Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (1): 254-261.doi: 10.13278/j.cnki.jjuese.201601302

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Weighted Laterally-Constrained Inversion of Time-Domain Airborne Electromagnetic Data

Yin Changchun, Qiu Changkai, Liu Yunhe, Cai Jing   

  1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China
  • Received:2015-05-19 Online:2016-01-26 Published:2016-01-26
  • Supported by:

    Supported by Projects on the Development of the Key Equipment of Chinese Academy of Sciences (ZDYZ2012-1-03),China Natural Science Foundation (41274121) and Ministry of Land and Resources of the Peoples Republic of China Old Mine Review Proiect(China Geological Survey Project Agreement[2013] No.214)

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Abstract:

The resistivity and thickness inverted by traditional single-site 1D methods for time-domain airborne electromagnetic (AEM) data frequently demonstrate sharp variations along a profile. This phenomenon occurs even between neighbor stations, resulting in non-smooth layer interfaces, which can seriously complicate the interpretation. Considering that AEM systems generally have a high spatial sampling rate, and the underground structures in areas like sedimentary formations are continuous, we use the weighted laterally-constrained inversion (WLCI) algorithm to invert the time-domain AEM data. Data fitting,lateral constraints on resistivity,thickness and depth are considered at the same time, and further the constraint strength is adjusted by using the weighting factors (chosen on geological information). Through testing the above algorithm on both synthetic and survey data, and comparing the results with those from conventional inversions, the WLCI algorithm is proved to be a very reliable and effective tool to process the time-domain AEM data. The inverted results by WLCI algorithm are smooth and continuous with clear layer interfaces. Weighting for different constrained parameters can also improve the stability of inversion. The weighting factors have an important impact on the inversion results. To choose the appropriate weighting factors, the field geological information should be taken into account.

Key words: airborne electromagnetic, time-domain, weighted laterally-constrained inversion, forward modeling, inversion

CLC Number: 

  • P631.3

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