1887

Abstract

Summary

Better constrain the geological geometries in 3 dimensions aids to improve subsequent hydrological modeling and simulations. The project “Plateau de Sault” (Eastern Pyrenees) aims to provide a better estimate and management of water resources of the region. The water flow occurs mostly underground via significant karst networks in a complex tectonic framework. Thus, a 3D geological model was built, as a prerequisite for hydrological studies, with the 3D GeoModeller software (©BRGM-Intrepid Geophysics) which is unique in interpolating complex geology using a potential field method. The construction of this 3D geological model has 3 main objectives: improve regional geology’s knowledge, propose geometries for limestone urgonian bars and define hypothetical connections between different aquifers. Structures at depth have been constrained by direct calculation and gravimetric inversion of the geological model thanks to newly acquired gravimetric data (around 250 stations) and densities of formations established in laboratory from 52 rocks sampled in the field. This study demonstrates the importance of integrative tools as 3D geological modeling for good water management.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700738
2017-06-12
2024-04-16
Loading full text...

Full text loading...

References

  1. Aug, C.
    [2004] Modélisation géologique 3D et caractérisation des incertitudes par la méthode du champ de potentiel. 198. Doctoral thesis, E.N.S. des Mines de Paris, Paris.
    [Google Scholar]
  2. Bosch, M., Guillen, A. and Ledru, P.
    [2001] Lithologic tomography: an application to geophysical data from the cadomian belt of northern Brittany, France. Tectonophysics, 331, 197–228.
    [Google Scholar]
  3. Chiles, J. P., Aug, C., Guillen, A. and Lees, T.
    [2006] Modelling the geometry of geological units and its uncertainty in 3D from structural data: the potential-field method. In: C. Australasian Institute of Mining and Metallurgy, Victoria (Ed.) Orebody modelling and strategic mine planning — Uncertainty and risk management models. Spectrum Series, 329–336.
    [Google Scholar]
  4. Guillen, A., Calcagno, P., Courrioux, G., Joly, A. and Ledru, P.
    [2008] Geological modelling from field data and geological knowledge Part II. Modelling validation using gravity and magnetic data inversion. Physics of the Earth and Planetary Interiors, 171, 158–169.
    [Google Scholar]
  5. Guillen, A., Courrioux, G., Calcagno, P., Lane, R., Lees, T. and Mclnerey, P.
    [2004] Constrained gravity 3D litho-inversion applied to Broken Hill. SEG 17th Geophysical Conference and Exhibition, Sydney.
    [Google Scholar]
  6. Lajaunie, C., Courrioux, G. and Manuel, L.
    [1997] Foliation fields and 3D cartography in geology; principles of amethod based on potential interpolation. Mathematical Geology, 29, 571–584.
    [Google Scholar]
  7. Martelet, G., Calcagno, P., Gumiaux, C., Truffert, C., Bitri, A., Gapais, D. and Brun, J. P.
    [2004] Integrated 3D geophysical and geological modelling of the Hercynian suture zone in the Champtoceaux area (South Brittany, France)Tectonophysics, 382, 117–128.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700738
Loading
/content/papers/10.3997/2214-4609.201700738
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error