1887

Abstract

Summary

We present a new Python package called Anemone for modelling 1D TEM responses. Anemone is built with PyTorch, allowing it run on Graphics Processing Units for highly parallel computing of forward responses. In this abstract we give an overview of Anemone including some example code snippets and an evaluation of its accuracy against the analytic solution for the magnetic field in the center of a circular loop on resistive halfspace.

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/content/papers/10.3997/2214-4609.202520177
2025-09-07
2026-02-06
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References

  1. Auken, E., Christiansen, A.V., Kirkegaard, C., Fiandaca, G., Schamper, C., Behroozmand, A.A., Binley, A., Nielsen, E., Effersø, F., Christensen, N.B., Sørensen, K., Foged, N. and Vignoli, G. [2015] An overview of a highly versatile forward and stable inverse algorithm for airborne, ground-based and borehole electromagnetic and electric data. Exploration Geophysics, 46(3).
    [Google Scholar]
  2. Auken, E., Foged, N., Larsen, J.J., Lassen, K.V.T., Maurya, P.K., Dath, S.M. and Eiskjær, T.T. [2019] tTEM — A towed transient electromagnetic system for detailed 3D imaging of the top 70 m of the subsurface. GEOPHYSICS, 84(1).
    [Google Scholar]
  3. Balch, S.J., Boyko, W.P. and Paterson, N.R. [2003] The Aero TEM airborne electromagnetic system. The Leading Edge, 22(6).
    [Google Scholar]
  4. Boerner, D.E. and West, G.F. [1984] Efficient calculation of the electromagnetic fields of an extended source. GEOPHYSICS, 49(11).
    [Google Scholar]
  5. Christensen, N.B. [1990] Optimized Fast Hankel Transform Filters. Geophysical Prospecting, 38(5).
    [Google Scholar]
  6. Fiandaca, G., Madsen, L.M. and Maurya, P.K. [2018] Reparameterisations of the ColeCole model for improved spectral inversion of induced polarization data. Near Surface Geophysics, 16(4).
    [Google Scholar]
  7. Grombacher, D., Pedersen, J., Wemegah, D., Kragehede, R., McLachlan, P. and Maurya, P. [2025] Rapid groundwater assessments in gneissic settings using transient electromagnetics Examples from Togo. GEOPHYSICS, 90(2).
    [Google Scholar]
  8. Harris, C.R., Millman, K.J., Van der Walt, S.J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N.J., Kern, R., Picus, M., Hoyer, S., van Kerkwijk, M.H., Brett, M., Haldane, A., del Rio, J.F., Wiebe, M., Peterson, P., Gerard-Marchant, P., Sheppard, K., Reddy, T., Weckesser, W., Abbasi, H., Gohlke, C. and Oliphant, T.E. [2020] Array programming with NumPy. Nature, 585(7825).
    [Google Scholar]
  9. Heagy, L.J., Cockett, R., Kang, S., Rosenkjaer, G.K. and Oldenburg, D.W. [2017] A framework for simulation and inversion in electromagnetics. Computers amp; Geosciences, 107.
    [Google Scholar]
  10. Johansen, H.K. and Sorensen, K. [1979] Fast Hankel Transforms. Geophysical Prospecting, 27(4).
    [Google Scholar]
  11. Knight, J.H. and Raiche, A.P. [1982] Transient electromagnetic calculations using the GaverStehfest inverse Laplace transform method. GEOPHYSICS, 47(1).
    [Google Scholar]
  12. Paszke, A., Gross, S., Massa, E., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Köpf, A., Yang, E., De Vito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J. and Chintala, S. [2019] PyTorch: An Imperative Style, High-Performance Deep Learning Library.
    [Google Scholar]
  13. Pelton, W.H., Ward, S.H., Hallof, P.G., Sill, W.R. and Nelson, PH. [1978] Mineral discrimination and removal of inductive coupling with multifrequency IP. GEOPHYSICS, 43(3).
    [Google Scholar]
  14. Stehfest, H. [1970] Algorithm 368 Numerical inversion of Laplace transforms [D5]. Communications of the ACM, 13(1).
    [Google Scholar]
  15. Ward, S.H. and Hohmann, G.W. [1988] 4. Electromagnetic Theory for Geophysical Applications.
    [Google Scholar]
  16. Zhang, B., Qu, K., Yin, C., Wang, Y., Liu, Y., Ren, X. and Su, Y [2024] Review of 3D electromagnetic modeling and inversion for mineral exploration. GEOPHYSICS, 90(3).
    [Google Scholar]
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