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地下水封石油洞库渗水量预测与统计

王者超, 李术才, 梁建毅, 乔丽苹, 薛翊国, 周毅

王者超, 李术才, 梁建毅, 乔丽苹, 薛翊国, 周毅. 地下水封石油洞库渗水量预测与统计[J]. 岩土工程学报, 2014, 36(8): 1490-1497. DOI: 10.11779/CJGE201408015
引用本文: 王者超, 李术才, 梁建毅, 乔丽苹, 薛翊国, 周毅. 地下水封石油洞库渗水量预测与统计[J]. 岩土工程学报, 2014, 36(8): 1490-1497. DOI: 10.11779/CJGE201408015
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WANG Zhe-chao, LI Shu-cai, LIANG Jian-yi, QIAO Li-ping, XUE Yi-guo, ZHOU Yi. Prediction and measurement of groundwater flow rate of underground crude oil storage caverns[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(8): 1490-1497. DOI: 10.11779/CJGE201408015
Citation: WANG Zhe-chao, LI Shu-cai, LIANG Jian-yi, QIAO Li-ping, XUE Yi-guo, ZHOU Yi. Prediction and measurement of groundwater flow rate of underground crude oil storage caverns[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(8): 1490-1497. DOI: 10.11779/CJGE201408015
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地下水封石油洞库渗水量预测与统计  English Version

  • 1. 山东大学岩土与结构工程研究中心,山东 济南 250061; 2. 黄岛国家石油储备基地有限责任公司,山东 青岛 266426

基金项目: 国家重点基础研究发展计划（973计划）项目（2013CB036002）; 国家自然科学青年基金项目（51309145,41202205）; 山东省优秀中青年科学家科研奖励基金项目（BS2013NJ018）; 山东大学自主创新基金项目 （2012TS058）
详细信息
    作者简介:

    王者超(1980- ),男,山东高唐人,博士,副教授,硕士生导师,主要从事岩体渗流特性与岩土材料流变性质的研究工作。E-mail: wanz@sdu.edu.cn。

  • 中图分类号: TU43

Prediction and measurement of groundwater flow rate of underground crude oil storage caverns

  • 1. Geotechnical and Structural Engineering Research Center, Shandong University, Jinan 250061, China; 2. Huangdao Oil Reserve Base Limited Company, Qingdao 266426, China

摘要

    摘要
  • 摘要: 渗水量规模与空间分布特征是地下水封石油洞库建设中的关键问题。以中国首个大型地下水封石油洞库项目为背景,采用经验公式、有限元法计算和现场实测等方法研究了该洞库渗水量规模和空间分布特征。在大量现场岩体渗透性试验基础上,获得了可靠的岩体渗透系数,采用经验公式和数值计算等方法对洞库渗水量规模和空间分布特征进行了预测。根据现场揭露的渗水形态,统计了洞库渗水量规模,获得了渗水量空间分布特征,调查了渗水部位地质特征,据此提出了渗水量控制标准和有针对性的工程注浆防渗对策。通过对比预测与统计结果,讨论了渗水量规模预测方法适用性和渗水量空间分布特征离散性等问题。研究成果为提高中国地下水封石油洞库建设水平提供了理论支持,并为复杂条件下地下工程渗流特性研究提供了工程实例。
    Abstract: The magnitude and spatial distribution of groundwater flow rate around cavern periphery are of critical importance to the construction of underground crude oil storage caverns with water curtain system. The groundwater flow rate of a pilot underground storage cavern in China is estimated using empirical equations, finite element modeling and field measurement. The magnitude and spatial distribution of groundwater flow rate are predicted and then measured in this study. The permeability coefficient is obtained using a series of field permeability tests. The prediction is performed using the empirical equations and finite element modeling. The measurement is performed in terms of the forms of groundwater flow at different locations. The geological conditions at the locations of groundwater flow are identified. A critical value for the groundwater flow rate and a method for grout injection are proposed according to the field measurement. The applicability of the numerical modeling and the discrete nature of the spatial distribution of groundwater flow rate of jointed rock mass are discussed by comparing the predicted results with the measured ones. This study may benefit the construction of underground crude oil storage caverns, and provide a case study for groundwater flow through jointed rock mass under complex conditions.
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  • 收稿日期:  2013-12-26
  • 发布日期:  2014-08-18

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