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Abstract

Summary

Mineral exploration procedures always need to integrate data in order to consider a vast range of combinations and to underline different hypotheses. Reserves estimation, either globally or regionally, has become a typical geostatistical application within the mining industry. Kriging could be a geostatistical interpolation technique utilized in the mining industry for interpolation of input purpose information and estimation of a block model (mineral resource model). In order to estimate Wadi Al Shati iron ore deposit, input data gained from 109 boreholes were used. Fe grade was selected as the major regional variable on which the present research has focused. Studies indicated that iron grade input data had single population characteristics of the area which is totally covered with sand dunes to discover any probable occurrence of iron ore. The results showed that the iron ore belt still extends the west and southwest part under the sand dunes. Finally, a new potential map for the areas of iron ore deposit was produced.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201903227
2019-11-12
2024-04-26

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References

  1. French Study Group
    French Study Group (1976). Wadi Shatti iron ore deposit, 2nd and 3rd stages (1973–1976), Geological Report: Bur. Rech. Geol. et Min., Soc. Ft. d’Etude Min., 274 p.
     [Google Scholar]
  2. Gush.Goudarzi
    (1970). Geology and Mineral Resources of Libya-A Reconnaissance, United States Government Printing Office, Washington, p. 58–60.
     [Google Scholar]
  3. Ivanik, O.
    (2018). Modeling of Landslides and Assessment of Their Impact on Infrastructure Objects in Ukraine. In: WuW., YuHS. (eds) Proceedings of the China-Europe Conference on Geotechnical Engineering. Springer Series in Geomechanics and Geoengineering. Springer, Cham.
     [Google Scholar]
  4. Muller Feuga,Roger
    (1954). Contribution a l’etude de Ia geologie, de Ia petrographic et des resources hydrauliques et minerals du Fezzan: Tunisia, Direction Trav. Publics, Annales Mines ct Geologic, no. 12, 354 p.
     [Google Scholar]
  5. Oliver, M. A.
    (1990) Kriging: A Method of Interpolation for Geographical Information Systems. International Journal of Geographic Information Systems4: 313–332.
     [Google Scholar]
  6. Seidl and Ro Seidl, K. and Rohlich, P.
    (1984). Geological map of Libya, 1:250000, Sheet: Sabha, NI 33–2, Explanatory Booklet. Industrial Research Centre, Tripoli. 149 pp.
     [Google Scholar]
  7. Shahbeik,Sh., Afzal, P., Moarefvand, P., Qumarsy, M.
    (2014). Comparison between Ordinary Kriging (OK) and Inverse Distance Weighted (IDW) based on estimation error Case study: in Dardevey iron ore deposit, NE Iran. Arabian Journal of Geosciences, Arab J Geosci7: 3693–3704.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201903227
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GEOSPATIAL MODELLING AND RESERVES ESTIMATION OF WADI AL SHATI IRON ORE DEPOSIT (LIBYA)
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201903227
/content/papers/10.3997/2214-4609.201903227
/content/papers/10.3997/2214-4609.201903227
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