The Application of Least Square Algorithm to the Advanced Detection of the Blind Area Using Mine Transient Electromagnetic Method
详细信息
- 责任者：Lei Feng (School of Resources and Geoscience ; China University of Mining and Technology ; Xuzhou 221116 ; China) ; Liu Zhixin
- 刊名：Geophysical and Geochemical Exploration
- 出版年：2013
- 卷期：37(4)
- 关键词：最小二乘法 ; least-squares methods ; 瞬变电磁法 ; transient electromagnetic methods ; 山西 ; Shanxi Province
- 页码：p.734-736
- 图表：illus., 1 table, 6 refs.
- 分类号：1600
- issnNo：ISSN1000-8918
- isbnNo：CN11-1906/P
摘要
The authors have obtained a regression equation about one measuring point using the least square algorithm which acts on the electromagnetic field created only by geological anomaly body instead of by mixed signal.The apparent resistivity which is just on the verge of the real electrical resistivity of the coal seam can be predicted appropriately by using this equation.At the same time,the change of the apparent resistivity curve after using least square algorithm is very stable.The value of this new apparent resistivity in the blind area can be used to figure out the value of the observed signal inside the blind zone.Then the response message of unmixed secondary field which is caused only by the geological anomaly body comes out,and this unmixed secondary field can be regarded as the filed separated from the mixed filed,and it brings a much better result at the early stage of advanced detection.
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