1887
ASEG2010 - 21st Geophysical Conference
  • ISSN: 2202-0586
  • E-ISSN:

Abstract

Summary

Our approach to the generation of a regional 3D geological model is through geologically constrained potential field inversion of crosssections. Wavelet edges form a scaffold on which the major physical property discontinuities can be linked to yield a 3D model. We have recently completed such a model for the Koonenberry Belt in far northwest NSW.

The potential field modelling in this process constitutes a form of lithologic inversion, involving iterative refinement of parametric bodies. Detailed magnetic and gravity modelling of structurally complex geology required us to employ multiple polygonal bodies and to iteratively modify these in a way that closely honoured structural controls on the geology. Models evolved very substantially during the process. This procedure contrasts with the statistical approach to lithologic inversion, which relies on a well-defined geological model as a seed for random single-voxel iterations. Geological complexity, limited outcrop, and initial uncertainty between competing tectonic interpretations precluded construction of such a starting model for the Koonenberry Belt.

After completion of the 2D inversions, wavelet edges corresponding to the boundaries of major bodies were identified. Sets of edges define contours of surfaces, with depth approximated as half the upward continuation. These surfaces were linked between corresponding bodies on adjacent sections, and also served to extend the model beyond the limits of the 2D inversion.

The completed model for the Koonenberry Belt reveals a complete assemblage of the elements of a Cambrian arc. The model predicts features seen on recently reprocessed seismic sections beyond the area covered by the original cross-sections.

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/content/journals/10.1081/22020586.2010.12041991
2010-12-01
2026-01-18
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References

  1. Archibald, N., Gow, P., and Boshetti, F., 1999, Multiscale edge analysis of potential field data: Exploration Geophysics, 30, 38-44.
  2. Bosch, M, 1999, Lithologic tomography: from plural geophysical data to lithology estimation: Journal of Geophysical Research, 104, 749-766.
  3. Bosch, M., Meza, R., Jimenez, R., and Hoenig, A., 2006, Joint gravity and magnetic inversion in 3D using Monte Carlo methods: Geophysics, 71, G153-G156.
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  5. Lane, R., FitzGerald, D, Guillen, A., Seikel, R., and McInerney, P., 2007, Lithologically constrained inversion of magnetic and gravity data sets: Preview, 129, 11-17.
  6. Mills, K.J., and David, V., 2004, The Koonenberry deep seismic reflection line and geological modelling of the Koonenberry region, in western New South Wales: Geological Survey of New South Wales Report GS2004/185.
  7. Oldenburg, D.W., and Pratt, D.A., 2007, Geophysical inversion for mineral exploration: a decade of progress in theory and practice: In Milkereit, B. (ed.), Proceedings of Exploration 07: Fifth Decennial International Conference on Mineral Exploration, p. 61-95.
  8. Pratt, D.A., Foss, C.A., and Roberts, S., 2006, User guided inversion and visualisation of interpretation confidence: Australian Earth Sciences Convention, Melbourne, Geologically Realistic Inversion of Gravity and Magnetic Data Workshop, abstracts.
/content/journals/10.1081/22020586.2010.12041991
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  • Article Type: Research Article
Keyword(s): 3D modelling; Koonenberry Belt; lithologic inversion; Potential fields
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