1887

Abstract

Summary

We developed a 3D frequency and time-domain parametric level-set AEM inversion code for multiple bodies with independent resistivities and applied a cooperative approach for spatially overlapping data sets. We tested the method on both synthetic and field data, and the synthetic results showed that the cooperative parametric approach recovered the most accurate inversion model. We then applied the method to overlapping AEM data sets at the Committee Bay greenstone belt in Nunavut, Canada to image linear thin dipping conductors where the dip information is crucial for the exploration program.

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/content/papers/10.3997/2214-4609.201602115
2016-09-04
2024-04-27
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References

  1. Aghasi, A., Kilmer, M. and Miller, E.L.
    [2011] Parametric level set methods for inverse problems. SIAM Journal on Imaging Sciences, 4, 618–650.
    [Google Scholar]
  2. Allard, M.
    [2007] On the origin of HTEM species. Proceedings of Exploration ’07, 355–373.
    [Google Scholar]
  3. Berman, R.G., Sanborn-Barrie, M., Stern, R.A. and Carson, C.J.
    [2005] Tectonometamorphism at ca. 2.35 and 1.85 Ga in the Rae Domain, Western Churchill Province, Nunavut, Canada: Insights from structural, metamorphic and geochronological analysis of the South-Western in-situ Committee Bay belt. The Canadian Mineralogist, 43, 409–422
    [Google Scholar]
  4. Dorn, O., Miller, E.L. and Rappaport, C.M.
    [2000] A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets. Inverse Problems, 16, 1119–1156.
    [Google Scholar]
  5. Fullagher, P., Reid, J. and Pears, G.
    [2015] Rapid 3D inversion of airborne TEM data from Forrestania, Western Australia. ASEG extended abstracts, 1–4.
    [Google Scholar]
  6. Haber, E. and Schwarzbach, C.
    [2014] Parallel inversion of large-scale airborne time-domain electromagnetic data with multiple OcTree meshes. Inverse Problems, 30, 1–28.
    [Google Scholar]
  7. Haber, E., Heldmann, S. and Ascher, U.
    [2007] Adaptive finite volume method for distributed non-smooth parameter identification. Inverse Problems, 23, 1659–1676.
    [Google Scholar]
  8. Macnae, J.
    [2015] Automated airborne EM anomaly picking and 3D model fitting. ASEG Extended Abstracts, 1–4.
    [Google Scholar]
  9. McMillan, M.S., Schwarzbach, C., Haber, E. and Oldenburg, D.W.
    [2015] 3D parametric hybrid inversion of time-domain airborne electromagnetic data. Geophysics, 80, K25–K36.
    [Google Scholar]
  10. McMillan, M.S. and Oldenburg, W.
    [2014] Cooperative constrained inversion of multiple electromagnetic data sets. Geophysics, 79, B173–B175.
    [Google Scholar]
  11. Osher, S. and Sethian, J.
    [1988] Fronts propagating with curvature dependent speed: algorithms on Hamilton-Jacobi formulations. Journal of Computational Physics, 79, 12–49.
    [Google Scholar]
  12. Yang, D. and Oldenburg, D. W.
    [2012] Three-dimensional inversion of airborne time-domain electromagnetic data with applications to a porphyry deposit. Geophysics, 77, B23–B34.
    [Google Scholar]
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