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淄博煤田石谷井田底板水害分析及防治水对策探讨 总被引：1，自引：0，他引：1
石谷井田位于淄博向斜东翼中段深部,整体上呈单斜构造,开采煤层为太原组底部9、10号煤层。通过对井田水文地质条件的分析认为：本溪组徐上砂岩、徐灰及奥陶系石灰岩承压水是矿井的主要充水含水层;影响井田含水层富水性的主要因素是地形地貌、含水岩组与可采煤层之间的岩性组合、厚度变化及断裂构造;井田底板突水形式主要是裂隙扩大型和裂隙渗流型。对井田的底板突水规律进行了分析研究,提出了以查明底板水文地质条件为前提,以准确分析判断可能发生的底板突水类型为基础,做好探查探测、实时监控、分析评价、预测预报、疏放降压、条带开采、合理留设煤柱的综合预防及治理措施。 相似文献
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通过对井田内水文地质条件及可采煤层赋存情况的分析,对井田内含水层和隔水层进行了划分,并对各主要含、隔水层（组、段）的岩性、厚度、埋藏条件、分布规律及水位、水质、富水性和补给、径流、排泄条件及各含水层（组、段）之间的水力联系进行了详细阐述。分析研究了矿井的充水因素,指出在留设防水（砂）煤岩柱条件下,开采3～10煤层时,新生界第四含水层（组）为间接充水含水层,直接充水水源为二叠系主采煤层顶底板砂岩裂隙水;开采10煤层时,正常情况下太原组1灰距10煤底板较远,对开采10煤层无直接影响,但在由断层作用导致断层间距缩短或对口的部位有突水危险。此结果为矿井今后煤层开采过程中降低水害威胁、制定防治水对策提供了帮助。 相似文献
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利用岩性和构造划分井田含水层,从地形、地貌、地层、构造几个方面对井田水文地质特征进行论述,得出井田水文地质条件中等的结论,并提出矿井开采过程中防治水工作建议。 相似文献
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新阳矿9-10-11号煤层底板低于奥灰岩溶水位,承受水压较高,存在带压开采问题。依据矿区水文地质勘查资料,通过对9-10-11号煤层底板隔水岩层隔水性能、奥灰岩溶水富水程度、底板断裂构造发育情况、煤层底板承压大小以及采煤扰动底板破坏深度等突水因素分析,表明井田西南部断裂构造发育地段为突水危险区。分别采用突水系数法和突水危险度法对全井田9-10-11号煤层底板突水危险性进行评价,评价结果显示井田南部及断裂构造发育地段为突水危险区。理论分析与定量评价结果基本一致。针对9-10-11号煤层底板突水安全评价结果,提出了相应的防突水对策。 相似文献
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陕北侏罗纪煤田榆神矿区麻黄梁井田位于榆神矿区东南部,榆林城东北方向。井田内地质构造简单,煤炭资源丰富。从鄂尔多斯盆地东部地下水类型、含水岩组等区域水文地质条件入手,对陕北侏罗纪煤田榆神矿区麻黄梁井田水文地质条件进行探讨。此基础上,从煤层上覆基岩所处的古地形、煤层顶板上覆基岩厚度、煤层顶板上覆基岩的岩性及与煤层燃烧区的关系对巷道突水强度进行了分析,对该煤矿在巷道掘进的进程中出现较强突水的原因进行研究,为今后的生产提供技术资料。 相似文献
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从地质构造、含水层、隔水层、开采条件等方面详细分析了赵官井田10煤层底板突水的影响因素,确定了断层强度指数、褶皱分维值、"底板充水含水层组"水压、"底板充水含水层组"富水性、奥灰富水性、隔水层厚度、泥岩比率、底板破坏深度8个主控因素作为10煤层底板突水危险性评价的决策指标,并建立了各主控因素专题图;运用层次分析法(AHP)确定了各主控因素的权重系数,建立了基于"脆弱性指数法"的底板突水危险性评价模型,对10煤层底板突水危险性进行了定量评价,结果表明:在井田的南部煤层露头处脆弱性指数小,突水可能性较小;在井田的北部,特别是在井田东北部,脆弱性指数大,突水危险性较大。 相似文献
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本文分析了曹村井田下组煤矿井充水条件，进而从定性与定量两个方面论述了下组煤底板隔水性能。最后在综合考虑井田构造、岩溶陷落柱、奥陶纪灰岩（以下简称奥灰岩）水压、隔水层抗水能力以及采矿影响等的基础上，对全井田进行了突水条件分区预测．从而为解放奥灰岩水威胁下的煤炭储量和煤矿安全生产提供了依据。 相似文献
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白石沟井田是近年来探明的大巾型井田,位于五指岭-白寨背斜东端之南翼,新密-新郑复向斜之北翼．岗亚腰断层和梁山断层之间的地垒构造上,其基本构造形态为-向东倾伏的宽缓背斜。二叠系下统山西组二1煤为主要开采煤层,探明二1煤资源量7206×10^7t。分析了井田含水岩组及其富水性,对断层带及其富水特征进行了研究,从矿床（二1煤层）充水的水源、通道、机理三个方面分析了矿床充水因素,指出二1煤层的主要充水水源为该煤层底板的石炭系岩溶裂隙-承压水,充水通道为断层带和灰岩的岩溶裂隙发育带,充水机理为矿压及高水头压力冲破煤层底板阻水层阻力,形成底鼓,迅速突水。认为该井田水文地质勘查类型为三类二型,提出了排除与隔离地表水体,预留防水安全煤柱,灌浆辅助采掘的井田突水防范措施。 相似文献
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The prediction and prevention of floor water inrush is directly related to the safety of the coal mine production. The previous evaluation method of floor water inrush was more one-sided and lacked main control factors related to mining conditions. In order to evaluate the floor water inrush more accurately, under the project background of geological data of Wanglou coal mine, stope width, mining depth, fault scale index, water pressure, water abundance and thickness of aquifer were selected as main controlling factors of floor water inrush. Combined with the subjective weight analytical hierarchy process and the objective weight variation coefficient method, the weight coefficients corresponding to the main controlling factors were obtained respectively. The thematic map of the risk assessment of coal seam floor water inrush was drawn by combining the constructed comprehensive weight vulnerability index model and geographic information system. The results show that: ① according to the actual geological data of mine, two fault related factors were removed. And stope width and mining depth were increased as the main controlling factors to evaluate floor water inrush. It is easier to compare and calculate the weight of evaluation factors. ② The constructed comprehensive weight vulnerability index model can comprehensively evaluate the risk of floor water inrush. And the results of the evaluation are more accurate. ③ The related thematic maps can directly reflect the risk of floor water inrush, which is of guiding significance for the prediction and prevention of coal seam floor water inrush. 相似文献
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邢台煤矿下组煤开采水文地质条件评价及突水危险性预测 总被引：2，自引：0，他引：2
为安全开采下组煤,详细分析了矿区奥灰水文地质条件,以研究煤层底板突水因素、突不机理为切入点,利用地理信息系统技术,对下组煤开采之前奥灰突水的危险性进行了预测,即可分为３个区（安全区、可能突水区、突水区）,同时提出下组煤先期开采的范围为－２１０ｍ水平以上范围。 相似文献
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As hydrogeological conditions of coal field in North China are complicated, coal mine water hazards have been occurring frequently.
Nearly 80% of coal mines are affected by Ordovician and Permo-Carboniferous Karst water. According to rough statistics, 200
incidents of water inrush have occurred since 1950, 1,500 persons have died, and there is an economic loss of 3 billion Yuan
(RMB). The climate of North China belongs to drought or semi-drought zone. So the recharge amount of ground water by infiltration
of precipitation is limited. Stronger coal mine water drainage has brought a series of environmental problems, such as water
resource and lots of famous Karst springs exhausted, surface collapse emerged, mine water contaminated. Coal mine water hazards
are so serious that the economic benefit of coal mines is dropping. Sustainable development of coal mines is affected. So,
preventing coal mine water hazards and protecting geological environment are essential. This thesis focuses on preventing
coal mine water hazards technologies. The technologies include four aspects: exploration of hydrogeological conditions; prediction
and forecast of water inrush; mining under safe water pressure; and sealing off groundwater by grouting. 相似文献
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煤矿(床)水文地质学是研究煤炭资源开发过程中地下水活动规律以及为防止其对采煤工程的不利影响,保护矿区生态环境的一门应用性地质学科,对煤矿安全生产工作具有重要的推动作用。近年来,在保水采煤技术、华北型煤田防治水技术体系、陷落柱发育规律及其治理技术、煤层底板含水层注浆改造保障技术等方面取得了重要进展。随着煤炭开采强度和开采规模的进一步扩大,学科发展面临着诸如老空水及陷落柱探测、矿坑充水条件变化、矿井水患实时评价及治理等重大问题。提出了在学科发展中应优先解决诸如“三高”(高地压、高地温、高水压)地质条件下煤矿突水机理、西部地区煤炭资源开发过程中突水溃砂机理、水资源承载力及其调蓄技术、矿井水资源化及其合理利用研究以及综放开采条件下冒裂带发育规律研究等科学问题。 相似文献
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新集一矿煤炭资源储量丰富,内部构造复杂,矿井突水、涌水灾害时有发生。通过收集新集一矿的钻探地质资料,重点分析13煤层及其顶板水文工程地质条件,并对煤层开采条件进行分析。结果发现:新集一矿13煤附近岩石以及13煤顶板岩石性质总体表现为岩质较软,强度低,割线模量小,地质条件复杂程度为中等型,会偶然受到地热和天窗等地质危害和煤层自燃、煤尘爆炸影响。研究结果为13煤的开采打下了坚实的基础。 相似文献
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Hao Li Haibo Bai Jianjun Wu Changshen Wang Zhanguo Ma Yabo Du Kai Ma 《Arabian Journal of Geosciences》2017,10(21):468
Water inrush into coal mines from aquifers underlying coal seams often causes serious casualties and economic losses. The key to preventing the disaster is to discover a water inrush mechanism suitable for specific geological and hydrogeological conditions and apply reasonable control measures. A case of the Chensilou mine is studied in this paper. Complex geological and hydrogeological conditions, such as 12 aquifers in the floor and small distance between coal seam and aquifer, make the mining face in the synclinal basin have a great risk of water inrush. In addition, as an important way to prevent the disaster, grouting will aggravate the risk of water inrush from the floor. The slurry will drive groundwater in the limestone aquifers L8, even L7 and L6 along the horizontal (fracture zone in L11~L8) and vertical (Fs1 ~Fd1) water flow channel into the mining face and synclinal basin. A new water inrush mechanism driven by grouting is formed. In order to prevent this disaster, based on statistical law of hole deviation, the relative error of vertical depth and the angle between the borehole and the rock formation are obtained. Finally, an improved grouting method is proposed, which is useful to ensure the safe production of coal mine and reduce the cost of grouting. 相似文献
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Based on the analysis of the hydrogeological conditions and water burst (inrush) conditions on 15# coal seam roof of Shigejie coal mine of Shanxi Lu’an Group, this article evaluated the water burst (inrush) risks on 15# coal seam roof of Shigejie coal mine with the multi-source information composite technology and marked out the zones with medium and small water burst (inrush) risks on 15# coal seam roof of Shigejie coal mine. The targeted water prevention and control measures were proposed in accordance with the results of research evaluation 相似文献
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Dekang Zhao Qiang Wu Fangpeng Cui Hua Xu Yifan Zeng Yufei Cao Yuanze Du 《Hydrogeology Journal》2018,26(7):2327-2340
Coal-floor water-inrush incidents account for a large proportion of coal mine disasters in northern China, and accurate risk assessment is crucial for safe coal production. A novel and promising assessment model for water inrush is proposed based on random forest (RF), which is a powerful intelligent machine-learning algorithm. RF has considerable advantages, including high classification accuracy and the capability to evaluate the importance of variables; in particularly, it is robust in dealing with the complicated and non-linear problems inherent in risk assessment. In this study, the proposed model is applied to Panjiayao Coal Mine, northern China. Eight factors were selected as evaluation indices according to systematic analysis of the geological conditions and a field survey of the study area. Risk assessment maps were generated based on RF, and the probabilistic neural network (PNN) model was also used for risk assessment as a comparison. The results demonstrate that the two methods are consistent in the risk assessment of water inrush at the mine, and RF shows a better performance compared to PNN with an overall accuracy higher by 6.67%. It is concluded that RF is more practicable to assess the water-inrush risk than PNN. The presented method will be helpful in avoiding water inrush and also can be extended to various engineering applications. 相似文献