A revised inversion model parameter formulation for fixed wing transmitter loop – towed bird receiver coil time-domain airborne electromagnetic data

Richard Lane; Ross Brodie; Andrew Fitzpatrick

doi:10.1071/ASEG2004ab082

ISSN: 2202-0586
E-ISSN:

oa A revised inversion model parameter formulation for fixed wing transmitter loop – towed bird receiver coil time-domain airborne electromagnetic data
Authors Richard Lane^a, Ross Brodie^b and Andrew Fitzpatrick^c
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^a CRCLEME (Geoscience Australia), [email protected] ^b CRCLEME (Geoscience Australia), [email protected] ^c CRCLEME (Geoscience Australia), [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2004, Issue ASEG2004 - 17th Geophysical Conference, Dec 2004, p. 1 - 4
DOI: https://doi.org/10.1071/ASEG2004ab082
- Published online: 01 Dec 2004

Abstract

The conversion of data to conductivity for fixed wing transmitter loop - towed bird receiver coil time-domain airborne electromagnetic (AEM) systems, such as TEMPEST, would ideally utilise complete knowledge of the system geometry and measurements for all three mutually perpendicular components of the received signal. In practice, not all of this information is available.

We use a layered inversion that integrates TEMPEST survey data with a priori conductivity information from the survey area. Total (primary plus secondary) field data from both the X (horizontal in-line) and Z (vertical) components are used. Receiver coil pitch angle and transmitter loop to receiver coil horizontal and vertical separation parameters are included as unknowns in the inversion. Borehole conductivity data are used to build a reference conductivity model that acts as a constraint to stabilise the partitioning of the measured signal into primary field and ground response contributions. Smoothness constraints are applied to the conductivity values in the ID model.

The quality of the inversion output was assessed through comparison of the conductivity predictions with borehole conductivity values and shallow single-frequency ground EM measurements. This showed that the new formulation more accurately predicted conductivity than two previous sets of conductivity predictions.

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References

Brodie, R., Lane, R., and Gibson, D., 2002, Comparison of AEM and borehole conductivity data, Gilmore Project: Unpublished report for CRC LEME.
Buselli, G., Hunter, D., Munday, T., and Wilkinson, K., 2003, Ground-based geophysical measurements prior to AEM surveys over salinity-affected agricultural areas: Submitted to Exploration Geophysics.
Coggon, J., 2000, Personal communication concerning the processing of TEMPEST data from the North Lake Carey Survey flown over the Wallaby deposit in 1999.
Green, A., and Lane, R., 2003, Estimating noise levels in AEM data: Extended abstract, ASEG 16th Geophysical Conference and Exhibition, Adelaide.
Lane, R., Green, A., Golding, C., Owers, M., Pik, P., Plunkett, C., Sattel, D., and Thorn, B., 2000, An example of 3D conductivity mapping using the TEMPEST airborne electromagnetic system: Exploration Geophysics, 31, 162-172.
Lane, R., Brodie, R., and Fitzpatrick, A., 2003, Constrained inversion of AEM data from St George, Queensland, Australia: Unpublished CRC LEME report.
Macnae, J.C., King, A., Stolz, N, Osmakoff A., Blaha, A., 1998, Fast AEM data processing and inversion: Exploration Geophysics, 29, 163-169.
Menke, W., 1989, Geophysical data analysis: discrete inverse theory: Academic Press.
Oldenburg, D.W., and Li, Y., 1999, Estimating depth of investigation in dc resistivity and IP surveys: Geophysics, 64, 403-416.
Owers, M., Chambers, P., and Sattel, D., 2001, Acquisition and processing report, St George TEMPEST Survey: Fugro Airborne Survey report to the Bureau of Rural Sciences for Job 902.
Sattel, D., Lane, R., Pears, G., and Vrbancich, J., 2004, Novel ways to process and model GEOTEM data: Extended abstract, ASEG 17th Geophysical Conference and Exhibition, Sydney.
Smith, R., 2001, On removing the primary field from fixed-wing time-domain airborne electromagnetic data: some consequences for quantitative modelling, estimating bird position and detecting perfect conductors: Geophysical Prospecting, 49, 405-416.

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Article Type: Research Article

Keyword(s): AEM; Airborne electromagnetic survey; conductivity; inversion

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oa A revised inversion model parameter formulation for fixed wing transmitter loop – towed bird receiver coil time-domain airborne electromagnetic data

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