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A successful inversion of magnetic anomalies related to 2D dyke-models by a particle swarm scheme

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Abstract

Dykes play a key role in various geologic environments. Here, we show how we employed profile magnetic data to perceive and identify the number of dykes and their parameters by a particle swarm optimiser scheme. The results deduced from this inversion include identification and estimation of the magnetic dipole moment, depth, half-width, magnetisation angle, and origin location (dyke parameters) of dykes. Two synthetic models demonstrate this scheme: the first model tests the impact of a third-order regional anomaly and the second model considers the effect of adjacent structures. Besides, we provide two case studies related to mineral exploration, viz., the Parnaiba basin from Brazil and the Pishabo Lake example from Canada. The subsurface dyke parameters estimated from drilling information and the available literature were consistently matched with those achieved from our inversion scheme, thereby demonstrating the effectiveness of the particle swarm optimisation scheme.

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Acknowledgements

We would like to thank Prof. S Dasgupta, Editor-in-Chief, Prof. Munukutla Radhakrishna, Associate Editor, and the reviewer for his keen interest, valuable comments and improvements to this work. Also, the authors would like to express their gratitude to the Institut Francais d'Egypte (IFE) for their complete support in completing this work.

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Authors

Contributions

Khalid Essa: Conceptualisation, methodology, writing – original draft, review and editing. Eid R Abo-Ezz: Writing – original draft, reviewing, and editing. Yves Géraud: Writing – reviewing, editing, and visualisation. Marc Diraison: Review, editing, and visualisation.

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Correspondence to Khalid S Essa.

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Communicated by Somnath Dasgupta

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Essa, K.S., Abo-Ezz, E.R., Géraud, Y. et al. A successful inversion of magnetic anomalies related to 2D dyke-models by a particle swarm scheme. J Earth Syst Sci 132, 65 (2023). https://doi.org/10.1007/s12040-023-02075-4

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  • DOI: https://doi.org/10.1007/s12040-023-02075-4

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