Evaluation of Water Inrush Risk from Coal Floor and Prediction Software Development

Abstract

Based on systematic collection of the hydrogeological data of coal mine, we analyzed the factors affecting water inrush from coal floor and determined the major factors. We used the fuzzy clustering method to evaluate the water inrush risk from coal floor in order to solve the evaluating limitation of water inrush risk from coal floor by the water inrush coefficient method. The fuzzy clustering method gave a comprehensive consideration of many factors affecting water inrush from coal floor and it solved the problems of evaluating critical values by the water inrush coefficient method. To rapidly predict the water inrush risk from coal floor and improve the prediction accuracy, we developed the prediction software for water inrush risk from coal floor. On the theoretical basis of water inrush coefficient method and fuzzy clustering method, we used Visual Basic 6.0 design language as development platform, combining Access database and Matlab software, to develop prediction software, which had a zoning evaluation of water inrush risk. Take the Xinglongzhuang coal mine for example, the major factors affecting water inrush risk from coal floor were head pressure of Ordovician limestone aquifer, aquifuge thickness, geological structure and water abundance of Ordovician limestone aquifer. And we had a zoning evaluation of its water inrush risk. The evaluation results provide scientific basis for working out measures to prevent and control the water of Ordovician limestone aquifer to Xinglongzhuang coal mine. It also has important guiding significance to exploitation safety of coal mining. Because the prediction software has common applicability, it provides powerful support for rapidly correct evaluation of water inrush risk to other coal mines.