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作 者:白铭波 霍军鹏 雷鹏翔 BAI Ming-bo;HUO Jun-peng;LEI Peng-xiang(Hanjiawan Coal Co.,Ltd.,Shaanxi North Shaanxi Mining Industry,Yulin 719000,China)
机构地区:[1]陕西陕北矿业韩家湾煤炭有限公司,陕西榆林719000
出 处:《煤炭技术》2020年第6期54-56,共3页Coal Technology
摘 要:为了实现TEM对浅埋目标体的有效勘查,基于Occam反演算法,计算中以自适应方式选取正则化因子,使目标函数达到最小,并采用光滑模型约束,提高反演的分辨率,计算时调整迭代步长实现最佳拟合。经理论模型测试,反演结果逼近模型的电性趋势,表明反演算法可靠。在陕北神府矿区浅埋煤层烧变岩水勘查中应用该技术,经后期钻探验证,探测效果良好。In order to realize the effective exploration of shallow buried objects by TEM,the regularization factor is selected adaptively based on Occam inversion algorithm to minimize the objective function.Smooth model constraints are adopted to improve the resolution of inversion,and the iteration step is adjusted to achieve the best fitting.The theoretical model test shows that the inversion results approximate the electrical trend of the model,which shows that the inversion algorithm is reliable.This technology has been applied to the exploration of shallow coal seam burnt rock water in Shenfu mining area,northern Shaanxi province,and proved to be effective by later drilling.
分 类 号:TD745[矿业工程—矿井通风与安全]
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