Geometría y petrofísica como input para la modelización geofísica

  1. Tania Mochales 1
  2. Ahmed Manar 2
  3. Teresa Román-Berdiel 3
  4. Sara Torres 4
  5. Irene Falcón 4
  6. Antonio Casas-Sainz 3
  7. Pablo Calvín 4
  8. Vicente Carlos Ruiz 5
  9. Andrés Gil-Imaz 3
  10. Felicidad Bógalo 4
  11. Bennacer Moussaid 6
  12. Juan José Villalaín 4
  13. Belén Oliva-Urcia 7
  14. Pablo Santolaria 8
  15. Elisa Sánchez-Moreno 4
  16. Andrés Pocoví 3
  17. Hmidou El Ouardi 8
  18. Esther Izquierdo 9
  19. Marcos Marcén 3
  20. María Ángela Herrejón 4
  21. Ángela Jiménez 4
  1. 1 Instituto Geológico y Minero de España
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    Instituto Geológico y Minero de España

    Madrid, España

    ROR https://ror.org/04cadha73

    Geographic location of the organization Instituto Geológico y Minero de España
  2. 2 Ministère de l’Énergie, des Mines et de l’Environnement
  3. 3 Universidad de Zaragoza
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    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

    Geographic location of the organization Universidad de Zaragoza
  4. 4 Universidad de Burgos
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    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

    Geographic location of the organization Universidad de Burgos
  5. 5 Universidad Complutense de Madrid
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    Universidad Complutense de Madrid

    Madrid, España

    ROR https://ror.org/02p0gd045

    Geographic location of the organization Universidad Complutense de Madrid
  6. 6 Université Hassan II de Casablanca
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    Université Hassan II de Casablanca

    Casablanca, Marruecos

    ROR https://ror.org/001q4kn48

    Geographic location of the organization Université Hassan II de Casablanca
  7. 7 Universidad Autónoma de Madrid
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    Universidad Autónoma de Madrid

    Madrid, España

    ROR https://ror.org/01cby8j38

    Geographic location of the organization Universidad Autónoma de Madrid
  8. 8 Universitat de Barcelona
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    Universitat de Barcelona

    Barcelona, España

    ROR https://ror.org/021018s57

    Geographic location of the organization Universitat de Barcelona
  9. 9 Université Moulay Ismail
Journal:
Geotemas (Madrid)

ISSN: 1576-5172

Year of publication: 2021

Issue Title: X Congreso Geológico de España

Issue: 18

Pages: 549

Type: Article

More publications in: Geotemas (Madrid)

Sustainable development goals

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SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

To deal with magnetic modelling, remanent magnetization as well as susceptibility of the rocks that generate an induced magnetic field by the interaction with the Earth Magnetic field has to be addressed. In presence of primary and/or secon- dary fields, it is essential to consider the total magnetization as the sum of induced and remanent components, so that modelling integrates the effect of the intensity, inclination and, to a lesser extent, declination of the total magnetization generated by the source bodies. In this context, magnetic properties and density have been measured in drilled samples, with the aim to model and fit magnetic and gravimetric anomalies of the Central High Atlas Range, in the following units: paleozoic sediments, CAMP basalts, jurassic limestones and gabbros, trissic redbeds, cretacic limestones and cenozoic rocks. The contrasted petrophysical properties between units, whose geometry is constrained by means of field data (map- ping and dipping), allow us to refine the cross sections and suggest possible variations in the thickness and/or configura- tion of the anomaly source bodies.