基于多含水层水力联系的奥灰水突水监测预警系统研究
|
摘要
随着浅部煤炭资源的枯竭,开采强度的增加,矿井的深度不断延伸,来自煤层底部奥陶纪灰岩高承压水的危害日趋加剧,突水事故频发,严重影响着矿井的安全高效生产。因此,对奥灰水突水监测和预警的研究工作就尤为重要。
本文通过对煤层底板奥灰水突水机理的研究分析,总结了现有突水监测预警方法技术的不足,基于多含水层奥灰水突水监测理论,建立了监测层水压分布数学模型,利用有限元对监测层水压进行反演分析,开发了可视化奥灰水突水监测系统。使用该系统进行了突水模拟实验研究,验证了其准确性；结合潞安集团余吾煤业公司的工程实例,验证了其稳定性。
在论文中详细介绍了该系统的构建以及现场施工的技术环节,也指出了系统中的不足,希望日后能加以改进,并期待该系统能在各大矿区大力推广,将这一成果应用于实际生产中。
With the depletion of shallow part coal resources, increasing of mining intensity, and extension of the depth of the mine, the hazard of high pressure water from the bottom of the Ordovician limestone Meiceng has beening aggraving and the water inrush accident happend frequently.These highly affect safty and high-efficent production of coal mine. Therefore, the water inrush Ordovician research monitoring and early warning is particularly important.
Based on the coal floor water inrush mechanism Ordovician research and analysis, summarized existing methods and techniques of water inrush lack of monitoring and early warning, based on multi-Ordovician aquifer water inrush of water monitoring theory, using the finite element pressure distribution layer to establish a monitoring Mathematical model, the inversion pressure monitoring layer analysis, development of visual Ordovician limestone water bursting monitor system. Carried out using the system simulation of water inrush to verify its accuracy; with more than Lu'an Coal Group's engineering practice, to verify its stability.
The paper describes in detail the composition of the system and on-site construction of the technical aspects, but also points out the deficiencies of the system in hopes of improving in the future, and look forward to the system can be promoted in the major mining area, the results will be applied to practical production.
本文通过对煤层底板奥灰水突水机理的研究分析,总结了现有突水监测预警方法技术的不足,基于多含水层奥灰水突水监测理论,建立了监测层水压分布数学模型,利用有限元对监测层水压进行反演分析,开发了可视化奥灰水突水监测系统。使用该系统进行了突水模拟实验研究,验证了其准确性；结合潞安集团余吾煤业公司的工程实例,验证了其稳定性。
在论文中详细介绍了该系统的构建以及现场施工的技术环节,也指出了系统中的不足,希望日后能加以改进,并期待该系统能在各大矿区大力推广,将这一成果应用于实际生产中。
With the depletion of shallow part coal resources, increasing of mining intensity, and extension of the depth of the mine, the hazard of high pressure water from the bottom of the Ordovician limestone Meiceng has beening aggraving and the water inrush accident happend frequently.These highly affect safty and high-efficent production of coal mine. Therefore, the water inrush Ordovician research monitoring and early warning is particularly important.
Based on the coal floor water inrush mechanism Ordovician research and analysis, summarized existing methods and techniques of water inrush lack of monitoring and early warning, based on multi-Ordovician aquifer water inrush of water monitoring theory, using the finite element pressure distribution layer to establish a monitoring Mathematical model, the inversion pressure monitoring layer analysis, development of visual Ordovician limestone water bursting monitor system. Carried out using the system simulation of water inrush to verify its accuracy; with more than Lu'an Coal Group's engineering practice, to verify its stability.
The paper describes in detail the composition of the system and on-site construction of the technical aspects, but also points out the deficiencies of the system in hopes of improving in the future, and look forward to the system can be promoted in the major mining area, the results will be applied to practical production.
引文
[1]李颖.基于支持向量机的煤层底板突水预测方法研究[D].北京：煤炭科学研究总院,2007.
[2]胡宏清.喀斯特煤矿山矿井突水预测及水害防治研究——以贵州黔西新红林煤矿为例[D].贵阳：贵州大学,2007.
[3]尹会永.潘西煤矿煤层底板突水机理及预测预报研究[D].青岛：山东科技大学,2005.
[4]王作宇,刘鸿泉.承压水上采煤[M].北京：煤炭工业出版社,1993.
[5]杨成田.专门水文地质学[M].北京：地质出版社,1981.7.
[6](波)M.鲍莱茨基,M.胡戴克著,于振海,刘天泉译.矿山岩体力学[M].北京：煤炭工业出版社,1985.
[7](苏)H.A多尔恰尼诺夫.赵义译.构造应力与井巷工程稳定性[M].北京：煤炭工业出版社,1984.
[8]B.H.G.布雷迪.E.T.布郎,地下采矿岩石力学[M],冯树仁等译,北京：煤炭工业出版社,1900.6
[9]陈泰生,蔡元龙.用模式识别方法预测煤矿突水[J].煤炭学报,1990,15(4)：63-67.
[10]Sight, R. N. & Jakeman, M. (2001):Strata Monitoring Investigations Around Longwall Panels Beneath the Cataract Reservoir.-Mine Water and the Environment, 20(2):55-64, Berlin u. a.
[11]Zhong, W. H. (1982):A new Method of Mine Drainage Prediction using Unit Static Resource Method.-Int.J.Mine Water,1(3):23-31, Granada.
[12]Bekendam, R. F.; Pott gens, J. J, Ground movements over the coal mines of southern Limburg, the Netherlandds, and their relation to rising mine waters, International Journal of Rock Mechanics and Mining Science & Geomechanics Abstracts, Volume:33, issue 8, December,1996, pp.377A
[13]Nisbe, G.Y. Low risk seen in dewatering plan for West Rand. S. A.Mining, Coal and Base Minerals.1986(2):15
[14]Larson, K. J.;Basagaoglu, H.;Marino, M. A. Prediction of optimal safe ground water yield and land subsidence in the Los Banos-Kettleman City area, California, using a calibrated numerical simulation model, Journal of Hydrology Volume:242, Issue:1-2, February 25,2001, pp.79-102
[15]王作宇,刘鸿泉等.承压水上采煤学科理论与实践[J].煤炭学报,1994,19(1)：40-46.
[16]王延福,靳德武,曾艳京等.岩溶矿井煤层底板突水系统的非线性特征初步分析[J].中国岩溶,1998,17(4)：331-341.
[17]靳德武,王延福.华北型煤田矿坑突水因素的信息分析[J].煤田地质与勘探,1998增刊26：30-31.
[18]王延福,靳德武,曾艳京.矿井煤层底板突水预测新方法研究[J].水文地质与工程地质,99(4)：33-37.
[19]王延福,庞西歧,靳德武等.岩溶煤矿矿井煤层底部突水预测的相空间重构[J].中国岩溶,1999,18(3)：219-227.
[20]王延福,庞西歧,靳德武等.岩溶矿井煤层底板突水的非线性动力学模型[J].中国岩溶,2000,19(1)：81-89.
[21]靳德武,陈健鹏,王延福等.煤层底板突水预报人工神经网络系统的研究[J].西安科技学院学报,2000,20(3)：214-217.
[22]靳德武,马培智,王延福.华北煤层底板突水的随机-信息模拟及预测[J].煤田地质与勘探,1998,26(6)：36-39.
[23]江东,王建华.基于神经网络预测煤层底板突水[J].灾害学,1999,14(1)：28-32
[24]黄国民,苏文智.利用神经网络预测煤层底板突水[J].华北地质学院学报,1996,19(2)：170-182.
[25]韩进.利用VB开发煤层底板突水预测应用软件[J].焦作工学院学报,2000,19(2)：106-108.
[26]高卫东,张培基,杨建政等.矿井煤层底板突水预测[J].江苏煤炭1999(3)：15-16.
[27]王茂连,李定龙.GIS在刘桥二矿煤层底板突水预测中的应用[J].煤炭地质与勘探,1998,25(5)：63-66.
[28]孙苏南,槽中初,郑世书等.用地理信息系统预测煤层底板突水[J].每天地质与勘探,1996,24(6)：40-43.
[29]江东,王建华.基于GIS的煤矿底板突水预测模型的构造与应用[J].中国地质灾害与防治学报,1999,10(1)：68-72.
[30]陈学星,刘伟韬,张文泉.预测底板突水的专家系统研究[J].煤矿自动化,2000(1)：5-8.
[31]王经明,孙本奎,李泉等.煤层底板突水的智能化监测[J].微型机与应用,1998(1)：46-47.
[32]懂书宁,王经明,高智连等.煤层底板突水监测系统的开发及应用[J].煤炭工程师,1998(6)：12-14.
[33]武强,董东林,石占华等.可视化地下水模拟评价新型软件系统与矿井防治水[J].煤炭科学技术,2000,28(2)：18-20.
[34]张少春,张伟.突水预报数值模拟研究中的相关问题探讨[J].陕西煤炭,2001(2)：46.
[35]李白英.预防矿井底板突水的“下三带”理论及其发展与应用[J].山东矿业学院学报,1999,18(4)：11-18.
[36]李白英.预防矿井底板突水的“下三带”理论及其发展和应用[J].山东矿业学院学报,1999,7(4)：32-36.
[37]黎良杰.采场底板突水机理的研究[D].北京：北京大学,1995.
[38]胡耀青.带压开采岩体水力学理论及应用[D].太原：太原理工大学,2003.
[39]赵阳升,胡耀青.承压水上采煤理论与技术[M].北京：煤炭工业出版社,2004.
[40]薛禹群,谢春红.地下水数值模拟[M].北京：科学出版社,2007.
[2]胡宏清.喀斯特煤矿山矿井突水预测及水害防治研究——以贵州黔西新红林煤矿为例[D].贵阳：贵州大学,2007.
[3]尹会永.潘西煤矿煤层底板突水机理及预测预报研究[D].青岛：山东科技大学,2005.
[4]王作宇,刘鸿泉.承压水上采煤[M].北京：煤炭工业出版社,1993.
[5]杨成田.专门水文地质学[M].北京：地质出版社,1981.7.
[6](波)M.鲍莱茨基,M.胡戴克著,于振海,刘天泉译.矿山岩体力学[M].北京：煤炭工业出版社,1985.
[7](苏)H.A多尔恰尼诺夫.赵义译.构造应力与井巷工程稳定性[M].北京：煤炭工业出版社,1984.
[8]B.H.G.布雷迪.E.T.布郎,地下采矿岩石力学[M],冯树仁等译,北京：煤炭工业出版社,1900.6
[9]陈泰生,蔡元龙.用模式识别方法预测煤矿突水[J].煤炭学报,1990,15(4)：63-67.
[10]Sight, R. N. & Jakeman, M. (2001):Strata Monitoring Investigations Around Longwall Panels Beneath the Cataract Reservoir.-Mine Water and the Environment, 20(2):55-64, Berlin u. a.
[11]Zhong, W. H. (1982):A new Method of Mine Drainage Prediction using Unit Static Resource Method.-Int.J.Mine Water,1(3):23-31, Granada.
[12]Bekendam, R. F.; Pott gens, J. J, Ground movements over the coal mines of southern Limburg, the Netherlandds, and their relation to rising mine waters, International Journal of Rock Mechanics and Mining Science & Geomechanics Abstracts, Volume:33, issue 8, December,1996, pp.377A
[13]Nisbe, G.Y. Low risk seen in dewatering plan for West Rand. S. A.Mining, Coal and Base Minerals.1986(2):15
[14]Larson, K. J.;Basagaoglu, H.;Marino, M. A. Prediction of optimal safe ground water yield and land subsidence in the Los Banos-Kettleman City area, California, using a calibrated numerical simulation model, Journal of Hydrology Volume:242, Issue:1-2, February 25,2001, pp.79-102
[15]王作宇,刘鸿泉等.承压水上采煤学科理论与实践[J].煤炭学报,1994,19(1)：40-46.
[16]王延福,靳德武,曾艳京等.岩溶矿井煤层底板突水系统的非线性特征初步分析[J].中国岩溶,1998,17(4)：331-341.
[17]靳德武,王延福.华北型煤田矿坑突水因素的信息分析[J].煤田地质与勘探,1998增刊26：30-31.
[18]王延福,靳德武,曾艳京.矿井煤层底板突水预测新方法研究[J].水文地质与工程地质,99(4)：33-37.
[19]王延福,庞西歧,靳德武等.岩溶煤矿矿井煤层底部突水预测的相空间重构[J].中国岩溶,1999,18(3)：219-227.
[20]王延福,庞西歧,靳德武等.岩溶矿井煤层底板突水的非线性动力学模型[J].中国岩溶,2000,19(1)：81-89.
[21]靳德武,陈健鹏,王延福等.煤层底板突水预报人工神经网络系统的研究[J].西安科技学院学报,2000,20(3)：214-217.
[22]靳德武,马培智,王延福.华北煤层底板突水的随机-信息模拟及预测[J].煤田地质与勘探,1998,26(6)：36-39.
[23]江东,王建华.基于神经网络预测煤层底板突水[J].灾害学,1999,14(1)：28-32
[24]黄国民,苏文智.利用神经网络预测煤层底板突水[J].华北地质学院学报,1996,19(2)：170-182.
[25]韩进.利用VB开发煤层底板突水预测应用软件[J].焦作工学院学报,2000,19(2)：106-108.
[26]高卫东,张培基,杨建政等.矿井煤层底板突水预测[J].江苏煤炭1999(3)：15-16.
[27]王茂连,李定龙.GIS在刘桥二矿煤层底板突水预测中的应用[J].煤炭地质与勘探,1998,25(5)：63-66.
[28]孙苏南,槽中初,郑世书等.用地理信息系统预测煤层底板突水[J].每天地质与勘探,1996,24(6)：40-43.
[29]江东,王建华.基于GIS的煤矿底板突水预测模型的构造与应用[J].中国地质灾害与防治学报,1999,10(1)：68-72.
[30]陈学星,刘伟韬,张文泉.预测底板突水的专家系统研究[J].煤矿自动化,2000(1)：5-8.
[31]王经明,孙本奎,李泉等.煤层底板突水的智能化监测[J].微型机与应用,1998(1)：46-47.
[32]懂书宁,王经明,高智连等.煤层底板突水监测系统的开发及应用[J].煤炭工程师,1998(6)：12-14.
[33]武强,董东林,石占华等.可视化地下水模拟评价新型软件系统与矿井防治水[J].煤炭科学技术,2000,28(2)：18-20.
[34]张少春,张伟.突水预报数值模拟研究中的相关问题探讨[J].陕西煤炭,2001(2)：46.
[35]李白英.预防矿井底板突水的“下三带”理论及其发展与应用[J].山东矿业学院学报,1999,18(4)：11-18.
[36]李白英.预防矿井底板突水的“下三带”理论及其发展和应用[J].山东矿业学院学报,1999,7(4)：32-36.
[37]黎良杰.采场底板突水机理的研究[D].北京：北京大学,1995.
[38]胡耀青.带压开采岩体水力学理论及应用[D].太原：太原理工大学,2003.
[39]赵阳升,胡耀青.承压水上采煤理论与技术[M].北京：煤炭工业出版社,2004.
[40]薛禹群,谢春红.地下水数值模拟[M].北京：科学出版社,2007.