Joint inversion of TEM and DC in roadway advanced detection based on particle swarm optimization

被引:47
作者
Cheng, Jiulong [1 ]
Li, Fei [2 ]
Peng, Suping [1 ]
Sun, Xiaoyun [3 ]
Zheng, Jing [1 ]
Jia, Jizhe [1 ]
机构
[1] China Univ Min & Technol, State Key Lab Coal Resources & Safe Min, Beijing 100083, Peoples R China
[2] North China Inst Sci & Technol, Key Lab Mine Disaster Prevent & Control, Beijing 101601, Peoples R China
[3] Shijiazhuang Tiedao Univ, Sch Elect & Elect Engn, Shijiazhuang 050043, Peoples R China
关键词
Whole-space; Advanced detection; Transient electromagnetic method; Direct current method; Joint inversion; PSO algorithm; TRAVEL-TIME DATA; WHOLE-SPACE; ALGORITHM; MINE;
D O I
10.1016/j.jappgeo.2015.09.008
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Transient electromagnetic method (TEM)and direct current method (DC)are two key widely applied methods for practical roadway detection, but both have their limitations. To take the advantage of each method, a synchronous nonlinear joint inversion method is proposed based on TEM and DC by using particle swarm optimization (PSO)algorithm. Firstly, a model with double low resistance anomaly and interference is constructed to test the performance of the method. Then the independent inversion and joint inversion are calculated by using the model built above. It is demonstrated that the joint inversion helped in improving the interpretation of the data to get better results. It is because that the suppression of interference and separation of the resistivity anomalies ahead and the back of the roadway working face using the proposed method. Finally, the proposed method was successfully used in a coalmine in Huainan coalfield in east China to demonstrate its practical usefulness. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:30 / 35
页数:6
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