1887
Volume 49, Issue 3
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

[

Two consistent methods of comparing borehole induction logs with models from inversion of AEM data have been developed: one in model space and one in data space. The two methods are applied to the Broken Hill Managed Aquifer Recharge project conducted by Geoscience Australia on AEM data from the SkyTEM system.

,

Borehole conductivity logs, besides being useful for identifying, interpreting and correlating geological formations, also find widespread use as auxiliary information in the inversion of airborne electromagnetic (AEM) data. One of the quality checks often applied to AEM inversion results is a comparison between the conductivity structures revealed by borehole conductivity logs in the survey area and the AEM inversion model closest to the borehole, often called an ‘FID point comparison’.

Another use of borehole conductivity logs is found in modern AEM inversion procedures, where the borehole conductivity information is included as prior information in a laterally constrained inversion. In most former and present practices, AEM layer conductivities are compared with the measured conductivity in the borehole. However, the borehole conductivity is essentially an apparent conductivity – it is a measured data value – while the AEM layer conductivities are model parameters resulting from inverting AEM data. To avoid comparing data and model parameters we suggest a conceptually clear approach based on an inversion of the borehole conductivity to obtain a borehole conductivity , which in turn can be compared with the AEM model. Furthermore, the AEM forward response of the borehole model can, in a consistent way, be compared with the AEM data. In both approaches, we keep track of uncertainty and define quantitative, uncertainty-normalised measures of the difference between borehole and AEM values, and we find simple functional relationships between the two. The methodology is demonstrated on the AEM data and conductivity logs of the Broken Hill Managed Aquifer Recharge (BHMAR) project.

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2018-06-01
2026-01-12
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References

  1. Auken E. Christiansen A. V. Westergaard J. A. Kirkegaard C. Foged N. Viezzoli A. 2009 An integrated processing scheme for high-resolution airborne electromagnetic surveys, the SkyTEM system: Exploration Geophysics 40 184 192 10.1071/EG08128
    https://doi.org/10.1071/EG08128 [Google Scholar]
  2. Christensen N. B. 2014 Sensitivity functions of transient electromagnetic methods: Geophysics 79 E167 E182 10.1190/geo2013‑0364.1
    https://doi.org/10.1190/geo2013-0364.1 [Google Scholar]
  3. Christensen N. B. 2016 a Strictly horizontal lateral parameter correlation for 1D inverse modelling of large data sets: Near Surface Geophysics 14 391 399 10.3997/1873‑0604.2016028
    https://doi.org/10.3997/1873-0604.2016028 [Google Scholar]
  4. Christensen N. B. 2016 b Fast approximate 1D modelling and inversion of transient electromagnetic data: Geophysical Prospecting 64 1620 1631 10.1111/1365‑2478.12373
    https://doi.org/10.1111/1365-2478.12373 [Google Scholar]
  5. Christensen N. B. Lawrie K. C. 2012 Resolution analyses for selecting an appropriate airborne electromagnetic (AEM) system: Exploration Geophysics 43 213 227
    [Google Scholar]
  6. Christensen N. B. Lawrie K. C. 2014 Reply to comment on the paper - selecting an appropriate AEM system: Exploration Geophysics 43 213 227
    [Google Scholar]
  7. Christensen N. B. Tølbøll R. J. 2009 A lateral model parameter correlation procedure for one-dimensional inverse modelling: Geophysical Prospecting 57 919 929 10.1111/j.1365‑2478.2008.00756.x
    https://doi.org/10.1111/j.1365-2478.2008.00756.x [Google Scholar]
  8. Christensen N. B. Reid J. E. Halkjaer M. 2009 Fast, laterally smooth inversion of airborne transient electromagnetic data: Near Surface Geophysics 7 599 612 10.3997/1873‑0604.2009047
    https://doi.org/10.3997/1873-0604.2009047 [Google Scholar]
  9. Christiansen A. V. Auken E. Viezzoli A. 2011 Quantification of modeling errors in airborne TEM caused by inaccurate system description: Geophysics 76 F43 F52 10.1190/1.3511354
    https://doi.org/10.1190/1.3511354 [Google Scholar]
  10. Foged N. Auken E. Christiansen A. V. Sørensen K. I. 2013 Test site calibration and validation of airborne and ground based TEM systems: Geophysics 78 E95 E106 10.1190/geo2012‑0244.1
    https://doi.org/10.1190/geo2012-0244.1 [Google Scholar]
  11. Foged N. Marker P. A. Christiansen A. V. Bauer-Gottwein P. Jørgensen F. Høyer A.-S. Auken E. 2014 Large scale 3D-modeling by integration of resistivity models and borehole data through inversion: Hydrology and Earth System Sciences 18 4349 4362 10.5194/hess‑18‑4349‑2014
    https://doi.org/10.5194/hess-18-4349-2014 [Google Scholar]
  12. Inman J. R. Jr Ryu J. Ward S. H. 1973 Resistivity inversion: Geophysics 38 1088 1108 10.1190/1.1440398
    https://doi.org/10.1190/1.1440398 [Google Scholar]
  13. Kellog, Brown and Root Pty Ltd (KBR), 2010, Ord East Kimberley Expansion Project Weaber Plains Groundwater Modelling Report - Stage 2 results. Report for WA Landcorp. February 2010.
  14. Kellog, Brown and Root Pty Ltd (KBR), 2011, Weaber Plains Groundwater Modelling Report -Final. Report for WA Landcorp, May 2011.
  15. Lane R. Heislers D. McDonald P. 2001 Filling in the gaps - validation and integration of airborne EM data with surface and subsurface observations for catchment management - an example from Bendigo, Victoria, Australia: Exploration Geophysics 32 225 235 10.1071/EG01225
    https://doi.org/10.1071/EG01225 [Google Scholar]
  16. Lawrie K. C. Munday T. J. Dent D. L. Gibson D. L. Brodie R. C. Wilford J. Reilly N. S. Chan R. A. Baker P. 2000 A ‘Geological Systems’ approach to understanding the processes involved in land and water salinisation in areas of complex regolith - the Gilmore Project, central-west NSW: AGSO Research Newsletter 32 13 32
    [Google Scholar]
  17. Lawrie, K. C., Tan, K. P., Halas, L., Cullen, K., Pain, C. F., Brodie, R. C., Apps, H., Wong, V., Reid, M., Clarke, J. C., and Gibson, D., 2009, River Murray Corridor (RMC) salinity mapping and interpretation project. Report on the Barr Creek to Gunbower Island region: Geoscience Australia Professional Opinion 2009/13, 186 pp.
  18. 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., and 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, 400 pp.
  19. 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. Geocat 73819. 782 pp.
  20. 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, 213 pp.
  21. Lawrie, K., Christensen, N. B., Brodie, R. S., Abraham, J., Halas, L., Tan, K. P., Brodie, R. C., and Magee, J., 2015, Optimizing airborne electromagnetic (AEM) inversions for hydrogeological investigations using a transdisciplinary approach: 24th ASEG-PESA International Geophysical Conference and Exhibition, 4 pp.
  22. Ley-Cooper Y., and Davis A., 2010, Can a borehole conductivity log discredit a whole AEM survey? ASEG Extended Abstracts 2010, 1, 1–5.
  23. Menke, W., 1989, Geophysical data analysis: discrete inverse theory: Academic Press Inc.
  24. Moran J. Kunz K. 1962 Basic theory of induction logging and application to study of two-coil sondes: Geophysics 27 829 858 10.1190/1.1439108
    https://doi.org/10.1190/1.1439108 [Google Scholar]
  25. Munday, T., Green, A., Brodie, R., Lane, R., Sattel, D., Barnett, S., Cook, P., and Walker, G., 2003, Developing recharge reduction strategies in the Riverland of South Australia using airborne electromagnetic data – a case study in tailoring airborne geophysics given a particular target and a desired set of outcomes: 16th ASEG Conference, Adelaide, 1–4.
  26. Schamper C. Jørgensen F. Auken E. Effersø F. 2014 Assessment of near-surface mapping capabilities by airborne transient electromagnetic data - an extensive comparison to conventional borehole data: Geophysics 79 B187 B199 10.1190/geo2013‑0256.1
    https://doi.org/10.1190/geo2013-0256.1 [Google Scholar]
  27. Serban D. Z. Jacobsen B. H. 2001 The use of broadband prior covariance for inverse palaeoclimate estimation: Geophysical Journal International 147 29 40 10.1046/j.0956‑540x.2001.01509.x
    https://doi.org/10.1046/j.0956-540x.2001.01509.x [Google Scholar]
  28. Smiarowski A. Mulè S. 2014 Comments on: Christensen, N., and Lawrie, K., 2012, Resolution analyses for selecting an appropriate airborne electromagnetic (AEM) system: Exploration Geophysics 43 213 227
    [Google Scholar]
  29. Sørensen K. I. Auken E. 2004 SkyTEM - a new high-resolution helicopter transient electromagnetic system: Exploration Geophysics 35 191 199
    [Google Scholar]
  30. Spies, B., and Woodgate, P., 2005, Salinity mapping methods in the Australian context. Department of the Environment and Heritage, and Agriculture Fisheries and Forestry, June 2005, 236 pp.
  31. Strategen, 2014, Ord Project- groundwater management plan - updated January 2014. Report to WA Landcorp, 25 pp. (published).
  32. Taboga, M., 2012, Lectures on probability theory and mathematical statistics (2nd edition): CreateSpace Independent Publishing Platform.
  33. Walker, G., Cresswell, R., Munday, T., and Liddicoat, C., 2004, South Australian Salinity Mapping and Management Support Project: final report (overall project summary report): South Australia. Department of Water, Land and Biodiversity Conservation. Report, DLWBC 2004/39.
  34. Ward, S. H., and Hohmann, G. W., 1987, Electromagnetic theory for geophysical applications, in M. N. Nabighian, ed., Electromagnetic methods in applied geophysics: investigations in Geophysics 3: Society of Exploration Geophysicists, 131–311.
  35. York D. Evensen N. Martinez M. Delgado J. 2004 Unified equations for the slope, intercept, and standard errors of the best straight line: American Journal of Physics 72 367 10.1119/1.1632486
    https://doi.org/10.1119/1.1632486 [Google Scholar]
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  • Article Type: Research Article
Keyword(s): airborne; borehole constrained inversion; borehole log; comparison; electromagnetic

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