Resource estimation of the Damanghor gold deposit, based on geology and grade continuity

Document Type : Research Paper

Authors

Department of Mining and Metallurgical Engineering,Amir Kabir University of Technology, Tehran, Iran

Abstract

The selection of an appropriate estimation method is a crucial decision in resource estimation processes. There are multiple resource estimation methods of which the most important one is block modelling. Among the block modelling methods used for the estimation of gold resources, three methods have a broader application. These methods include Inverse Distance Weighting (IDW), Ordinary Kriging (OK), and Full Indicator Kriging (FIK). We compared the results of these three techniques and selected the most appropriate method for resource estimation of the Damanghor gold deposit. For this purpose, we prepared the geometric model of the deposit based on geological continuity and then, conducted the variography procedure to determine the grade continuity and the amount of gold resource. The dataset of the Damanghor area included eight diamond drilling boreholes and eight exploratory trenches comprising the grade results of 405 samples. The results show that FIK is the best method for resource evaluation of this case study. The OK method, however, is not suitable for this deposit. The IDW method provides reliable results when the drilling spacing is less than the variography range. This results can be used for the estimation of inferred resources when the geological continuity is appropriately determined.

Keywords


Article Title [Persian]

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Abbasnia H, Karimpour MH, and Malekzadeh Shafaroudi A., 2018. Petrology, Geochemistry, Zr and Sr-Nd dating ofigneous rocks in the Damanghor area, North of Bardaskan, Khorasan Razavi Province. Journal of Earth Sciences,113:189-198.3##
Armstrong, M., 1998. Basic linear geostatistics. Springer Science & Business Media, 152p.##
Afzal, P., 2018. Comparing ordinary kriging and advanced inverse distance squared methods based on estimating coal deposits; case study: East-Parvadeh deposit, central Iran. Journal of Mining and Environment, 9(3): 753–760.##
Al-Hassan, S., Boamah, E., 2015. Comparison of Ordinary Kriging and Multiple Indicator Kriging Estimates of AsuadaiDeposit at Adansi Gold Ghana Limited, Ghana Mining Journal, 15(2): 42–49.##
Dominy, S.C. and Hunt, S.P., 2001. Evaluation of gold deposits—Part 2: results of a survey of estimation methodologies applied in the Eastern Goldfields of Western Australia. Applied Earth Science, 110(3): 167–175.##
Dominy, S.C., and Annels, A.E., 2001. Evaluation of gold Deposits i: a review of mineral resource estimation Methodology applied to fault and fracture-related systems. Transactions of the institution of mining and metallurgy, 110: 145–166.##
Daya, A.A., 2015. Ordinary Kriging for the Estimation of Vein Type Copper Deposit: A Case Study of the Chelkureh, Iran: Journal of Mining Metallurgy, 51A (1):1–14.##
Dagbert, M., 2005. Geostatistics in resource/reserve estimation: a survey of the Canadian mining industry practice, Geostatistics Banff 2004 – Springer, Dordrecht, 345–353.##
Fazlikhani, T., 2015. Classic resource estimation of the Hired Gold Deposit. Geological Survey of Iran Press (Technical Report in Persian).##
Fytas, K., Chaouai, N.E., Lavigne, M., 1990. Gold deposits estimation using indicator kriging. CIM Bulletin, 83(934):77–83.##
Glacken I. M., and P.A. Blackney,, 1998. A practitioners’ implementation of indicator kriging, In J. Vann (ed.), Proceedings of a one-day symposium: Beyond Ordinary Kriging. Perth: Geostatistical Association of Australasia.##
Hill, D., 1998. Comparison of median indicator kriging with full indicator kriging in the analysis of spatial data. Edith Cowan University. Jiangxi Geophysical and Geochemical Exploration Co., and Geological Survey of Iran (1995) Explanatory Text of Geochemical Map of Bardaskan, Stream Sediment Survey, Scale 1:100000, Report No. 18.##
Jones, I., 1998. A case study using Indicator Kriging — the Mount Morgan gold-copper deposit, Queensland. Perth, Western Australia Proceedings of a symposium held Friday 30th October.
Journel, A.G., 1983. Nonparametric estimation of spatial distributions. Journal of the International Association for Mathematical Geology. 15(3):445-468.##
Keogh, A., and Moulton, C., 1998. Median indicator kriging—a case study in iron ore, In J. Vann (ed.), Proceedings of a one-day symposium: Beyond Ordinary Kriging. Perth: Geostatistical Association of Australasia.##
Kim, S.M., Choi, Y. and Park, H.D., 2018. New Outlier Top-Cut Method for Mineral Resource Estimation via 3D Hot Spot Analysis of Borehole Data.##
Knight, R.H., Lane, R.G., Ross, H.J., Abraham, A.P.G. and Cowan, J., 2007, September. Implicit ore delineation. In Proceedings of Exploration 7: 1165-1169.##
Lipton, I., Gaze, R., Horton, J., and Khosrowshahi, S., 1998. Practical application of multiple indicator kriging and conditional simulation to recoverable resource estimation for the halley’s lateritic nickel deposit. In J. Vann (ed.), Proceedings of a one-day symposium: Beyond Ordinary Kriging. Perth: Geostatistical Association of Australasia.##
Mazhari, S.A., Klötzli, U. and Safari, M., 2019. Petrological investigation of Late Cretaceous magmatism in Kaboodan area, NE Iran: Evidence for an active continental arc at Sabzevar zone. Lithos, 348, p. 105183.##
Monazzami Bagherzadeh R, Karimpour MH, Lang Farmer G, Stern CR, Santos JF, Rahimi B, Heidarian Shahri MR, 2015. U–Pb zircon geochronology, petrochemical and Sr–Nd isotopic characteristic of Late Neoproterozoic granitoid of the Bornaward Complex (Bardaskan-NE Iran). Journal of Asian Earth Science 111: 54-71.##
Mpanza, M., 2015. Comparison of ordinary and simple kriging on a PGE resource in the eastern limb of the bushveld complex, University of the Witwatersrand, Johannesburg, Thesis of Master of Science in partial fulfilment of Science in Engineering,129p.##
Rahimi, H, Asghari, O., Hajizadeh F., Meysami F., 2018a. Investigation of linear and non-linear estimation methods in highly-skewed gold distribution Journal of Mining & Environment, 9(4):967–979.##
Rahimi, H, Asghari, O., Hajizadeh, F., 2018b. Selection of Optimal Thresholds for Estimation and Simulation Based on Indicator Values of Highly Skewed Distributions of Ore Data, Natural Resources Research 27(4): 437–453##
Rezaie, M., Afzal, P., 2016. The effect of estimation methods on fractal modeling for anomalies’ detection in the Irankuh area, Central Iran. Geopersia 6: 105–116.##
Safari M, Jafari M, Fazlikhani T., 2014. Detail exploration of Damanghor gold deposits, Bardaskan. Unpublished Technical Report, Geological Survey of Iran Press (in Persian).
394 Azmi et al. Geopersia, 10 (2), 2020##
Setianto and Triandini, 2013. Comparison of kriging and inverse distance weighted (IDW) interpolation methods in lineament, J. SE Asian Appl. Geol., Jan–Jun 2013, 5(1): 21–29##
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, 7: 3693–3704.##
Sinclair, A. J. and Vallee, M., 1994. Reviewing continuity, an essential element of quality control for deposit and reserve estimation: Exploration and Mining Geology. 3(2): 95–108.##
Sinclair, A.J., Blackwell, G.H., 2004. Applied Mineral Inventory Estimation. Cambridge University Press. 381p.##
Vann, J., Guibal, D., 1998. Beyond ordinary kriging- an overview of non-linear estimation. In J. Vann (ed.), Proceedings of a one-day symposium: Beyond Ordinary Kriging. Perth:eostatistical Association of Australasia##