Quantitative Calculation of Aquifer Water Quantity Using TEM Data
Quantitative Calculation of Aquifer Water Quantity Using TEM Data
复制标题
利用 TEM 数据定量计算含水层水量
DOI：
10.15446/esrj.v21n1.63002
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发表时间：
2017
影响因子：
0.9
通讯作者：
Fubao Zhou
中科院分区：
文献类型：
--
作者：
Lanying Huang;Shengdong Liu;Bo Wang;Fubao Zhou
矿井水是煤矿开采的一大威胁。矿井水水量的检测一般采用钻孔法在煤矿巷道中进行，缺点是工作量大、效率低。为此，提出了瞬变电磁法（TEM），并对TEM资料进行了处理，以探测煤矿某目的层的产水性。通过矿井三维瞬变电磁法观测系统，获得了感应电压信号。瞬变电磁法三维数据体可以通过全时电阻率计算和时深转换得到。设定合适的视电阻率值后，即可确定含水层的空间分布范围。然后，利用含水层的充水系数估算含水层的水量。山西省聚德煤矿80101工作面4#煤层采空区富水性探测结果表明，该采空区视电阻率小于3 Ω.m，低阻异常带投影面积为22,383 m2。通过使用公式Q=KMS，我们可以估计水量为33，574 m3。为后期的疏浚和排水项目建造了三个钻孔，总出水量为33 089立方米。预测水量误差小于1.5%。因此，利用瞬变电磁法资料预测含水层含水量是可行的。
Mine water is a menace to coal mining. Mine water quantity is generally detected by drilling in the coal mine roadway, and the disadvantage is high workload and low efficiency. Therefore, transient electromagnetic method (TEM) was proposed, and TEM data was processed to detect the water yield property of a targeted layer in coal mine. Through a mine-oriented 3D Transient Electromagnetic Method observing system, the signal of induced voltage is obtainable. Transient Electromagnetic Method 3D data volume can be calculated through the calculation of all-time resistivity and time-depth conversion. After an appropriate apparent resistivity value is set, the spatial distribution range of an aquifer can be determined. Then, with water-filling coefficient of the aquifer, its water quantity can be estimated. The water yield property detection results in the No.4 coal seam goaf of the No.80101 workface in Jude Mine of Shanxi, China, demonstrates that the apparent resistivity of this goaf is less than 3 Ω.m, and the projection area of low-resistivity anomaly zone is 22,383 m2. By using the formula Q=KMS, we can estimate that the water volume is 33,574 m3. Three boreholes have been constructed for the later dredging and drainage project, which results in a total water yield of 33,089 m3. The error percentage of the predicted water quantity is less than 1.5%. It can thus be concluded that it is feasible to predict aquifer water content with TEM data.
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DOI：
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