The Application of Least Square Algorithm on the Blind Area of Advanced Detection Using Mine Transient Electromagnetic Method
In early stage of advanced detection using mine transient electromagnetic method,the transmitter burst turn off time and the composition of primary field and secondary field mixed together will have a bad effect on the transient electromagnetic field of early stage of advanced detection.The self-inductance and mutual induction phenomenon of the coil and the geoelectric cross section also have an influence up on the transient electromagnetic field of early stage.So in the early time of advanced detection,the data we collected are not stable or even worse because of the early transient electromagnetic field with complicated nature,and we get a blind area of advanced detection.We can get a regression equation about one measure point using the least square algorithm which acts on the electromagnetic field created only by geological anomaly body but not the mixed signal.Then the apparent resistivity of the blind area of advanced detection can be predicted appropriately using this regression equation,we get this apparent resistivity which is just on the verge of the real electrical resistivity of the coal seam.At the same time,the change of the apparent resistivity curve after use of least square algorithm is very stable.After that,we can use the value of this new apparent resistivity in the blind area to figure out the value of observed signal on the inside of the blind zone.Then we get the response message of unmixed secondary field which is caused just by the geological anomaly body,and this unmixed secondary field can be looked as the filed separated from the mixed filed include the primary field and the secondary field.So it will bring a much better result in early stage of advanced detection using mine transient electromagnetic method than the result before we use the method called least square algorithm.
Mine transient electromagnetic method advanced detection least square algorithm blind area
Lei Feng Liu Zhixin Wang Mingming
School of Resources and GeoScience, China University of Mining and Technology, Xuzhou, PRC
国际会议
长沙
英文
57-60
2012-06-15（万方平台首次上网日期，不代表论文的发表时间）