Prediction of Water Inflow in Mine Face on Visual Modflow
张浩楠 ZHANG Hao-nan
（乌审旗蒙大矿业有限责任公司，鄂尔多斯 017307）
（Wushen Banner Mengda Mining Co.，Ltd.，Ordos 017307，China）
摘要： 煤矿开采过程中的工作面的涌水量预测是防治水工作的基础，为准确地预测纳林河二号煤矿31121工作面开采过程中的涌水量，通过对矿区水文地质条件的概化研究，结合数值模拟软件Visual Modflow，建立了数值模型预测涌水量，并与传统解析法计算的涌水量以及矿井实测涌水量进行对比分析，结果表明Visual Modflow软件预测涌水量较为接近实际涌水量，方法合理可靠且具有较强的操作性。
Abstract: Prediction of water inflow in the working face during coal mining is the basis for water prevention and control. In order to accurately predict the amount of water inflow during the mining of 31121 working face in Nalinhe No. 2 Coal Mine, through a generalized study on the hydrogeological conditions of the mining area Combined with the numerical simulation software Visual Modflow software, a numerical model was established to predict the amount of water inflow and compared with the amount of water inflow calculated by the traditional analytical method and the actual measured amount of water in the mine. And has strong operability.
关键词： Visual Modflow；矿井工作面；涌水量；预测
Key words: Visual Modflow；mine face；water inflow；comparison
中图分类号：TD742 文献标识码：A 文章编号：1006-4311（2022）23-117-03
DOI:10.3969/j.issn.1006-4311.2022.23.038.
文章出处：张浩楠. 基于Visual Modflow的采煤工作面涌水量预测研究[J]. 价值工程,2022,41(23):117-119.
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