Water-Rich Evaluation of Luohe Formation in Xiaozhuang Coal Mine Based on Water-Rich Key Strata
The pore fracture aquifer of the Luohe Formation sandstone in the Cretaceous seriously threatens the safe production of the mine in the Binchang mining area.The reasonable prediction of its water-rich is of great significance to the mine water prevention and control work.Taking Xiaozhuang Coal Mine as an example,starting from the three aspects of the overall characteristics,local characteristics and geological structure characteristics of the Luohe Formation,the lithology combination index and thickness of Luohe Formation were selected as the influencing factors of the overall characteristics,and the lithology,thickness,core recovery rate,burial depth and flushing fluid consumption of key strata were selected as the evaluation indexes of the water-rich characteristics of the key strata.The structure in the mine field was fractal and quantified to evaluate the structural characteristics of the mine field.A method based on particle swarm optimization to optimize support vector machine model was proposed to predict the water-rich of the key strata of the Luohe Formation.The analytic hierarchy process was used to determine the weight of the three aspects of the factor thematic map,and the ArcGIS software was used for multi-source information fusion to realize the evaluation and zoning of the water-rich of the Luohe Formation.The results show that the water-rich intensity of the Luohe Formation water-filled aquifer in Xiaozhuang Coal Mine decreases from northwest to southeast.The strong water-rich areas are mainly distributed in the western and northern regions of the mine field.The medium water-rich area is mainly distributed along the northwest and southwest of the well field,and the distribution area is wider.The remaining areas are weaker to weak water-rich areas.After comparing the prediction results with the actual situation of the mine,it is considered that the prediction results of this method are in good agreement with the actual situation.
Water-rich key strataSupport vector machineParticle swarm optimizationConstruct fractalMulti-source information fusion
万方数据
维普
