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邯邢式大水铁矿突水风险评价方法研究——以白涧铁矿为例
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作者 莘星 雷媛媛 +1 位作者 李建锋 石逊 《矿产勘查》 2024年第10期1937-1946,共10页
针对邯邢式大水铁矿复杂的水文地质条件,本文结合白涧铁矿区实际情况,选取断裂构造、矿体顶板水压、钻孔密度、矿体顶板围岩裂隙分布、矿体顶板岩石质量指标及矿体顶板岩性共6项指标,提出了邯邢式大水铁矿开采突水风险的评价方法。采用... 针对邯邢式大水铁矿复杂的水文地质条件,本文结合白涧铁矿区实际情况,选取断裂构造、矿体顶板水压、钻孔密度、矿体顶板围岩裂隙分布、矿体顶板岩石质量指标及矿体顶板岩性共6项指标,提出了邯邢式大水铁矿开采突水风险的评价方法。采用和积法对各评价指标进行了权重分配,同时利用Arc GIS软件对各专题图进行复合叠加处理,得到了白涧铁矿区突水风险评价分区图。结果表明:白涧铁矿区突水高风险、较高风险、中风险及低风险区分别占总面积的5.54%、15.75%、50.26%和28.45%。高风险区、较高风险区主要分布于矿区东侧F_(2)、F_(3)、F_(4)断层轴部及两侧,矿区基建或开采时需重点防治。通过评价邯邢式大水铁矿—白涧铁矿的矿区突水风险,以期对同类矿山进行水害防治提供一定的借鉴。 展开更多
关键词 铁矿 突水风险评价 白涧铁矿区
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郭二庄矿底板突水风险评价及注浆防治技术探究
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作者 索咏旭 《内蒙古科技与经济》 2021年第9期111-111,113,共2页
受奥陶系地质变化影响,我国华北平原大多数煤层均会受到奥灰水的威胁。并且随着开采深度的增加,底板水压越来越大,所面临的突水风险也随之增大,严重制约了深部煤层的开采。下组煤开采防治奥灰水是关键,需在矿井水文地质监测系统基础上... 受奥陶系地质变化影响,我国华北平原大多数煤层均会受到奥灰水的威胁。并且随着开采深度的增加,底板水压越来越大,所面临的突水风险也随之增大,严重制约了深部煤层的开采。下组煤开采防治奥灰水是关键,需在矿井水文地质监测系统基础上加强下组煤水文地质研究工作,采取合理的防治水措施和带压开采措施,才能确保下组煤的安全顺利开采。文章结合郭二庄矿9#煤层奥灰水防治实践,对下组煤突水风险评价及注浆防水技术进行了探讨。 展开更多
关键词 底板 突水风险评价 注浆防治
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岩溶陷落柱导水类型及其突水风险预测 被引量:18
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作者 杨为民 司海宝 吴文金 《煤炭工程》 北大核心 2005年第8期60-63,共4页
在分析岩溶陷落柱的导水机理及其影响因素的基础上,根据陷落柱的岩体结构力学和水文地质特征,提出了陷落柱的三种导水类型。结合皖北矿区巷揭陷落柱的特点,建立两类不同的导水陷落柱地质模型,并运用FEM软件对其导突水风险进行了定量预测。
关键词 岩溶陷落柱 类型 突水风险评价
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深埋侏罗系煤层顶板水害源头防控关键技术 被引量:40
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作者 王洋 武强 +2 位作者 丁湘 高柏 蒲治国 《煤炭学报》 EI CAS CSCD 北大核心 2019年第8期2449-2459,共11页
为解决目前蒙陕矿区深部侏罗系矿井采后采场落地水量大、煤水混杂,以及上部煤层距离强含水层较近,无法安全掘进与回采等一系列问题,提出了深埋侏罗系煤层顶板水害源头防控关键技术。应用沉积控水规律,分析了含(隔)水层在平面与剖面的空... 为解决目前蒙陕矿区深部侏罗系矿井采后采场落地水量大、煤水混杂,以及上部煤层距离强含水层较近,无法安全掘进与回采等一系列问题,提出了深埋侏罗系煤层顶板水害源头防控关键技术。应用沉积控水规律,分析了含(隔)水层在平面与剖面的空间展布规律与含水层富水性分布规律,在此基础上,针对煤层厚度变化较大、顶板含(隔)水层交互成层的特征,通过构建含有沉积环境影响指数、砂岩厚度、岩芯采取率、单位涌水量、渗透系数与导水裂隙带发育高度6个指标在内的评价指标体系,提出了符合深部侏罗系矿井水文地质特征的矿井涌(突)水风险分区评价方法,进而根据“断源截流、集中疏排、源头预防、超前治理”的防治水思路,提出了“上行开采低位截流”、“工作面单侧截流”、“工作面双侧截流”与“工作面方向调整截流”4种地下水截流治理模式,最后以蒙陕矿区的门克庆矿井和母杜柴登矿井进行实例分析。应用结果表明:①直罗组一段砂岩含水层主要为河道相沉积,砂体的空间连续性较好,是深部侏罗系矿井的主要充水含水层;②门克庆矿井首采区3 -1 煤顶板涌(突)水危险区主要分布在研究区的南部,呈东西向条带状展布,与实际情况较为吻合;③根据门克庆矿井首采区涌(突)水危险性分布规律,应用了“工作面单侧截流”与“上行开采低位截流”两种治理模式并分析了其在实际工程中的应用效果。深部侏罗系矿井水害防治作为一个复杂的系统工程,以源头防控为重点的系统防治技术体系仍是深部侏罗系矿井水害防治需要重点攻关的研究方向。 展开更多
关键词 深埋侏罗系煤层 沉积控 涌()风险评价 断源截流 源头防控
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Risk assessment of floor water inrush in coal mines based on MFIM-TOPSIS variable weight model 被引量:8
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作者 ZHANG Guan-da XUE Yi-guo +3 位作者 BAI Cheng-hao SU Mao-xin ZHANG Kai TAO Yu-fan 《Journal of Central South University》 SCIE EI CAS CSCD 2021年第8期2360-2374,共15页
Floor water inrush is one of the main types of coal mine water hazards.With the development of deep mining,the prediction and evaluation of floor water inrush is particularly significant.This paper proposes a variable... Floor water inrush is one of the main types of coal mine water hazards.With the development of deep mining,the prediction and evaluation of floor water inrush is particularly significant.This paper proposes a variable weight model,which combines a multi-factor interaction matrix(MFIM)and the technique for order performance by similarity to ideal solution(TOPSIS)to implement the risk assessment of floor water inrush in coal mines.Based on the MFIM,the interaction between seven evaluation indices,including the confined water pressure,water supply condition and aquifer water yield property,floor aquifuge thickness,fault water transmitting ability,fracture development degree,mining depth and thickness and their influence on floor water inrush were considered.After calculating the constant weights,the active degree evaluation was used to assign a variable weight to the indices.The values of the middle layer and final risk level were obtained by TOPSIS.The presented model was successfully applied in the 9901 working face in the Taoyang Mine and four additional coal mines and the results were highly consistent with the engineering situations.Compared with the existing nonlinear evaluation methods,the proposed model had advantages in terms of the weighting,principle explanation,and algorithm structure. 展开更多
关键词 floor water inrush risk assessment multi-factor interaction matrix(MFIM) technique for order performance by similarity to ideal solution(TOPSIS) variable weight
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Risk assessment of water inrush in tunnels based on attribute interval recognition theory 被引量:3
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作者 WANG Sheng LI Li-ping +3 位作者 CHENG Shuai HU Hui-jiang ZHANG Ming-guang WEN Tao 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第2期517-530,共14页
Water inrush is one of the most serious geological hazards in underground engineering construction.In order to effectively prevent and control the occurrence of water inrush,a new attribute interval recognition theory... Water inrush is one of the most serious geological hazards in underground engineering construction.In order to effectively prevent and control the occurrence of water inrush,a new attribute interval recognition theory and method is proposed to systematically evaluate the risk of water inrush in karst tunnels.Its innovation mainly includes that the value of evaluation index is an interval rather than a certain value;the single-index attribute evaluation model is improved non-linearly based on the idea of normal distribution;the synthetic attribute interval analysis method based on improved intuitionistic fuzzy theory is proposed.The TFN-AHP method is proposed to analyze the weight of evaluation index.By analyzing geological factors and engineering factors in tunnel zone,a multi-grade hierarchical index system for tunnel water inrush risk assessment is established.The proposed method is applied to ventilation incline of Xiakou tunnel,and its rationality and practicability is verified by comparison with field situation and evaluation results of other methods.In addition,the results evaluated by this method,which considers that water inrush is a complex non-linear system and the geological conditions have spatial variability,are more accurate and reliable.And it has good applicability in solving the problem of certain and uncertain problem. 展开更多
关键词 water inrush risk assessment attribute interval recognition model TFN-AHP
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