1887

Abstract

Summary

Airborne electromagnetics (AEM) has successfully mapped and characterised groundwater systems in a range of landscapes and geological settings in the East Kimberley Region of north-western Australia. The AEM data enabled rapid imaging of key elements of hydrogeological systems in near-surface Cenozoic paleovalley, alluvial fan and colluvial sediments, and in underlying tectonically-inverted sedimentary basins.

Rapid mapping and assessment of groundwater systems, MAR targets and salinity hazards involved the integration of AEM data with Ground Magnetic Resonance (GMR), seismic reflection, drilling and pump tests, borehole geophysics, soils, regolith, geological and structural mapping, and hydrogeological and hydrochemical investigations. AEM survey design was aided by the use of spatio-temporal analysis of Landsat data to identify areas of potential surface-groundwater interaction.

A suite of equivalent 1D AEM inversion models produced comparable images of the sub-surface hydrostratigraphy and faults. However, 2.5D inversions produced different solutions in key locations. 3D inversions were subsequently performed, and drilling and tectonic analysis was used to assess all AEM inversion models. Recognising zones of structural complexity was important in the successful development of appropriate AEM inversion strategies and models. Overall, the success of groundwater system mapping has been due to the use of AEM within a broader, inter-disciplinary, multi-physics project framework.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201702170
2017-09-03
2020-07-12
Loading full text...

Full text loading...

References

  1. Brodie, R.C.
    [2017] GA-AEM, GitHub repositoryhttps://github.com/GeoscienceAustralia/ga-aem
    [Google Scholar]
  2. ChristensenN.B.
    [2016] Strictly horizontal lateral parameter correlation for 1D inverse modelling of large data sets. Near Surface Geophysics, 14, p. 391–399.
    [Google Scholar]
  3. [2016] Fast approximate 1D modelling and inversion of transient electromagnetic data. Geophysical Prospecting, 64:6, p. 1620–1631.
    [Google Scholar]
  4. Christensen, N.B. and Lawrie, K.C.
    [2012] Resolution analyses for selecting an appropriate airborne electromagnetic (AEM) system. Exploration Geophysics, 43, 213–227.
    [Google Scholar]
  5. Lawrie, K.C., Tan, K.P., Clarke, J.C., Munday, T.J., Fitzpatrick, A., Brodie, R.S., Pain, C.F., Apps, H., Cullen, K., Halas, L., Kuske, T.J. & Cahill, K. & Davis, A.
    [2010] Utilising Time Domain Airborne Electromagnetics (AEM) to Map Aquifer Systems and Salinity Hazard in the Ord Valley, Western Australia. Geoscience Australia Professional Opinion 2010, 400p.
    [Google Scholar]
  6. Lawrie, K.C., Christensen, N.B., Brodie, R.S., Abraham, J., Halas, L., Tan, K.P., Brodie, R.C. and Magee, J.
    [2015] Optimizing AEM inversions for hydrogeological investigations using a transdisciplinary approach. In Proceedings of ASEG-PESA 2015. (4p.).
    [Google Scholar]
  7. Lawrie, K., Murray, T., Christensen, N.B., Brodie, R.S., Halas, L. & Gibson, D.
    [2017] An interdisciplinary, multi-physics approach for rapid mapping and hydrogeological characterization of Neogene intra-plate fault systems in depositional landscapes. In Proceedings of Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), Denver. 4p.
    [Google Scholar]
  8. Mory, A. and Beere, G.
    [1988] Geology of the onshore Bonaparte and Ord Basins in Western Australia. Geological Survey of Western Australia Bulletin. No.134.
    [Google Scholar]
  9. Oldenburg, D.W., Haber, E. & Shekhtman, R.
    [2013] Three dimensional inversion of multisource time domain electromagnetic data. Geophysics, v. 78, No. 1. p. E47–E57.
    [Google Scholar]
  10. Paterson, R., Silic, J. & Fitzgerald, D.
    [2016] Improved structural mapping and conductive targeting delivered by a new 2.5D inversion solver. ASEG Extended Abstracts, 2016. In Proceedings of 25th International Geophysical Conference and Exhibition, p. 412–419.
    [Google Scholar]
  11. Silic, J. & Paterson, R.
    [2016] BHMAR and Ord Bonaparte 2D Forward Modelling Results and Stage 2 Final Report. Intrepid Consulting Services Report to Geoscience Australia. Project SP1605.74p.
    [Google Scholar]
  12. Smolinski, H, Kuswardiyanto, K, and Laycock, J.
    [2010] Cockatoo sands soil survey: assessment of the potential irrigation areas, Kununurra area, East Kimberley. Department of Agriculture and Food, Western Australia, Perth. Report 364.
    [Google Scholar]
  13. Symington, N., Lawrie, K., Brodie, R.S., Tan, K.P., Halas, L. & Brodie, R.C.
    [2017] The Ord Bonaparte Plains project: the use of AEM and GMR techniques to rapidly assess the groundwater potential in a frontier area of north-west Australia. In Proceedings of Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), Denver. 4p.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201702170
Loading
/content/papers/10.3997/2214-4609.201702170
Loading

Data & Media loading...

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