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储油洞库地下水流系统影响因素权重分析

Weight Analysis of Influencing Factors of Groundwater Flow System around Oil Storage Caverns
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摘要 为了评价影响储油洞库地下水流系统各因素的权重,利用层次分析法,结合山东某大型地下水封储油洞库工程实例,对影响储油洞库地下水流系统的水幕系统关键设计参数(水幕钻孔注水压强、水幕系统高度、水幕钻孔间距和水幕系统宽度)、储油工况等因素进行多因素综合分析。结果表明:水幕系统注水压强的权重最大,是影响储油洞库地下水流系统的主要因素;储油洞库建造期水幕系统是控制地下水流系统的关键,运行期地下水流系统主要通过水幕钻孔注水压强控制。 In order to evaluate the weights of various factors affecting the groundwater flow system around oil storage caverns,the key design parameters of water curtain system(injection pressure,elevation,borehole space,and width)and oil storage conditions affecting the groundwater flow system around oil storage caverns were comprehensively analyzed by using the analytic hierarchy process(AHP)combined with an engineering example of a large-scale underground water-sealed oil storage cavern in Shandong province.The results show that the factor of injection pressure of water curtain system has the greatest weight and is the main factor affecting the groundwater flow system around oil storage caverns,the water curtain system during the construction of oil storage caverns is the key to control the groundwater flow system,and the groundwater flow system during the operation period is mainly controlled by injection pressure of the water curtain boreholes.
作者 戴云峰 林锦 韩江波 周志芳 刘九夫 高广利 DAI Yun-feng;LIN Jin;HAN Jiang-bo;ZHOU Zhi-fang;LIU Jiu-fu;GAO Guang-li(State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Nanjing Hydraulic Research Institute,Nanjing 210029,China;Groundwater Research Center,Nanjing Hydraulic Research Institute,Nanjing 210029,China;School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China;College of Geosciences and Engineering,North China University of Water Resources and Electric Power,Zhengzhou 450045,China)
出处 《科学技术与工程》 北大核心 2020年第5期1754-1759,共6页 Science Technology and Engineering
基金 国家自然科学基金(51709186) 江苏省自然科学基金(BK20170154) 国家重点研发计划(2016YFC0402800) 中国博士后科学基金(2017M611863)。
关键词 储油洞库 水幕系统 渗流场 层次分析法 权重 oil storage cavern water curtain system seepage field analytic hierarchy process weight
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