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Contribution of the enhancement methods and 2D modeling to the evaluation of sedimentary cover thicknesses of the Bahira basin (Morocco) using aeromagnetic data

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Abstract

The Bahira Basin, located in Central Morocco, is a vast synclinal basin inserted between two Paleozoic basement. This basin is known for its large reserves of phosphate (Ganntour plateau), consequently it presents a regional economic interest. This study focuses on the use of aeromagnetic data to evaluate the thicknesses of sedimentary cover of the Bahira basin using enhancement methods, depth estimation techniques and 2D forward modeling. The enhancement methods were enabled to highlight the location and edge of the magnetic sources. The results show that most of the magnetic sources have hercynian orogeny trends. Combined 3D Euler Deconvolution and Source parameter imaging (SPI) methods indicate that depth to basement underlying the Cretaceous-Quaternary sedimentary cover exceed 7 km. The maximum depth values obtained from the various depth estimation methods correlated perfectly with each other. Generally, it was observed that the western part of the study area is characterized by thick sedimentation. The magnetic 2D forward modeling basement structure suggest the uplift of the Paleozoic basement at the south and north part of the Bahira basin. The results of this study can be used to better understand the basement structure of the Bahira basin for forward exploration interest.

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Authors and Affiliations

  1. Data4Earth Laboratory, Polydisciplinary faculty, University Sultan Moulay Slimane, ,Mghila B.P.592, Béni-Mellal, Morocco

    Meriem Lghoul

  2. LPEE, Casablanca, Morocco

    Najib Elgoumi

  3. OCP Group, Casablanca, Morocco

    Mourad Guernouch

Authors
  1. Meriem Lghoul
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  2. Najib Elgoumi
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  3. Mourad Guernouch
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Correspondence to Meriem Lghoul.

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Lghoul, M., Elgoumi, N. & Guernouch, M. Contribution of the enhancement methods and 2D modeling to the evaluation of sedimentary cover thicknesses of the Bahira basin (Morocco) using aeromagnetic data. Model. Earth Syst. Environ. 9, 4335–4347 (2023). https://doi.org/10.1007/s40808-023-01760-z

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