大海则煤矿矿井水定量预测研究
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摘要
在矿井现场调查的基础上,应用定量分析和定性分析的基本原理,对大海则煤矿矿井地质及水文地质条件、矿井充水条件以及矿井水灾害影响因素进行了深入的分析和研究。在此基础上借助定量预测中的神经网络预测法,根据研究区矿井充水水源、充水通道、矿井水灾害影响因素,建立了BP神经网络模型,应用于大海则煤矿主要开采煤层,对井田内各水文钻孔的单位涌水量进行了预测,绘制了单位涌水量等值线图,并结合烧变岩积水区分布图、老窑积水区分布图绘制了矿井水灾害易发区域分布图。本研究认为大气降水、烧变岩区积水、老窑积水是矿井主要充水水源;地表沟谷表层裂隙和第四系松散层裂隙是矿井主要充水通道;矿井水灾害易发区域主要集中在井田西南部河谷区附近。在此基础上提出了几点矿井水防治建议,为今后大海则煤矿矿井水防治工作提供了理论和技术参考。
Based on the mine field survey, this paper mianly applied the basic principle of quantitative analysis and qualitative analysis to further researched geological and hydrogeological conditions, water filled condition, as well as water disasters factors of DaHaize coal mine. And then with the method of neural networks quantitative prediction, neural networks prediction in quantitative prediction was established according to the water source of inundation in mine, water passageway, and mine water disasters factors in this district, which was used for main exploited coal seam and to predict units-inflow of each hydrogeologic drilling in coal field. At the same time, the isogram chart of units-inflow and the mine water disaster-prone region map had been drew in the view of the water-logged distribution map of the fritted rock and the old pit. This study concluded that: meteoric water, logged water of fritted rock and old pit were the main source of water; the fractures in the superficial valley and quaternary sediments were major filled water passageway of mine; mine water disaster-prone region was mainly concentrated near valley area in the southwest of the mine field. From the conclusion above, this study came up with several advices for preventing water disaster of coal mine, which offered theory and technical guideline for preventing water disaster of DaHaize coal mine.
Based on the mine field survey, this paper mianly applied the basic principle of quantitative analysis and qualitative analysis to further researched geological and hydrogeological conditions, water filled condition, as well as water disasters factors of DaHaize coal mine. And then with the method of neural networks quantitative prediction, neural networks prediction in quantitative prediction was established according to the water source of inundation in mine, water passageway, and mine water disasters factors in this district, which was used for main exploited coal seam and to predict units-inflow of each hydrogeologic drilling in coal field. At the same time, the isogram chart of units-inflow and the mine water disaster-prone region map had been drew in the view of the water-logged distribution map of the fritted rock and the old pit. This study concluded that: meteoric water, logged water of fritted rock and old pit were the main source of water; the fractures in the superficial valley and quaternary sediments were major filled water passageway of mine; mine water disaster-prone region was mainly concentrated near valley area in the southwest of the mine field. From the conclusion above, this study came up with several advices for preventing water disaster of coal mine, which offered theory and technical guideline for preventing water disaster of DaHaize coal mine.
引文
[1]虎维岳.矿山水害防治理论与方法[M].北京:煤炭工业出版社, 2005.
[2]张元标.基于定量预浏技术的预测支持系统[D].成都理工大学,2005.5.
[3]李业,周绍华.预测学[M].广州:华南理工大学出版社, 1994.6.
[4]夏安邦,王硕等.定量预测引论[M].南京:东南大学出版社, 2001.
[5]张文泉.矿井(底板)突水灾害的动态机理及综合判测和预报软件开发研究, [D], 1999.
[6]刘兴海.神东矿区含水层含水特征分析[J].中国煤炭, 2005, 31( 11):44～46.
[7]周如禄,戴振学,李颖.矿井涌水量预测的理论与实践[J].煤炭科学技术, 1998, 26( 6): 47～49.
[8]袁会. AutoCAD和Surfer在煤矿等值线图绘制中的应用[J].山西建筑,2008, 34 (23): 357～358.
[9]严绍瑾,彭永清,郭光.神经网络BP模型用于月降水预报的研究[J].热带气象学报, 1995, 11( 3): 252～257.
[10]崔辉霞,杨文强,赵牧华.定量预测煤厚方法研究、影响因素分析及应用[J].物探化探计算技术, 2006, 28( 4): 315～318.
[11]姜素,孙亚军,杨兰,凌成鹏.基于BP神经网络方法的矿井涌水量预测[J].中国煤田地质, 2007, 19( 2): 38～40.
[12]闵惜琳,刘国华.用MATLAB神经网络工具箱开发BP网络应用[J].计算机应用, 2001, 21( 8): 163～164.
[13]向国全,董道珍. BP模型中的激励函数和改进的网络训练法[J].计算机研究与发展, 1997, 34( 2): 113～117.
[14]桂现才. BP神经网络在MATLAB上的实现与应用[J].湛江师范学院学报, 2004, 25 ( 3): 79～83.
[15]王永红,沈文.中国煤矿水害预防及治理[M].北京:煤炭工业出版社,1997.6.
[16]陈以新. MATLAB的几则程序设计经验[J].计算机应用, 1999 ,19(09):54～50.
[17] Zhongfu Ye, Li Xiang, Xu Xu. DOA Estimation With CircularArray via Spatial Averaging Algorithm [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS,2007, (6):74～75.
[18]兰太权.论“单位涌水量与导水系数”[J].地下水,2007,29( 05):43～68.
[19]王洪胜,张学真.潜水含水层导水系数空间分布特征的初步分析[J].地下水, 2005, 27( 4): 251～253.
[20] Robert.J.Hoeksema , Peter.K.Kitanidis, An application of geostatistical approach to the inverse problem in two-dimensional groundwater modeling. Water resource research,1984,20(07):1003～1020.
[21]周翔,朱学愚,文成玉,陈崧.基于遗传学习算法和BP算法的神经网络在矿坑涌水量计算中的应用[J].水利学报,2002,12( 05):59～63.
[22]王红亮,张远智.一种应用Surfer软件快速进行地形图绘制的方法[J].城市勘测, 2007, 02( 03): 102～104.
[23]董舒. Surfer在绘制水下地形图中的应用[J].江苏水利,2005,12(10):13～16.
[24]李随民,姚书振,韩玉丑. Surfer软件中利用趋势面方法圈定化探异常[J]. 2007, 43( 02): 72～75.
[25]张洪磊,张庆霖,张怀建.承压水上煤层开采的探讨[J].山东煤炭科技,2008, 1: 121～122.
[26]李小青,刘其暄.复杂水文地质条件下矿井水的综合治理[J].能源技术与管理, 2005, 3: 17～18.
[27]任印国,魏永强.使用Surfer软件绘制地质图件和处理地质数据的方法[J].测绘技术装备, 2006(1): 34～36.
[28]雁崖矿,刘亚军.浅谈雁崖矿矿井水的预测及防止[J].同煤科技,1999,4: 18～19.
[29]许世华.矿井水的来源及其防治措施[J].矿业安全与环保, 2002 , 6( 29): 84～88.
[30]中国矿院煤田地质勘探教研室.煤矿地质学[M].北京:煤炭工业出版社, 1979.
[31]戴群力,龚玉红.试论矿井水灾害的预测及预防[J].湖南地质, 1993,12( 1): 51～54.
[32]翟裕生.关于矿田构造研究的若干问题[J].地质论评, 1984, 30( 1):19～25.
[33]郭启文,王金启,陈晓国,李沛涛,刘如明.烧变岩突水灾害治理技术[J].中州煤炭, 2001, 5: 65～66.
[34]肖丹,秦文贵,邸志强.模糊故障树分析法及其在矿井水灾评价中的应用[J].矿业安全与环保, 2006, 33( 05): 43～50.
[35]佟凤健,孟新华,刘生中.构造控水理论在煤矿生产中的指导作用[J].煤矿安全, 1999, 5: 11～12.
[36]李随民,姚书振,周宗桂.矿产资源定量预测的研究现状[J].地质找矿论丛, 2007, 22( 1): 9～13.
[37]尹会永.潘西煤矿煤层底板突水机理及预测预报研究, [D], 2005.
[38]刘杰,何为军.我国矿井水处理的现状及其资源化利用[J].煤炭加工与综合利用, 2007, 3: 37～40.
[39]张春霞.矿井水文地质管理系统与水害预测系统, [D], 2004.
[40]何广东,邵立南,蒋先锋,何绪文.神东矿区矿井水井下处理工艺研究[J].煤炭工程, 2007, 8: 79～81.
[41]桂祥友,郁钟铭.矿井水灾害预测的安全评价研究[J].中国矿业,2007,15( 5): 35～41.
[42]杨宏科.榆神府矿区水环境现状预测及防治对策初探[J].中国煤田地质, 1999, 11( 4): 37～40.
[43]刘杰.浅谈影响煤矿安全生产的地质因素[J].西北煤炭,2006,4( 1):44～46.
[44] Butts , M.B.,Jensen,K.H , Experimental and numerical study of multiphase flow and transport. american geophysical Union, AGU,FallMeeting,SanFrancisco,CA.EOS, Transactions of the AGU,1995.
[45] Zheng Xilai,Qiu Hanxue, Numerical analysis of the transport and restoration schemes of aqueous oil in soils,Environmental Geology,2001.
[46]刘正林,孙吉益.矿井水文地质条件的定量评价方法[J].煤炭工程师,1999, 3: 38～41.
[47]宋文杰.基于GIS的煤盆地断裂网络分析及其应用, [D], 2005.
[48] http://www.gzcoal.gov.cn/pages/Page_Info.aspx?News_Id=4639
[49] http://www.anquangang.org
[50] http://www.cepee.com/zszl/views.php?infoid=3415
[2]张元标.基于定量预浏技术的预测支持系统[D].成都理工大学,2005.5.
[3]李业,周绍华.预测学[M].广州:华南理工大学出版社, 1994.6.
[4]夏安邦,王硕等.定量预测引论[M].南京:东南大学出版社, 2001.
[5]张文泉.矿井(底板)突水灾害的动态机理及综合判测和预报软件开发研究, [D], 1999.
[6]刘兴海.神东矿区含水层含水特征分析[J].中国煤炭, 2005, 31( 11):44～46.
[7]周如禄,戴振学,李颖.矿井涌水量预测的理论与实践[J].煤炭科学技术, 1998, 26( 6): 47～49.
[8]袁会. AutoCAD和Surfer在煤矿等值线图绘制中的应用[J].山西建筑,2008, 34 (23): 357～358.
[9]严绍瑾,彭永清,郭光.神经网络BP模型用于月降水预报的研究[J].热带气象学报, 1995, 11( 3): 252～257.
[10]崔辉霞,杨文强,赵牧华.定量预测煤厚方法研究、影响因素分析及应用[J].物探化探计算技术, 2006, 28( 4): 315～318.
[11]姜素,孙亚军,杨兰,凌成鹏.基于BP神经网络方法的矿井涌水量预测[J].中国煤田地质, 2007, 19( 2): 38～40.
[12]闵惜琳,刘国华.用MATLAB神经网络工具箱开发BP网络应用[J].计算机应用, 2001, 21( 8): 163～164.
[13]向国全,董道珍. BP模型中的激励函数和改进的网络训练法[J].计算机研究与发展, 1997, 34( 2): 113～117.
[14]桂现才. BP神经网络在MATLAB上的实现与应用[J].湛江师范学院学报, 2004, 25 ( 3): 79～83.
[15]王永红,沈文.中国煤矿水害预防及治理[M].北京:煤炭工业出版社,1997.6.
[16]陈以新. MATLAB的几则程序设计经验[J].计算机应用, 1999 ,19(09):54～50.
[17] Zhongfu Ye, Li Xiang, Xu Xu. DOA Estimation With CircularArray via Spatial Averaging Algorithm [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS,2007, (6):74～75.
[18]兰太权.论“单位涌水量与导水系数”[J].地下水,2007,29( 05):43～68.
[19]王洪胜,张学真.潜水含水层导水系数空间分布特征的初步分析[J].地下水, 2005, 27( 4): 251～253.
[20] Robert.J.Hoeksema , Peter.K.Kitanidis, An application of geostatistical approach to the inverse problem in two-dimensional groundwater modeling. Water resource research,1984,20(07):1003～1020.
[21]周翔,朱学愚,文成玉,陈崧.基于遗传学习算法和BP算法的神经网络在矿坑涌水量计算中的应用[J].水利学报,2002,12( 05):59～63.
[22]王红亮,张远智.一种应用Surfer软件快速进行地形图绘制的方法[J].城市勘测, 2007, 02( 03): 102～104.
[23]董舒. Surfer在绘制水下地形图中的应用[J].江苏水利,2005,12(10):13～16.
[24]李随民,姚书振,韩玉丑. Surfer软件中利用趋势面方法圈定化探异常[J]. 2007, 43( 02): 72～75.
[25]张洪磊,张庆霖,张怀建.承压水上煤层开采的探讨[J].山东煤炭科技,2008, 1: 121～122.
[26]李小青,刘其暄.复杂水文地质条件下矿井水的综合治理[J].能源技术与管理, 2005, 3: 17～18.
[27]任印国,魏永强.使用Surfer软件绘制地质图件和处理地质数据的方法[J].测绘技术装备, 2006(1): 34～36.
[28]雁崖矿,刘亚军.浅谈雁崖矿矿井水的预测及防止[J].同煤科技,1999,4: 18～19.
[29]许世华.矿井水的来源及其防治措施[J].矿业安全与环保, 2002 , 6( 29): 84～88.
[30]中国矿院煤田地质勘探教研室.煤矿地质学[M].北京:煤炭工业出版社, 1979.
[31]戴群力,龚玉红.试论矿井水灾害的预测及预防[J].湖南地质, 1993,12( 1): 51～54.
[32]翟裕生.关于矿田构造研究的若干问题[J].地质论评, 1984, 30( 1):19～25.
[33]郭启文,王金启,陈晓国,李沛涛,刘如明.烧变岩突水灾害治理技术[J].中州煤炭, 2001, 5: 65～66.
[34]肖丹,秦文贵,邸志强.模糊故障树分析法及其在矿井水灾评价中的应用[J].矿业安全与环保, 2006, 33( 05): 43～50.
[35]佟凤健,孟新华,刘生中.构造控水理论在煤矿生产中的指导作用[J].煤矿安全, 1999, 5: 11～12.
[36]李随民,姚书振,周宗桂.矿产资源定量预测的研究现状[J].地质找矿论丛, 2007, 22( 1): 9～13.
[37]尹会永.潘西煤矿煤层底板突水机理及预测预报研究, [D], 2005.
[38]刘杰,何为军.我国矿井水处理的现状及其资源化利用[J].煤炭加工与综合利用, 2007, 3: 37～40.
[39]张春霞.矿井水文地质管理系统与水害预测系统, [D], 2004.
[40]何广东,邵立南,蒋先锋,何绪文.神东矿区矿井水井下处理工艺研究[J].煤炭工程, 2007, 8: 79～81.
[41]桂祥友,郁钟铭.矿井水灾害预测的安全评价研究[J].中国矿业,2007,15( 5): 35～41.
[42]杨宏科.榆神府矿区水环境现状预测及防治对策初探[J].中国煤田地质, 1999, 11( 4): 37～40.
[43]刘杰.浅谈影响煤矿安全生产的地质因素[J].西北煤炭,2006,4( 1):44～46.
[44] Butts , M.B.,Jensen,K.H , Experimental and numerical study of multiphase flow and transport. american geophysical Union, AGU,FallMeeting,SanFrancisco,CA.EOS, Transactions of the AGU,1995.
[45] Zheng Xilai,Qiu Hanxue, Numerical analysis of the transport and restoration schemes of aqueous oil in soils,Environmental Geology,2001.
[46]刘正林,孙吉益.矿井水文地质条件的定量评价方法[J].煤炭工程师,1999, 3: 38～41.
[47]宋文杰.基于GIS的煤盆地断裂网络分析及其应用, [D], 2005.
[48] http://www.gzcoal.gov.cn/pages/Page_Info.aspx?News_Id=4639
[49] http://www.anquangang.org
[50] http://www.cepee.com/zszl/views.php?infoid=3415