1887
25th International Conference and Exhibition – Interpreting the Past, Discovering the Future
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

The advantages of 2.5D (2D geology, 3D source) airborne electromagnetic inversion in 3D geological mapping applications and the identification of conductive drilling targets compared to the more commonly used CDI transforms or simple 1D inversions are demonstrated using examples from different geological settings.

The 2.5D inversion application used in this work and described in Silic et al, 2015 is a substantially changed version of ArjunAir, Wilson et al., 2006, a product of CSIRO/AMIRA project P223F. The changes include a new forward model algorithm and a new inversion solver. The application enables the accurate simulation of 3D source excitation for full domain models inclusive of topography, non-conforming boundaries and very high resistivity contrasts. Solution is accurate for a geoelectrical cross-section which is relatively constant along a strike length that exceeds the AEM system footprint.

The major innovation includes a new inversion solver with adaptive regularisation which allows the incorporation of a misfit to the reference model and the model smoothness function. The regularisation parameter is chosen automatically and changed adaptively at each iteration, as the model, the sensitivity and the roughness matrices are changing, Silic et al, 2015.

Memory usage has been dramatically reduced and provides a usage estimate prior to execution. For speed the software has been parallelised using Intel MPI and can be used on standard computing hardware or computing clusters. Data from survey lines with lengths exceeding 30 kilometres can be inverted on high end laptop computers. The integrated software design allows the user to prepare a full survey inversion then execute this simply in a batch process. The user can visualise inversion progress at any time during process execution.

We allow flexibility in the selection of components and in the estimation of noise. A non-specialist can obtain a high value result from our 2.5D AEM inversion in terms of it achieving a more realistic geological section.

We show inversion examples from groundwater, minerals (VMS) and geological mapping AEM surveys projects and compare the results with known geology and drilling. We demonstrate the much improved mapping and target definition delivered by this inversion method when compared with the other more common transforms or inversion methods used on these projects.

Loading

Article metrics loading...

/content/journals/10.1071/ASEG2016ab232
2016-12-01
2026-01-16
Loading full text...

Full text loading...

References

  1. Brodie, R.C., Green A.A., and Munday, T.J., 2003. Constrained inversion of RESOLVE airborne electromagnetic data, Riverland and Tintinara East, South Australia: Data calibration report. CRCLEME Restricted Report 190R.
  2. Brodie, R.C., Green A.A., and Munday, T.J., September 2004. Constrained inversion of RESOLVE airborne electromagnetic data, Riverland, South Australia CRC LEME OPEN FILE REPORT 175.
  3. Carter, R., Schwartz, T., West, S., Hoover, K., Lalor Concentrator Project, Hudbay.Pre-Feasibility Study Technical Report, on the Lalor Deposit, Snow Lake, Manitoba, Canada Effective Date: March 29th, 2012
  4. Calcagno, P., Chiles, J, P., Courrioux, G., Guillen, A., 2008, Geological modelling from field data and geological knowledge Part I. Modelling method coupling 3D potential - field interpolation and geological rules, ‘Physics of the Earth and Planetary Interiors’ 171 (2008) 147 - 157
  5. Cate, A., Mercier-Langevin, P., Ross, P.S. and Simms, D., 2014, Structural controls on geometry and ore distribution in the Lalor auriferous VMS deposit, Snow Lake, west-central Manitoba (part of NTS 63K16): preliminary results from underground mapping; in Report of Activities 2014, Manitoba Mineral Resources, Manitoba Geological Survey, p. 104-115.
  6. Guillen, A., Calcagno, P., Courrioux, G., Joly, A., Ledru, P., 2008, Geological modelling from field data and geological knowledge Part II. Modelling validation using gravity and magnetic data inversion, Physics of the Earth and Planetary Interiors 171 (2008) 158- 169
  7. Hayley K., Silic J., FitzGerald D., Paterson R., (2016), Quantitative assessment of the value added to regional groundwater model predictions by airborne electromagnetic surveys, KEGS 2016 PDAC Symposium, Geophysics and the Environment, 2016.
  8. Hodges, G., Chen, T., van Buren, R., 2015, HELITEM Detects the Lalor Deposit, SAGA 2015 Abstracts, 14th Biennial Geophysical Conference, Drakensburg, South Africa.
  9. Hodges, G., Chen, T., 2014, Lalor HeliTEM Test Results, Proceedings from Exploration for Deep VMS Ore Bodies: The HudBay Lalor Case Study, British Columbia Geophysical Society 2014 Fall Symposium.
  10. Munday, Timothy , Ley Cooper, Yusen , Johnson, Simon , Tyler, Ian (2013), A regional scale fixed-wing TDEM surey of the Palaeo-Proterozoic Bryah Basin, Western Australia: Providing insights into a geological setting highly prospective for VMS Cu-Au and mesothermal Au Systems. ASEG Extended Abstracts 2013 , 1-4.
  11. Silic J., Paterson R., FitzGerald D., Archer T., (2015), Comparing 1D and 2.5D AEM inversions in 3D geological mapping using a new inversion solver. 14th International Congress of the Brazilian Geophysical Society , Extended Abstracts.
  12. Taylor, C., 2014, Mine scale description of the mineralization at the Lalor deposit, Snow Lake, Manitoba, Canada: Proceedings from Exploration for Deep VMS Ore Bodies: The HudBay Lalor Case Study, British Columbia Geophysical Society 2014 Fall Symposium, 1-3.
  13. Wilson, G.A., Raiche, A.P. & Sugeng, F., 2006, 2.5D inversion of airborne electromagnetic data. Expl. Geoph., 37, 363-371.
  14. Yang, D., and Oldenburg, D. W., 2013, 3D conductivity model of the Lalor Lake VMS deposit using ground and airborne EM data: ASEG Extended Abstracts 2013, 23rd Geophysical Conference: Australian Society of Exploration Geophysicists, 1-1.
/content/journals/10.1071/ASEG2016ab232
Loading
  • Article Type: Research Article
Keyword(s): drilling; electromagnetic; geology; inversion; mapping
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error