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Abstract

Summary

We present a pragmatic approach to the depth to basement estimation from magnetic data.

The proposed implementation leverages a parsimonious model representation with rectangular prisms, a computationally efficient forward modelling and inversion scheme, and an automated optimization of the key modelling parameters.

This practical methodology enables a rapid assessment of the magnetic basement’s main highs and lows, and it is perfectly applicable even with very little prior information.

In this work, the pragmatic magnetic basement inversion method is applied to a realistic dataset, representative of a challenging onshore fold and thrust belt scenario in a mountainous setting.

The obtained results demonstrate the effectiveness of the tool in estimating the basement trend in few inversion iterations, and the runtime performance confirms its applicability to wide-ranging regional studies.

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/content/papers/10.3997/2214-4609.202310114
2023-06-05
2026-01-13
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References

  1. Abdel Zaher, M., Saibib, H., Mansoura, K., Khalila, A. and Solimana, M. [2018] Geothermal exploration using airborne gravity and magnetic data at Siwa Oasis, Western Desert, Egypt. Renewable and Sustainable Energy Reviews, 82, 3824–3832.
    [Google Scholar]
  2. Bhaskara Rao, D. and Ramesh Babu, N. [1991] A rapid method for three-dimensional modeling of magnetic anomalies. Geophysics, 56, 1729–1737.
    [Google Scholar]
  3. Gibson, R. I. [1995] Basement Tectonics and Hydrocarbon Production in the Williston Basin: An Interpretive Overview. Seventh International Williston Basin Symposium, AAPG, 3–9.
    [Google Scholar]
  4. Golfré Andreasi, F., Re, S., and Scandroglio, S. [2020] Inversion of gravity anomaly for basement estimation. 90th Annual International Meeting, SEG, Expanded Abstracts, 964–968.
    [Google Scholar]
  5. Pujol, J., 2007, The solution of nonlinear inverse problems and the Levenberg-Marquardt method. Geophysics, 72(4), W1x2013;W16.
    [Google Scholar]
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