Mineral Resource Exploration

  • Manuel Bustillo Revuelta
Chapter
Part of the Springer Textbooks in Earth Sciences, Geography and Environment book series (STEGE)

Abstract

This chapter is concerned with the process of analyzing an area to find mineral deposits, which is termed mineral resource exploration. The information collected during exploration is utilized to evaluate the size and quality of an ore deposit and to establish there is an option for it to be mined. Two main phases can be broadly outlined in mineral resource exploration: reconnaissance exploration and detailed exploration. The geological, geophysical, and geochemical methods applied at different stages of mineral resource exploration are described. The methods are organized in order of scale and stage, from remote sensing to drilling, through photogeology, geophysical, and geochemical surveys. Previously, mineral deposit models are applied to predict how and where mineral deposits might occur. Since large databases are generated in geochemical exploration, the main statistical techniques (univariate, bivariate, and multivariate methods) are commented in this heading. Finally, several exploration case studies are summarized to show the main items of mineral resource exploration.

References

  1. Adcock SW, Spirito WA, Garrett RG (2013) Geochemical data management – issues and solutions. Geochem Explor Environ Anal 13:337–348CrossRefGoogle Scholar
  2. Agterberg FP (1974) Geomathematics. Elsevier, Amsterdam, 596 ppGoogle Scholar
  3. Averill SA (2001) The application of heavy indicator minerals in mineral exploration. In: McClenagham MB, Bobrowsky PT, Hall GEM, Cook S (eds) Drift exploration in glaciated terrain special volume, 185. Geological Society, London, pp 69–82Google Scholar
  4. Barton PB Jr (1993) Problems and opportunities for mineral deposit models. In: Kirkham RV, Sinclair WD, Thorpe RI, Duke JM (eds) Mineral deposit modeling. Geological Association of Canada Special Paper 40, St. John's, pp 7–13Google Scholar
  5. Black G (2010) Selecting the right core bit. In: Smith M (ed) Exploration drilling. Atlas Copco Craelius AB, Märsta, pp 36–38Google Scholar
  6. Brimhall GH, Dilles JH, Proffett JM (2006) The role of geologic mapping in mineral exploration. Soc Econ Geol Spec Pub 12:221–241Google Scholar
  7. Brooks RR, Dunn CE, Hall GEM (1995) Biological systems in mineral exploration and processing. Ellis Horwood, London, 500 pGoogle Scholar
  8. Carranza EJM (2009) Geochemical anomaly and mineral prospectivity mapping in GIS. In: Hale M (ed) Handbook of exploration and environmental geochemistry, vol 11. Elsevier, AmsterdamGoogle Scholar
  9. Chen S, Hattori K, Grunsky EC (2015) Multivariate statistical analysis of the REE-mineralization of the maw zone, Athabasca Basin, Canada. J Geochem Explor 161:98–111CrossRefGoogle Scholar
  10. Cohen DR, Kelley DL, Anand R, Coker WB (2007) Major Advances in Exploration Geochemistry, 1998–2007. In “Proceedings of Exploration 07: Fifth Decennial International Conference on Mineral Exploration” edited by B. Milkereit, pp 3–18Google Scholar
  11. Cox DPY, Singer D (eds) (1986) Mineral deposit models. US Geol Surv Bull 1693:379 ppGoogle Scholar
  12. Davis JC (2002) Statistics and data analysis in geology, 3rd edn. Wiley, New York, 656 pGoogle Scholar
  13. Dentith M, Mudge ST (2014) Geophysics for the mineral exploration geoscientist. Cambridge University Press, New York, 454 pGoogle Scholar
  14. Dirik K (2005) Advanced photogeology – lecture notes. Geological Engineering Dept., Hacettepe University, 45 pGoogle Scholar
  15. Duke JM (1990) Mineral deposit models: nickel sulfide deposits of the Kambala type. Can Mineral 28:379–388Google Scholar
  16. Dunn CE (2007) Biogeochemistry in mineral exploration: handbook of exploration and environmental geochemistry, vol 9. Elsevier, AmsterdamCrossRefGoogle Scholar
  17. Eaton DW, Milkereit B, Salisbury M (2003) Seismic methods for deep mineral exploration: mature technologies adapted to new targets. Lead Edge 22:580–585CrossRefGoogle Scholar
  18. Ellis DV, Singer JM (2007) Well logging for Earth scientists, 2nd edn. Springer, Dordrecht, 692 pCrossRefGoogle Scholar
  19. Evans AM, Moon CJ (2006) Mineral deposit geology and models. In: Moon CJ, Whateley MKG, Evans AM (eds) Introduction to mineral exploration, 2nd edn. Blackwell Publishing, Ltd., Oxford, pp 33–51Google Scholar
  20. Freitas H, Prasad MNV, Pratas J (2004) Analysis of serpentinophytes from north-east of Portugal for trace metal accumulation relevance to the management of mine environment. Chemosphere 54:1625–1642CrossRefGoogle Scholar
  21. Garrett RG, Reimann C, Smith DB, Xie X (2008) From geochemical prospecting to international geochemical mapping: a historical overview. Geochem Explor Environ Anal 8:205–217CrossRefGoogle Scholar
  22. Gazley MF, Tutt CM, Fisher LA, Latham AR, Duclaux G, Taylor MD, de Beer SJ (2014) Objective geological logging using portable XRF geochemical multi-element data at plutonic gold mine, Marymia Inlier, Western Australia. J Geochem Explor 143:74–83CrossRefGoogle Scholar
  23. Gocht WR, Zantop HY, Eggert RG (1988) International mineral economics. Springer, Berlin, 271 pCrossRefGoogle Scholar
  24. Govett GJS (1983) Rock geochemistry in mineral exploration. Handbook of exploration geochemistry, 3rd edn. Elsevier, Amsterdam, 440 ppGoogle Scholar
  25. Grunsky EC (2010) The interpretation of geochemical survey data. Geochem: Explor, Environ Anal 10:27–74Google Scholar
  26. Gustaffson A (2010) Trends in exploration. In: Smith M (ed) Exploration drilling. Atlas Copco Craelius AB, Märsta, pp 3–7Google Scholar
  27. Hartley JS (1994) Drilling: tools and programme management. A.A. Balkeema, Rotterdam, 150 pGoogle Scholar
  28. Hartman HL, Mutmansky JM (2002) Introductory mining engineering, 2nd edn. Wiley, New York, 584 pGoogle Scholar
  29. Hawkes HE (1957) Principles of geochemical prospecting. Geological Survey Bulletin 1000-F, 355 pGoogle Scholar
  30. Hawkes HE, Webb JS (1962) Geochemistry in mineral exploration. Harper and Row, New York, 415 pGoogle Scholar
  31. Heinrich CA, Walshe JL, Harrold BP (1996) Chemical mass transfer modelling of ore-forming hydrothermal systems: current practise and problems. Ore Geol Rev 10:319–338CrossRefGoogle Scholar
  32. Henley S, Doyle M (2005) Reporting bias as a result of Core Loss at Las Cruces: A case study. Natural Resources Research 14:19–30CrossRefGoogle Scholar
  33. Herrington R (2011) Geological features and genetic models of mineral deposits. In: Darling P (ed) SME mining engineering handbook, 3rd edn. Society for Mining, Metallurgy, and Exploration, Inc, Englewood, pp 83–104Google Scholar
  34. Hitzman MW, Large D (1986) A review and classification of the Irish carbonate-hosted base metal deposits. In: Andrews CJ, RWA C, Finlay S, Pennell WM, Pyne JF (eds) The Irish minerals industry 1980–1990. Irish Association for Economic Geology, Dublin, pp 217–238Google Scholar
  35. Hodgson CJ (1990) Uses (an abuses) of ore deposit models in mineral exploration. In: Shearan PA, Cherry YME (eds) Ore deposit models, vol. II. St John´s, Canada, Geoscience Canada, Reprint series, 6, pp 1–11Google Scholar
  36. Hoseinie SH, Aghababaei H, Pourrahimian Y (2008) Development of a new classification system for assessing of rock mass drillability index (RDi). Int J Rock Mech Min Sci 45:1–10CrossRefGoogle Scholar
  37. Johnson BJ, Montante-Martinez A, Canela-Barboza M, Danielson TJ (2000) Geology of the san Nicolas deposit, Zacatecas, Mexico. In: Sherlock R, MAV L (eds) VMS deposits of latin America, vol 2. Geological Association of Canada, Mineral Deposits Division, Special Publication, St. John’s, pp 71–86Google Scholar
  38. Kearey P, Brooks M, Hill I (2002) An introduction to geophysical exploration, 3rd edn. Blackwell Science Ltd., Malden, 268 pGoogle Scholar
  39. Knox-Robinson CM (2000) Vectoral fuzzy logic: a novel technique for enhanced mineral prospectivity mapping, with reference to orogenic gold mineralisation potential of the Kalgoorlie terrane. Western Australia Australian J Earth Sci 47:929–941CrossRefGoogle Scholar
  40. Kutina J (1969) Hydrothermal ore deposits in the western United States; a new concept of structural control of distribution. Science 165:1113–1119CrossRefGoogle Scholar
  41. Laake A (2011) Integration of satellite imagery, geology and geophysical data. In: Ahmad Dar I, Ahmar Dar M (eds), Earth and environmental sciences, InTechOpen: Rijeka, 467-492Google Scholar
  42. LaFehr TR (1991) Standardization in gravity reduction. Geophysics 56:1170–1178CrossRefGoogle Scholar
  43. Lasky SG (1950) How tonnage and grade relations help predict ore reserves. Eng Min J 151:81–85Google Scholar
  44. Leca X (1990) Discovery of a concealed massive sulphide deposit at Neves-Corvo, southern Portugal – a case history. Trans Inst Min Metall Sect B 99:B139–B152Google Scholar
  45. Levinson AA (1974) Introduction to exploration geochemistry. Applied Publishing Ltd., Calgary, 611 pGoogle Scholar
  46. Leybourne MI, Cameron EM (2007) Groundwaters in geochemical exploration: methods, applications, and future directions. Advances in Regional-Scale Geochemical Methods. In “Proceedings of Exploration 07: Fifth Decennial International Conference on Mineral Exploration” edited by B. Milkereit, pp 201–221Google Scholar
  47. Likkason OK (2014) Exploring and using the Magnetic methods. In: Marghany M (ed) Advanced geoscience remote sensing. InTech, Croatia, pp 141–174Google Scholar
  48. Ludington S, Cox DP, Singer DA, Sherlock MG, Berger BR, Tingley JV (1993) Spatial and temporal analysis of precious-metal deposits for a mineral resource assessment of Nevada: Geological Association of Canada Special Paper 40, pp 31–40Google Scholar
  49. Lulin JM (1990) Une analyse du développement minier du Nord-Ouest québécois. In: Rive M, Verpaelst P, Gagnon Y, Lulin JM, Riverin G, Simard A (eds) The northwestern Quebec polymetallic belt, vol 43. Canadian Institute of Mining and Metallurgy, Montreal, pp 17–34Google Scholar
  50. Mandelbrot BB (1983) The fractal geometry of nature. W.H. Freeman and Company, New York, 469 ppGoogle Scholar
  51. Marjoribanks R (2010) Geological methods in mineral exploration and mining. Springer, Berlin, 238 pCrossRefGoogle Scholar
  52. McClenaghan MB (2005) Indicator mineral methods in mineral exploration. Geochem: Explor, Environ, Anal 5:233–245Google Scholar
  53. McGauchy J (2007). Geological models, rock properties and the 3D inversion of geophysical data. In: Milkereit B (ed) Proceedings of exploration ‘07: Fifth decennial international conference on mineral exploration, Toronto, Canada, pp 473–483Google Scholar
  54. McKillup S, Dyar MD (eds) (2010) Geostatistics explained. An Introductory Guide for Earth Scientists. Cambridge University Press, Cambridge, 412 pGoogle Scholar
  55. McPhee C, Reed J, Zubizarreta I (2015) Core analysis: a best practice guide. Developments in petroleum sciences 64, Elsevier, Amsterdam. 852 pGoogle Scholar
  56. Milson J (2006) Geophysical methods. In: Moon CJ, Whateley MKG, Evans AM (eds) Introduction to mineral exploration, 2nd edn. Blackwell Publishing, Ltd., Oxford, pp 127–154Google Scholar
  57. Moon CJ (2006) Exploration geochemistry. In: Moon CJ, Whateley MKG, Evans AM (eds) Introduction to mineral exploration, 2nd edn. Blackwell Publishing, Ltd., Oxford, pp 155–178Google Scholar
  58. Moon CJ, Whateley MKG (2006) Reconnaissance exploration and from Prospect to prefeasibility. In: Moon CJ, Whateley MKG, Evans AM (eds) Introduction to mineral exploration, 2nd edn. Blackwell Publishing, Ltd., Oxford, pp 52–103Google Scholar
  59. Mosier DL, Singer DA, Moring BC, Galloway JP (2012) Podiform chromite deposits—database and grade and tonnage models: U.S. Geological Survey Scientific Investigations Report 2012–5157, 45 pGoogle Scholar
  60. Mukherjee S (2011) Applied mineralogy applications in industry and environment. Springer, Dordrecht/New York, 575 pGoogle Scholar
  61. Mwenifumbo CJ, Mwenifumbo AL (2013) Geophysical logging methods for uranium geology and exploration. Geological Survey of Canada, Technical Note 4, 43 pGoogle Scholar
  62. Närhi P, Middleton M, Sutinen R (2014) Biogeochemical multi-element signatures in common juniper at Mäkärärova, Finnish Lapland: implications for Au and REE exploration. J Geochem Explor 138:50–58Google Scholar
  63. Oldenburg DW, Pratt DA (2007). Geophysical inversion for mineral exploration: a decade of progress in theory and practice. In: Milkereit B (ed) Proceedings of exploration 07: Fifth decennial international conference on mineral exploration, Toronto, Canada, pp 61–95Google Scholar
  64. Paterson NR (2003) Geophysical developments and mine discoveries in the 20th century. Lead Edge 22(6):558–561Google Scholar
  65. Plumlee GS, Nash JT (1995) Geoenvironmental models of mineral deposits – fundamentals and applications: U.S. Geol Surv Open-File Rep 95-831:1–9Google Scholar
  66. Pohl WL (2011) Economic geology: principles and practice. In: Metals, minerals, coal and hydrocarbons – introduction to formation and sustainable exploitation of mineral deposits. Blackwell Publishing Ltd., Oxford, 663 pGoogle Scholar
  67. Rajabzadeh MA, Ghasemkhani E, Khosravi A (2015) Biogeochemical study of chromite bearing zones in Forumad area, Sabzevar ophiolite, northeastern Iran. J Geochem Explor 151:41–49Google Scholar
  68. Reeve JS, Cross KC, Smith RN, Oreskes N (1990) Olympic dam copper–uranium–silver deposit. In: Hughes FE (ed) Geology of the mineral deposits of Australia and Papua New Guinea. Australasian Institute of Mining and Metallurgy, Melbourne, pp 1009–1035Google Scholar
  69. Reid N, Hill SM (2010) Biogeochemical sampling for mineral exploration in arid terrains: Tanami Gold Province, Australia. J Geochem Explor 104:105–117CrossRefGoogle Scholar
  70. Robinson LJ (2007) The spatial and temporal distribution of the metal mineralisation in Eastern Australia and the relationship of the observed patterns to giant ore deposits. Thesis, University of Queensland, Australia, 258 pGoogle Scholar
  71. Rossi ME, Deutsch DV (2014) Mineral resource estimation. Springer Science + Business Media, Dordrecht, 332 pGoogle Scholar
  72. Rutter H, Esdale DJ (1985) The geophysics of the Olympic dam discovery. Bull Aust Soc Explor Geophys 16:273–276Google Scholar
  73. Sabbins FF, Oliver S (2004) Remote sensing for mineral exploration. Ore Geol Rev 14:157–183CrossRefGoogle Scholar
  74. Safronov NI (1936) Dispersion haloes of ore deposits and their use in exploration. Probl Sov Geol 4:41–53Google Scholar
  75. Samuelsson B (2007) Geology for underground mining. In: Smith M (ed) Mining methods in underground mining. Atlas Copco Craelius AB, Märsta, pp 7–12Google Scholar
  76. Schulz KJ (2012) Regional environment in volcanogenic massive sulfide occurrence model. U.S. Geological Survey Scientific Investigations Report 2010–5070 –C, chap. 4, 24 p.Google Scholar
  77. Schulz KJ, Woodruff LG, Nicholson SW, Seal RR, II, Piatak NM, Chandler VW, Mars JL (2014) Occurrence model for magmatic sulfide-rich nickel-copper-(platinum-group element) deposits related to mafic and ultramafic dike-sill complexes: U.S. Geological Survey Scientific Investigations Report 2010–5070–I, 80 pGoogle Scholar
  78. Seal RR, Foley NK, Wanty RB (2002) Introduction to geoenvironmental models of mineral deposits. In: Seal RR, Fowley NK (eds) Progress on geoenvironmental models for selected mineral deposit types, U. S. Geological Survey Open-File Report 02-195:1–7Google Scholar
  79. Shen P, Shen Y, Liu T, Li G, Zeng Q (2008) Prediction of hidden Au and Cu-Ni ores from depleted mines in Northwestern China: four case studies of integrated geological and geophysical investigations. Mineral Deposita 43:499–517Google Scholar
  80. Sinclair AJ, Blackwell GH (2002) Applied mineral inventory estimation. Cambridge University Press, New York, 381 ppCrossRefGoogle Scholar
  81. Sinclair AJ, Nowak MS, Radlowski ZA (1993) Geostatistical estimation of dilution by barren dykes at Snip gold mine and Virginia porphyry Cu–Au deposit; in Elbrond, J., and X. Tang (eds) Proc. 24th Symp. on Application of computers and operations research to the minerals industry, Oct. 31–Nov. 3, Montreal, vol 2, pp 438–444Google Scholar
  82. Singer DA (1995) World class base-and precious-metal deposits-a quantitative analysis. Econ. Geol. 90:88–104Google Scholar
  83. Singer DA, Menzie WD, Sutphin D, Mosier DL, Bliss JD (2001) Mineral deposit density—an update. In: Schulz KJ (ed) Contributions to global mineral resource assessment research. US Geological Survey Professional Paper 1640–A, A1–A13Google Scholar
  84. Sirotinskaya SV (2004) Cause-effect analysis in assessment of mineral resources. Nat Resour Res 13(1):17–28CrossRefGoogle Scholar
  85. Stevens R (2010) Mineral exploration and mining essentials. Pakawau Geomanagement Inc., Port Coquitlam, 322 pGoogle Scholar
  86. Swan ARH, Sandilands M (1995) Introduction to geological data analysis. Blackwell Science, London, 446 pGoogle Scholar
  87. Thuro K (1997) Drillability prediction—geological influences in hard rock drill and blast tunneling. Geol Rundsch 86:426–438Google Scholar
  88. Walters S, Skrzeczynski B, Whiting T, Bunting F, Arnold G (2002) Discovery and geology of the Cannington Ag–Pb–Zn deposit, Mount Isa Eastern Succession, Australia: development and application of an exploration model for Broken Hill-type deposits. In: Goldfarb RJ, Neilsen RL (eds) Integrated methods for discovery: global exploration in the twenty first century, vol 9. Economic Geology Special Publications, London, pp 95–118Google Scholar
  89. Wang X (2015) China geochemical baselines: Sampling methodology. J Geochem Explor 148:25–39Google Scholar
  90. Wilburn DR, Karl NA (2016) Exploration Review, Annual Review 2015. Mining Engineering 68:30–51Google Scholar
  91. Whateley MKG (2006) Remote sensing. In: Moon CJ, Whateley MKG, Evans AM (eds) Introduction to mineral exploration, 2nd edn. Blackwell Publishing, Ltd., Oxford, pp 104–126Google Scholar
  92. Winchester S (2001) The map that changed the world. Harper Collins, New York, 329 pGoogle Scholar
  93. Yarali O, Kahraman S (2011) The drillability assessment of rocks using the different brittleness values. Tunn Undergr Space Technol 26:406–414Google Scholar

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© Springer International Publishing AG 2018

Authors and Affiliations

  • Manuel Bustillo Revuelta
    • 1
  1. 1.Faculty of GeologyComplutense UniversityMadridSpain

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