Development of HUMGEOSTAT: A New Geological Tool for Geostatistical Analysis of Mineral Deposit: A Case Study at Sin Quyen Mine (Northern Vietnam)

Authors

  • Faculty of Information Technology, Hanoi University of Mining and Geology, 18 Pho Vien, Duc Thang, Bac TuLiem, Hanoi
  • Faculty of Information Technology, Hanoi University of Natural Resources and Environment, 41A Pho Dien, Bac Tu Lien, Hanoi
  • Faculty of Information Technology, Hanoi University of Mining and Geology, 18 Pho Vien, Duc Thang, Bac TuLiem, Hanoi
  • Media Center, Osaka City University3-3-138, Sugimoto, Sumiyoshi-ku, Osaka 558-8585
  • Faculty of Information Technology, Hanoi University of Natural Resources and Environment, 41A Pho Dien, Bac Tu Lien, Hanoi

DOI:

https://doi.org/10.1007/s12594-019-1219-4

Keywords:

No Keywords

Abstract

This paper presents the results of the design and implementation of a new geological tool, named as HUMGEOSTAT, for advanced geostatistical analysis of mineral deposit, a case study at the Sin Quyen, one of the important mines for the Vietnam mining industry in Vietnam. The tool is developed based on the Stanford Geostatistical Modeling Software (SgeMS) platform, which is an open-source computer package for solving problems involving spatially related variables. The tool is capable of supporting users in reducing uncertainty and improving the quality of mining exploration tasks. The tool has all the functions needed to solve a complete geostatistical issues i.e. Variogram models (such as Spherical, Exponential, Gausian, Linear and Pure nugget effect); and four commonly used Kriging methods (Ordinary Kriging, Simple Kriging, Indicator Kriging, Co-Kriging). The tool was applied to test various types of input data and particularly for complex copper ore bodies of Sin Quyen mine. The results of analysis of orebody spatial structure has found that Cu content has non-uniform change, regional anisotropy in north-south (0±22.50) direction, and anisotropic index is around 1.3. The mineral reserves are estimated according to sub-blocks and points in the orebody-space. The results indicate that the Ordinary Kriging (OK) has reliable results, variance estimation is small; the predicted result gained from OK have strong correlation (K=0.905) with ore samples. HUMGEOSTAT was applied at the Sin Quyen mine and various coal mines, the results were adapted with reality of mines.

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Published

2019-05-02

How to Cite

Truong, X. L., Truong, X. Q., Nguyen, T. A., Raghavan, V., & Nguyen, C. C. (2019). Development of HUMGEOSTAT: A New Geological Tool for Geostatistical Analysis of Mineral Deposit: A Case Study at Sin Quyen Mine (Northern Vietnam). Journal of Geological Society of India, 93(5), 574–582. https://doi.org/10.1007/s12594-019-1219-4

References

Asghari, O. and Madani Esfahani N. (2013) A new approach for the geological risk evaluation of coal resources through a geostatistical simulation. Case study: Parvadeh III coal deposit. Arab. Jour. Geosci., v.6, pp.957–970.

Chilès, J. and Delflner, P. (1999) Geostatistics: Modeling Spatial Uncertainty, New York: John Wiley &Sons, 695p.

Cressie, N. (1993) Statistics for Spatial Data, New York: John Wiley & Sons, pp.105-119.

Gas'kov I.V., Tran Tuan Anh, Tran Trong Hoa, Pham Thi Dung, P.A. Nevol'ko, Pham Ngoc Can (2012) The Sin Quyen Cu–Fe–Au–REE deposit (northern Vietnam): composition and formation. Russian Geology and Geophys., v.53; pp.442–45.

Daya, Ali Akbar (2015) Ordinary Kriging for the Estimation of Vein Type Copper Deposit: A Case Study of the Celkureh, Iran. Jour. Min. Metall., 51A (1) pp.1-14.

Daya, A.A. and Bejari, H. (2014) A comparative study between simplekriging and ordinary kriging forestimating and modeling the Cu concentration in Chehlkureh deposit, SE. Iran. Arabian Jour. Geosciences, v.8, pp.931949. doi: 10.1007/s12517-014-1618-1.

Deutsch, C.V. and Journel, A. G. (1992a) GSLB: Geostatistical Software Library and User's Guide, 2nd Edn, New York: Oxford University Press, pp.150155.

Goovaerts, P. (1997) Geostatistics for Natural Resources Evaluation, New York: Oxford University Press, pp.205-224.

Edward, H. Isaaksand, E.H., Srivastava, R.M. (1989) An Introduction to Applied Geostatistics,New York, Oxford University Press, pp. 215, 370.

Journel, A.G. and Huijbregts, C.J. (1978) Mining Geostatistics. New York: Academic Press, pp.236-253.

Lantuéjoul, C. (2002) Geostatistical Simulation Models and Algorithms. Springer, 256p.

Leloup, P.H., Lacassin, R., Tapponnier, P., Scharer, U., Zhong Dalai, Liu Xiaohan, Zhang Liangshang, Ji Shaocheng, Phan Trong Trinh (1995) The Ailao Shan–Red River shear zone (Yunnan, China), Tertiary transform boundary of Indochina,Tectonophysics, v.251, (1–4), pp.3-10, 23-84.

Li, Xiao-Chun, Zhou, Mei-Fu, Chen, Wei-Terry, Zhao, Xin-Fu, My DungTran, (2016) Uranium-lead dating of hydrothermal zircon and monazite from the Sin Quyen Fe-Cu-REE-Au-(U) deposit, State level project.

Matheron, G. (1970) La theory des variables régionalisees, et ses application, Advances in Applied Probability, v.5, pp.439-468.

Mclean, R.N. (2001) The Sin Quyen Iron Oxide-Copper-Gold-Rare Earth Oxide Mineralisation of North Vietnam, in Porter, T.M. (E.d.), Hydrothermal Iron Oxide Copper–Gold &Related Deposits: A Global Perspective, Volume 2; PGC Publishing, Adelaide, pp.293-301.

Pham, Q.D. et al., (2017) Exploration Report 2 on No.3 and No.7 Orebodies of the Sin Quyen Copper Deposit, Lao Cai Province (in Vietnamese).

Pishbin Mahboubeh, Nader Fathianpour, (2014) Assessing the Performance of Statistical-structural and Geostatistical Methods in Estimating the 3D Distribution of the Uniaxial Compressive Strength Parameter in the Sarcheshmeh Porphyry Copper Deposit. Int. Jour. Min. & Geo-Engg., v.48(1), pp.11-30.

Remy Nicolas, Boucher Alexandre and Wu Jianbing. (2009) Applied Geostatistics with SGeMS: A Users' Guide, Cambridge University Press, pp. 48-50, 90-98, pp.104-105.

Shahbeik, Sh., Afzal, P., Moarefvand, P., Qumarsy, M. (2014) Comparisonbetween Ordinary Kriging (OK) andInverse Distance Weighted (IDW) basedon estimation error: Case study: inDardevey iron ore deposit, NE Iran. Arab. Jour. Geosci., v.7, pp.3693–3704.

Truong, X.L., Truong X.Q., Nguyen, T.A., Dang, V.N., and Nguyen, T.C. (2017) Construction geostatistical model evaluation copper ore: A case study Sin Quyen copper deposit, Lao Cai province (Northern Vietnam). International For on Topical Issues of Rational Use of Natural Resources. St. Petersburg. Russia, 4-2017.

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