基于统计学及多元线性回归的小断层研究及预测  

Prediction on small faults based on statistics and multiple linear regression

作　　者：滕超[1] 施龙青[1,2] 邱梅[1,2] 

机构地区：[1]山东科技大学地球科学与工程学院,山东青岛266590 [2]山东省沉积成矿作用与沉积矿产重点实验室,山东青岛266590

出　　处：《山东煤炭科技》2015年第7期135-137,共3页Shandong Coal Science and Technology

基　　金：教育部高等学校博士学科点专项科研基金(高等学校博士学科点专项科研基金);青岛经济技术开发区重点科技发展计划项目(其他);山东科技大学科研创新团队支持计划(其他)

摘　　要：针对矿井小断层发育复杂、切割煤层、影响采煤效率、生产安全等问题,以华恒矿11、13、15煤层小断层资料为依托,通过系统定量分析断层统计学特征,揭示了华恒井田小断层发育特征,在此基础上,利用散点图研究影响因素之间相关性,确定延展长度主要影响因素是断层落差和断层倾角,利用多元线性回归分析法,建立了小断层预测模型,通过实际数据检验,论证模型的可靠性,对煤层开采具有一定指导意义。Problems against mining safty and efficiency which are caused by small faults happen frequently. Based on small faults data from No.11, 13, 15 coal seam, the paper studied the statistical characteristics of these faults and found their development rules. Then the correlations among factors were studied by scatter diagram. It turns out that the extended length of faults is related to corresponding fault factors, fault dip and fault throw. A prediction model based on multiple linear regression is built. The dependability of the model is examined by operational data. The model is of some significance for mining.

关 键 词：小断层预测 多元回归分析 统计学特征 

分 类 号：P542.31[天文地球—构造地质学]