1887
24th International Geophysical Conference and Exhibition – Geophysics and Geology Together for Discovery
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

High-resolution hydrogeophysical data are increasingly acquired as part of investigations to underpin groundwater mapping. However, optimization of AEM data requires careful consideration of AEM system suitability, calibration, validation and inversion methods.

In modern laterally-correlated inversions of AEM data, the usefulness of the resulting inversion models depends critically on an optimal choice of the vertical and horizontal regularization of the inversion. Set the constraints too tight, and the resulting models will become overly smooth and potential resolution is lost. Set the constraints too loose, and spurious model details will appear that have no bearing on the hydrogeology. There are several approaches to an automatic choice of the regularization level in AEM inversion based predominantly on obtaining a certain pre-defined data misfit with the smoothest possible model.

However, we advocate a pragmatic approach to optimizing the constraints by an iterative procedure involving all available geological, hydrogeological, geochemical, hydraulic and morphological data and understanding. In this approach, in a process of both confirming and negating established interpretations and underlying assumptions, the inversion results are judged by their ability to support a coherent conceptual model based on all available information. This approach has been essential to the identification and assessment of MAR and groundwater extraction options in the Broken Hill Managed Aquifer Recharge project.

Loading

Article metrics loading...

/content/journals/10.1071/ASEG2015ab170
2015-12-01
2026-01-25
Loading full text...

Full text loading...

References

  1. Auken, E., Pellerin, L., Christensen, N.B., & Serensen, K., 2006. A survey of current trends in near-surface electrical and electromagnetic methods. Geophysics,Vol. 71, No. 5, September-October 2006; p. G249-G260.
  2. Christensen, N.B. & Lawrie, K.C., 2012. Resolution analyses for selecting an appropriate airborne electromagnetic (AEM) system. Exploration Geophysics, 2012, 43, 213-227.
  3. Christensen, N.B. & Lawrie, K.C., 2014. Reply to Comment on the Paper- Selecting an Appropriate AEM System: Exploration Geophysics, 43, 213-227.
  4. Green, A.A. & Munday, T., 2004. Forward modeling AEM data for the Riverland, S.A. CRC LEME Open File Report 171.
  5. Lane, R., Brodie R. & Fitzpatrick A., 2004. Constrained inversion of AEM data from St George, Queensland, Australia, CRCLEME OFR 163.
  6. Lawrie, K.C., Brodie R.S., Tan, K.P., Gibson, D., Magee, J., Clarke, J.D.A., Halas, L., Gow, L, Somerville, P., Apps, H.E., Christensen, N.B., Brodie, R.C., Abraham, J., Smith, M, Page, D., Dillon, P., Vanderzalm, J., Miotlinski, K., Hostetler, S., Davis, A., Ley-Cooper, A.Y., Schoning, G., Barry, K. and Levett, K., 2012a. BHMAR Project: Data Acquisition, processing, analysis and interpretation methods. Geoscience Australia Record 2012/11. 520p. Geocat 73819.
  7. Lawrie, K.C., Brodie R.S., Dillon, P., Tan, K.P., Gibson, D., Magee, J., Clarke, J.D.A., Somerville, P., Gow, L., Halas, L., Apps, H.E., Page, D., Vanderzalm, J., Abraham, J., Hostetler, S., Christensen, N.B., Miotlinski, K., Brodie, R.C., Smith, M. and Schoning, G., 2012b. BHMAR Project: Assessment of Conjunctive Water Supply Options to Enhance the Drought Security of Broken Hill, Regional Communities and Industries-Summary Report. Geoscience Australia Record 2012/16. 213p.
  8. Macnae, J.C., 2007. Developments in broadband airborne electromagnetics in the past decade. In Proceedings of Exploration 07: Fifth Decennial International Conference on Mineral Exploration. 9-12 September, Toronto, Canada. (Ed. B. Milkereit). pp. 387-398. Prospectors and Developers Association of Canada, Toronto, Canada.
  9. NRMMC-EPHC-NHMRC, 2009. Australian Guidelines for Water Recycling: Managing Health and Environmental Risks. Phase 2C: Managed Aquifer Recharge. Environment Protection and Heritage Council, National Health and Medical Research Council, and Natural Resource Management Ministerial Council. www. ephc .gov. au/taxonomy/term/39.
  10. Spies, B. & Woodgate P., 2005. Salinity Mapping Methods in the Australian Context. Land and Water Australia, Department of the Environment and Heritage; and Agriculture Fisheries and Forestry, June 2005. 236p.
  11. Stokols, D., Hall, K.L., Taylor, B.K., Moser, R.P., 2008. The Science of Team Science: Overview of the Field and Introduction to the Supplement. Am. J Prev. Med., 2008; 35(2S):S77-S89.
/content/journals/10.1071/ASEG2015ab170
Loading
  • Article Type: Research Article
Keyword(s): Optimization; Regularization; Transdisciplinary
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