Robust conductance estimates from spatial and temporal derivatives of borehole electromagnetic data

dc.contributor.authorKolaj, M.
dc.contributor.authorSmith, Richard S.
dc.date.accessioned2019-08-30T20:09:46Z
dc.date.available2019-08-30T20:09:46Z
dc.date.issued2014-05-01
dc.descriptionThis paper is © 2019 Society of Exploration Geophysicists. The posting is available free of charge and its use is subject to the SEG terms and conditions: https://seg.org/Terms-of-Useen_US
dc.description.abstractThe conductance of an infinite uniformly conductive thin sheet can be calculated using the ratio of the temporal gradient and the spatial gradient in the normal direction of any component (or combination of components) of the secondary magnetic field. With standard borehole electromagnetic (BHEM) systems, the temporal gradient can either be measured or readily calculated from transient-magnetic-field data, and the spatial gradient in the normal direction can be estimated using adjacent stations. Synthetic modeling demonstrates that, for a finite thin sheet, the magnitude of the field provides a robust and reliable apparent conductance in typical three-component BHEM survey configurations. The accuracy in which the apparent conductance can be calculated is hindered by low spatial gradient signal values and can only be reliably estimated where the fields are large (i.e., in close proximity to the target). In a field example of BHEM data collected over a massive sulfide deposit in Sudbury, Ontario, Canada, the spatial gradient could be calculated over a roughly 100-m-wide zone, and a consistent apparent conductance could be calculated at each delay time using the magnitude of the field. Increases in the apparent conductance with increasing delay time are likely due to currents migrating into more conductive parts of the body. The apparent conductance values were also consistent with Maxwell models and time constant derived conductance estimates. This simple and robust apparent conductance is ideal as a first-pass estimate for target discrimination, grade estimation, and starting values for forward and/or inversion modeling.en_US
dc.description.sponsorshipNSERC, Vale, Sudbury Integrated Nickel Operations, a Glencore Company, Wallbridge Mining, KGHM International, and the Centre for Excellence in Mining Innovation (CEMI).en_US
dc.identifier.citationKolaj, M., and Smith, R., 2014, Robust conductance estimates from spatial and temporal derivatives of borehole electromagnetic data: Geophysics, 79(3), E115–E123. doi: https://doi.org/10.1190/geo2013-0387.1en_US
dc.identifier.issn0016-8033
dc.identifier.issn1942-2156
dc.identifier.urihttps://laurentian.scholaris.ca/handle/10219/3329
dc.language.isoenen_US
dc.publisherSociety of Exploration Geophysicistsen_US
dc.relation.isversionofhttps://doi.org/10.1190/geo2013-0387.1
dc.subjectBoreholeen_US
dc.subjectElectromagneticsen_US
dc.subjectMiningen_US
dc.titleRobust conductance estimates from spatial and temporal derivatives of borehole electromagnetic dataen_US
dc.typeArticleen_US

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