Abstract
Exploration is a sequential process, possibly resulting in the discovery of a new deposit. In the early phases of exploration, data and information is generally lacking or insufficient.
Nevertheless, it must be possible to make decisions of economic import, e.g. whether exploration should proceed or not or which methods and strategies should be used to maximize search efficiency. In this regard, the prognostic value of “probabilitiy mapping” cannot be underestimated; it provides an objective basis to develop subsequent strategies and to aid in decision making.
Objective planning data can only be produced when the available information is optimally used. For example, decisions can be facilitated if data from areas with a high level of information is included. An “historical analysis” of training areas can complement standard geologic analysis, furnishing valuable insights into the problem.
The following case studies are used to illustrate the affect which the level of information has on the choice of the methods used and on the probability maps.
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References
Agterberg, F.P.: Automatic Contouring of Geological Maps to Detect Target Areas for Mineral Exploration.-Jour. Internat. Assoc. Math. Geologists, 6, 373–395, 1974
Agterberg, F.P.: Frequency Distributions and Spatial Variability of Geological Variables.-Proc. 14th Symposium APCOM, 287–298, New York 1977
Attia, M.I.: Topography, geology and iron-ore deposits of the district east of Aswan.-Geological Surv. Egypt, Cairo, 247 pp., 1955
Baxter, G.G., Cargill, S.M. et al.: Workshop on the Delphi Method.-J. Intern. Ass. Math. Geol., 10, 581–588, 1978
Borgman, L.E. & R.B. Frahme: A Case Study: Multivariate Properties of Bentonite in Northeastern Wyoming.-In: Advanced Geostatistics (Eds.: Guarascio et al.), 381–390, Reidel, 1976
Burger, H. & CI. Kliem: Integrated Data Analysis for the Selection of Favorable Areas of Pb-Zn-Mineralizations on Biga Peninsula, NW-Turkey.-XXIV. Symp. Mining, Pribram 1985
Clark, I.: The Art of Cross Validation in Geostatistical Applications.-Proc. 19th Symposium APCOM, 211–220, Littleton 1986
Constantinides, D., H. Faltsetas, S. Papastavrou & M. Shulman: The Classification and Ranking of Exploration prospects: Kuroko Type, Zn-Ag-Pb Deposits, Greece.-Proc. 19th Symposium APCOM, 687–694, Littleton, 1986
Duda, R., Hart, P., et al.: Development of the Prospector Consulation System for Mineral Exploration,. SRI International, Final Report, 173 S., 1978
Griffiths, J.C.: The Unit Regional-Value Concept and its Application to Kansas: Kansas Geol. Surv. Spec. Distr. Publ., 38, 48 pp., Lawrence, Kansas 1969
Guarascio, M.: Improving the Uranium Deposits Estimations (The Novazza Case).-In: Guarascio et al. (Eds.) Advanced Geostatistics in the Mining Industry, 351–368, Reidel, Dordrecht 1976
Hambleton, W.W., Davis, J.C. & Doveton, J.H.: Estimating exploration, in Haun (Ed.) Methods of Estimating the Volume of Undiscovered Oil and Gas Resources: Amer. Ass,. Petrol. Geol., Studies in Geology, 1, 171–185, 1975
Harris, D.P.: Mineral resources appraisal.-Oxford Geol. Sci. Ser., 445 S., Carendon, Oxford 1984
Journel, A. & Huijbregts, Ch.: Mining Geostatistics.-Academic Press, London 1978
Klitzsch, E. & Lejal-Nicol, A.: Flora and Fauna from Strata in Southern Egypt and Northern Sudan (Nubia and Surrounding Areas).-Berliner Geowiss. Abhandl., A, 50, 47–80, Berlin 1984
Mcmmon, R.B., J.M. Botbol, R. Sinding-Larsen & R.W. Botbol: The New Characteristic Analysis/(NCHARAN) Program.-Geol. Survey Bulletin 1621, 27 pp., 1984
Geological Survey of Egypt: Map of Mineral Resources of Egypt. Cairo 1979
Pawlowsky, V.: La Covariance Spatiale des Variables de Somme Constante.-Sci. de la Terre, Paris 1984
Shulman, M.: An Exploration Strategy for Phosphates in the Sinai Peninsula, Egypt.-Proc. 18th APCOM Intern. Symposium, London 1984 (a)
Shulman, M.: Probability Mapping Using a Monte Carlo Simulation.-Berliner Geowiss. Abh., 50, Berlin 1984 (b)
Shulman, M.: Initial Optimal Allocation of Effort in Mineral Exploration.-Transactions SME-AIME, Littleton, 1984 (c)
Shulman, M. & W. Skala: Computer Assisted Exploration: Exploration for Phosphorites in the Sinai Peninsula, Egypt-a Review.-Berliner Geowiss. Abh., A, 50, 399–406, Berlin 1984
Shulman, M. & W. Skala: Predictive Assessment of Mineral Potential in Desert Terrain.-In: Prospecting in Areas of Desert Terrain, 59–69, IMM, London 1985
Singer, D.A.: Multivariate Statistical Analyisis of the Unit Regional Value of Mineral Resources.: Ph. D., Dept., Geochem. Min., Penn State Univ., 210 pp., State College 1971
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© 1988 D. Reidel Publishing Company, Dordrecht, Holland
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Skala, W. (1988). Levels of Information and Probalitity Mapping. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_4
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DOI: https://doi.org/10.1007/978-94-009-4029-1_4
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