Deep learning based expert system to automate time-domain electromagnetic data processing

Muhammad Rizwan Asif, Pradip Kumar Maurya, Anders Vest Christiansen, Jakob Juul Larsen, Esben Auken

Research output: Chapter in Book/Report/Conference proceedingAbstract in proceedingspeer-review

Abstract

Transient Electromagnetic (TEM) methods are routinely used to obtain detailed understanding of the subsurface, which may be used for a variety of applications such as groundwater mapping and mineral exploration. Modern TEM surveys, employing driving or flying during data collection, result in large datasets that may contain thousands of line kilometers of data. Parts of these data will often be contaminated by interference from man-made conductors, e.g. fences, buried power lines, known as “couplings”. If such disturbed data are inverted, the geological interpretation will be severely degraded in most cases. Therefore, couplings must be identified and removed from the data before inversion. The process of removing couplings is a time-consuming and highly sophisticated manual task. Machine learning based methods have been suggested as obvious automation tools, and the general approach has so far been to use large datasets of manually processed TEM data in a supervised learning approach. The problem with this is that it may be biased to local geological conditions and/or biased toward the individuals who perform the manual assessment (for instance a conservative versus optimistic coupling removal approach).
Original languageEnglish
Title of host publication34th Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2022)
Place of PublicationDenver
PublisherEnvironmental and Engineering Geophysical Society
Pages6
Number of pages1
ISBN (Electronic)978-1-7138-4513-3
Publication statusPublished - 2022
Event34th Symposium on the Application of Geophysics to Engineering and Environmental Problems, - Denver, United States
Duration: 20 Mar 202224 Mar 2022
Conference number: 34

Conference

Conference34th Symposium on the Application of Geophysics to Engineering and Environmental Problems,
Abbreviated titleSAGEEP 2022
Country/TerritoryUnited States
CityDenver
Period20/03/2224/03/22

Programme Area

  • Programme Area 2: Water Resources

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