煤矿复杂地质条件精细预测预报技术及应用

摘要

The underutilized 3D seismic prospecting information and disjointed with coalmine mining work geological information are common phenomena in geological support works. In allusion to main geological issues impacting safety production in the Guojiahe coalmine, using winning district 3D seismic prospecting results and coalmine mining work information integration and fusion, carried out studies on precise prediction and forecasting of coalmine geological conditions of coal seam thickness, geological structure, water disaster etc. Taking coalmine extraction and well logging data as constrained conditions established multi-parameter inversion coal seam thickness comprehensive prediction technology. Thus make the accuracy rate of coal seam thickness prediction 15% improved. Through seismic attribute fusion has improved minor structure identification ability, accuracy rate of predicted geological structure 30%improved. Based on 3D seismic information identified water-bearing sand mass spatial distribution, established water filling aquifer water yield property AHP structural model and water disaster hazard geological prediction method. The studied results have provided low cost but effective geological support to safe and efficient production of coalmines with complex geological condition.%三维地震勘探信息挖掘不足及与矿井采掘地质信息脱节是矿井地质保障工作中存在的普遍现象.针对影响郭家河煤矿安全生产的主要地质问题,利用采区三维地震勘探成果和矿井采掘信息的集成和融合,对煤层厚度、地质构造、水害等矿井地质条件进行精细预测预报研究.建立了以矿井开采和测井资料为约束条件、多参数反演煤层厚度的综合预测技术,使煤厚预测准确率提高15%;采用地震属性融合技术提高小构造的识别能力,预测地质构造准确率提高30%.基于三维地震信息识别含水砂体的空间分布,建立了充水含水层富水性层次分析结构模型和水害危险性地质预测方法.研究成果对复杂地质条件煤矿的安全高效生产提供了低成本但有效的地质支撑.