文
作者 | Li, Qi1![]() ![]() |
出版日期 | 2014 |
会议日期 | OCT 05-09, 2014 |
会议地点 | Austin, TX |
关键词 | CO2-EOR Monitoring well It-tuhe Sampling technology Baseline Shengli oilfield CCUS |
卷号 | 63 |
DOI | 10.1016/j.egypro.2014.11.425 |
页码 | 3956-3962 |
英文摘要 | The carbon dioxide (CO2.) flooding to improve the recovery ration of oil reservoir (EOR) is becoming one main way of EOR in the Shengli Oilfield, Shandong province, Northeast China. As one of the largest and oldest oilfields in China, the Shengli oilfield CCUS demonstration project is a true full-chain project from capture, pipeline transportation, utilization through storage. In particular, this CCUS project implements a wide spectrum of monitoring and assessments. A novel shallow well monitoring system is developed to detect the leakage of CO2 at shallow formations. The core of this novel system is to adopt the U-tube sampling technology to accomplish collections of samples of water mid gas in a convenient and cost-effective way. The shallow well is designated to a depth of 10 meters with a maximum five-block separation, i.e. it can obtain samples of water and/or gas at five different depths in maximum in a shallow well. The novel system has been tested to obtain geochemical samples of water and gas during a CO2-EOR demonstration experiment conducted in the Shengli oilfield. (C) 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creavativecommons.org/licesses/by-nc-nd/3.0/). Peer-review under responsibility of the Organizing Committee of GLIGT-12 |
会议录 | 12TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-12
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会议录出版者 | ELSEVIER SCIENCE BV |
会议录出版地 | AMSTERDAM |
语种 | 英语 |
WOS研究方向 | Chemistry ; Energy & Fuels |
WOS记录号 | WOS:000361211504015 |
源URL | [http://119.78.100.198/handle/2S6PX9GI/4828] ![]() |
专题 | 岩土力学所知识全产出_会议论文 国家重点实验室知识产出_会议论文 |
作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech IRSM, State Key Lab Geomech & Geotech Engn ; 2.Shengli Engn & Consulting Co Ltd |
推荐引用方式 GB/T 7714 | Li, Qi,Liu, Xuehao,Zhang, Jian,et al. A Novel Shallow Well Monitoring System for CCUS: With Application to Shengli Oilfield CO2-EOR Project[C]. 见:. Austin, TX. OCT 05-09, 2014. |
入库方式: OAI收割
来源:武汉岩土力学研究所
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