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Regional mineral resources assessment based on rasterized geochemical data: A case study of porphyry copper deposits in Manzhouli,China
Institution:1. Department of Geochemistry and Ore-Forming Processes, A.N. Zavaritsky Institute of Geology and Geochemistry, the Uralian Branch of Russian Academy of Sciences, Pochtovy per. 7, Ekaterinburg 620075, Russia;2. Department of Civil and Environmental Engineering, University of Strathclyde, Glasgow G4 0NG, United Kingdom;3. ARC Centre of Excellence for Core to Crust Fluid Systems/GEMOC Key Centre, Department of Earth and Planetary Sciences, Macquarie University, Sydney, NSW 2109, Australia;4. Department of General and Analytical Chemistry, University of Leoben, Leoben 8700, Austria;1. State Key Laboratory of Geological Processes and Mineral Resources, and School of Earth Science and Resources, China University of Geosciences, Beijing 100083, China;2. Gold Geological Institute of CAPF, Langfang 065000, China;3. James Cook University, Townsville 4811, Queensland, Australia;1. Institute of Geophysics, China Earthquake Administration, 100081, Beijing, China;2. Centre for Tectonics, Resources and Exploration, Department of Earth Sciences, School of Physical Sciences, University of Adelaide, SA 5005, Australia;3. School of Earth Sciences and Resources, China University of Geosciences, 100083 Beijing, China;1. Department of Geology, Payame Noor University, P.O. Box 19395-3697, Tehran, Iran;2. Karadeniz Technical University, Department of Geological Engineering, 61080 Trabzon, Turkey;3. Karlsruhe Institute of Technology (KIT), Institute for Applied Geosciences, Kaiser Str. 12, 76131 Karlsruhe, Germany;4. Department of Geology, Shahid Bahonar University of Kerman, P.O. Box 133-76135, Kerman, Iran;5. Geoscience Faculty, Shahid Beheshti University of Tehran, Daneshju Blvd, P.O. Box: 1983963113, Tehran, Iran;1. Department of Earth Sciences, Stellenbosch University, South Africa;2. Rockwater Consulting Namibia, PO Box 27344, Windhoek, Namibia;3. International Base Metals Limited, 47 Neridah Street, Chatswood NSW 2057, Australia;4. Craton Mining and Explorations, PO Box 81136, Olympia, Windhoek, Namibia
Abstract:This study used regional geochemical survey data (1:200,000 scale) from the Manzouli area of China to assess mineral resources. Geochemical survey data was rasterized and a geochemical atlas was generated, with the image pixel size determined according to geochemical exploration sample point spacing. The Wunugetushan, Babayi, and Badaguan porphyry copper deposits were selected as model areas for the assessment of copper mineral resources. Three parameters were considered for the calculation of the mineral resources. An ore-bearing hydrothermal alteration coefficient was determined based on geological characteristics and geochemical characteristics of the model area, in order to determine alteration intensity; a denudation coefficient was calculated to determine denudation extent; and a mineralization intensity coefficient was calculated to determine the intensity of mineralization within each pixel. Resource estimation was conducted through regression analysis of model deposit resources and coefficients. The results can be used to determine prospecting target areas based on frequency classification and can be used to estimate the number of ore deposits. Results show that resource estimation using rasterized geochemical data provides high prediction precision and accurate positioning.
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