Massive sulphides search at the Iberian Pyrite Belt: petrophysical data, geophysical natural fields and mineral favourability mapping

Authors

  • E.M. Fernández Instituto Geológico y Minero de España
  • J.L. García-Lobón Instituto Geológico y Minero de España
  • C. Ayala Instituto Geológico y Minero de España

DOI:

https://doi.org/10.21701/bolgeomin.118.1.002

Keywords:

geophysical natural fields, Iberian Pyrite Belt, mineral favourability mapping, petrophysics

Abstract


In this study we describe an application of several algorithms for mineral favourability mapping in a well-known metallogenic province, the Iberian Pyrite Belt. We have processed and interpreted some available high resolution geophysical coverages (ground gravity and airborne magnetic and radiometric data), and related them to surface geology, to detailed structural maps, and to the occurrence of the Pyrite Belt ore deposits. We also analyse the variation of petrophysical properties (rock density, magnetic susceptibility, remanent magnetization, and natural gamma radiation) measured in field and laboratory from surface rocks at the Northwestern Domain of the Belt, and describe the relationship of these properties with the available regional geophysical data as well as their significance for massive sulphide exploration in the Belt. Using all the aforementioned information, a test of several integrated GIS-based data driven classifiers has been run. These tools generate mineral favourability images using several mapping function algorithms (neural network, weights of evidence, and logistic regression methods). Mineral favourability maps allow areal evaluation and definition of possible massive sulphide occurrences, suitable for developing new mining prospects. The utility of petrophysical data and regional natural-field geophysical images for subsurface mapping and deposit search is discussed, and some useful indications on the statistical integration of geophysical potential field images with surface geology, structure and mineral occurrences are extracted.

Downloads

Download data is not yet available.

References

Bates, M. y García Lobón, J.L. 1998. Exploración aeromagnética y radiométrica de la Faja Pirítica y zonas limítrofes. Fondo documental del IGME, Informe 40464. Madrid.

Behnia, P., and Deren, L. 2005. Application of Radial Basis Functional Link Networks to Mineral Potential Mapping of Proterozoic Mineralization in Saghand-Chadormalu Area, Central Iran. Proceedings of IAMG'05, 1, 523-528,

Bonham-Carter, G.F., Agterberg, F.P., and Wright, D.F. 1988. Integration of Geological Datasets for Gold Exploration in Nova Scotia. Photogrammettry and Remote Sensing, 54, 1585-1592.

Bonham-Carter, G.F., Agterberg, F.P., and Wright, D.F. 1989. Weights of evidence modelling: a new approach to mapping mineral potential. Geological Survey of Canada, Paper 89-9, 171-183. https://doi.org/10.4095/128059

Chiozzi, P., Pasquale, V., y Verdoya, M. 1998. Ground radiometric survey of U, Th y K on the Lipari Island, Italy. Journal of Applied Geophysics, 38: 209-217. https://doi.org/10.1016/S0926-9851(97)00035-9

Exploranium. 1998. GR-320. Portable gamma ray spectrometer users manual. 73 p.

García Lobón, J.L. y Peláez Martínez, A. 1999. Cartografía geofísica y situación de indicios mineros respecto de anomalías magnéticas, radiométricas y gravimétricas en cuatro áreas de la Faja Pirítica. Boletín Geológico y Minero, 110 (6): 715-738.

García-Lobón, J.L. and Ayala, C. 2004. Petrofísica, Aeromagnetismo, Radiometría y Gravimetría, Exploración Regional y Delimitación de Zonas Anómalas en el Dominio Noroccidental de la Faja Pirírica. IGME Technical Report 589 (In Spanish). CDRom 157.

Gumiel Martínez, P. y Mirete Mayo, S. 1999. Los yacimientos de sulfuros de la Faja Pirítica. Colección Patrimonio Geológico De Andalucía, pp. 224-229, ISBN: 84-931224-0-8 Junta de Andalucía, 2002. Proyecto de Investigación Geológica y Cartografía Básica en la Faja Pirítica y Áreas Aledañas. 1998-2000.

Kemp, L.D., Bonham-Carter,G.F., Raines,G.L., and Looney, C.G. 2001. Arc-SDM: Arc-View extension for spatial data modelling using weights of evidence, logistic regression, fuzzy logic and neural network analysis, http://netserv.gis.nrcan.gc.ca/sdm/.

Leistel, E. Marcoux, D. Thiéblemont, C. Quesada, A. Sánchez, G.R. Almodóvar, E. Pascual and R. Sáez. 1997. The volcanic-hosted massive sulphide deposits of the Iberian Pyrite Belt. Journal Mineralium Deposita. Issue Volume 33, Numbers 1-2 Looney, C.G., 2002, Radial basis functional link nets and fuzzy reasoning. Neurocomputing, 43, 489-509. https://doi.org/10.1007/s001260050130

Masters, T. 1993. Practical neural network recipes in C++. Academic Press, Inc. 493 p. https://doi.org/10.1016/B978-0-08-051433-8.50017-3

Porwal, A., Carranza, E.J.M., and Hale, M. 2003. Artificial Neural networks for mineral-potential mapping: A case study from Aravalli province, western India. Natural resources research, 12 (3), 155-171. https://doi.org/10.1023/A:1025171803637

Downloads

Published

2007-03-30

How to Cite

Fernández, E., García-Lobón, J., & Ayala, C. (2007). Massive sulphides search at the Iberian Pyrite Belt: petrophysical data, geophysical natural fields and mineral favourability mapping. Boletín Geológico Y Minero, 118(1), 19–36. https://doi.org/10.21701/bolgeomin.118.1.002

Issue

Section

Articles