摘要
为准确预测新疆北疆某煤矿涌水量,探讨不同方案的预测精度,基于水文钻孔等资料,利用GMS中Solid模块、Modflow模块构建出与实际相符的计算模型。对矿区首采区和二采区进行了不考虑采掘次序、仅考虑采掘次序、同时考虑采掘次序和采掘进程、大井法等4种方案的涌水量预测计算,并与实测涌水量进行对比分析。研究表明:同时考虑采掘次序和采掘进程因素时的矿区涌水量预测精度最高,矿区总涌水量为实际排水量的108.1%,不考虑采掘次序、仅考虑采掘次序和大井法的预测精度依次减小,分别是实际排水量的109.2%、127.4%和185.3%。同时考虑采掘次序和采掘进程因素时首采区涌水量预测结果为1189m3/d,二采区涌水量预测结果为1347m3/d,该方案的预测思路可为相似地质条件的矿井的涌水量预测提供借鉴。
In order to accurately predict the water inflow of a coal mine in northern Xinjiang,the water inflow prediction accuracy of different schemes are discussed in this paper.Based on hydrological drilling and other relevant data,the solid module and Modflow module in grounder modeling systems (GMS) are used to build a calculation model that is consistent with the actual situation.The prediction and calculation of water inflow in the first mining area and the second mining area are carried out in the following four schemes,namely without considering the mining sequence scheme,only considering the mining sequence scheme,simultaneously considering the mining sequence and the mining process scheme,and the large well method scheme,and are compared with the measured water inflow.The study shows that the prediction accuracy of water inflow in the mining area is the highest when both the mining sequence and the mining process are taken into consideration,which is108.1% of the actual water displacement.The prediction accuracy is gradually decreased in the sequence of without considering the mining sequence scheme,only considering the mining sequence scheme and the large well method scheme,which are109.2%,127.4% and185.3% of the actual water displacement respectively.Considering the factors of mining sequence and mining process in a simultaneous way,the prediction result of water inflow in the first mining area is1189 m3/d, and that in the second mining area is1347 m3/d.The prediction idea of this scheme could provide reference for the prediction of water inflow in mines with similar geological conditions.
作者
袁涵
贾超
杨晟
张建配
陈阳
YUAN Han;JIA Chao;YANG Sheng;ZHANG Jianpei;CHEN Yang(School of Civil Engineering,Shandong University,Jinan250061,China;Institute of Marine Science and Technology,Shandong University,Qingdao266237,China)
出处
《中国矿业》
北大核心
2019年第A01期248-253,258,共7页
China Mining Magazine
