Volume 6, Issue 3, June 2017, Page: 35-43
The Ore Deposit 3D Modelling, New Effective Solution in the Optimization of Geological and Mining Works
Bele Sirelda, Geoinformation Department, Geological Faculty of Mining, Polytechnic University of Tirana, Tirana, Albania
Kamberaj Resmi, CEO GeoEconomics, Platinum Resources, Brisbane, Australia
Received: May 8, 2017;       Accepted: May 17, 2017;       Published: Jun. 9, 2017
DOI: 10.11648/j.earth.20170603.12      View  2253      Downloads  88
Abstract
Despite its small area, Albania is rich in mineral deposits. One of these is Kçira's copper ore deposit located about 12 km west of Puka. The core tools for developing and mining in local or regional-scale 3D common earth models for the purpose of targeting new ore or specific geologic relationships are now here. It is now incumbent on the industry, with its wealth of knowledge of specific ore forming processes, its rich archive of 3D data sets, and with a definite need to find deeper ore, to capitalize on this new technology to achieve its expected goals, enhancing the mineral targeting process and ultimately increasing mineral wealth. The emerging geo-modelling softwares for automating the model construction process, are leaving the experts free time to interpret and test exploration criteria. Due to the rapid technological change it is easier to process data and create a 3D model of the mineral body, update in real time, also increasing the accuracy of calculating the quantity of metals in the mineral resource. This article treats the 3D modelling of the copper ore using the Maping and General mining software. This method of modelling ore bodies reduces the time and cost for research and exploitation by facilitating the work of geologists, institutions and companies on their respective functions. Geological modelling is a complex sub-discipline of geology which integrates structural geology, sedimentology, paleo climatology, metallogeny, diagenesis etc. The model that we obtain for this mineral deposit (based on implicit and explicit methods) is important because it allows us to calculate and represent accurately the amount of copper metal, in-citu and mining resources.
Keywords
3D Modelling, Copper, Exploration, Implicit, Puka
To cite this article
Bele Sirelda, Kamberaj Resmi, The Ore Deposit 3D Modelling, New Effective Solution in the Optimization of Geological and Mining Works, Earth Sciences. Vol. 6, No. 3, 2017, pp. 35-43. doi: 10.11648/j.earth.20170603.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Apel M (2006): From 3D geomodelling systems towards 3D geoscience information systems: Data model, query functionality, and data management. – Computers & Geosciences 32(2): 222–229.
[2]
Artimo A, Makinen J, Berg RC, Abert CC, Salonen VP (2003): Three-dimensional geologic modeling and visualization of the Virttaankangas aquifer, southwestern Finland. – Hydrogeology Journal 11(3): 378–386.
[3]
Barnett PJ, Sharpe DR, Russell HAJ, Brennand TA, Gorrell G, Kenny F, Pugin A (1998): On the origin of the Oak Ridges Moraine. – Canadian Journal of Earth Sciences 35(10): 1152–1167.
[4]
Bowler, J., 2002, Ministerial inquiry into Greenf elds Exploration in Western Australia: Western Australia Department of Industry and Resources, 146 p.
[5]
Calcagno, P., Chilès, J., Courrioux, G., Guillen, A., 2008. Geological modeling from field data and geological knowledge: Part I. Modeling method coupling 3D potential-field interpolation and geological rules.
[6]
Chambers H, Brown AL (2003): 3-D visualization continues to advance integrated interpretation environment. – First Break, May 2003, http://www.lgc.com/resources/technicalreview04/ 3dvisualizationcontinues.pdf.
[7]
Chilès, J. P., Aug, C., Guillen, A., and Lees, T., 2004, Modelling the geometry of geological units and its uncertainty in 3D from structural data: The potential f eld method: Australasian Institute of Mining and Metallurgy, Orebody Modelling and Strategic Mine Planning [abs.]: Uncertainty and Risk Management, Perth, WA, November 22–24, 2004, Proceedings, p. 313–320.
[8]
Codd, E. F. A relational model of data for large shared data banks, Comm. ACM 9 (1970), No. 9, pp 377-387.
[9]
De Kemp, E. A., 2006, 3-D Interpretive Mapping: An Extension of GIS Tech-nologies for the Geoscientist: Harris, J. R. ed., GIS for the Earth Sci-ences, Geological Association of Canada Special Publication, v. 44, p. 591–612.
[10]
Fallara, F., Legault, M., Rabeau, O., 2006.3-D integrated geological modelling in the Abitibi sub province (Québec, Canada): techniques and applications Exploration and Mining Geology, 15 (2) (2006).
[11]
Goleby, B. R., Korsch, R. J., Fomin, T., Bell, B., Nicoll, M. G., Drummond, B. J., and Owen, A. J., 2002, Preliminary 3-D geological model of the Kalgoorlie region, Yilgarn Craton, Western Australia, based on deep seismic-ref ection and potential-f eld data: Australian Journal of Earth Sciences, v. 49(6), p. 917–933.
[12]
Gjoni, S., Tershana, A., 1988. Geological Report with the reserves calculation of copper deposit in the region of Kçira.
[13]
Henriksen HJ, Troldborg L, Nyegaard P, Sonnenborg TO, Refsgaard JC, Madsen B (2003): Methodology for construction, calibration and validation of a national hydrological model for Denmark. – Journal of Hydrology 280(1–4): 52–71.
[14]
Hojberg AL, Refsgaard JC (2005): Model uncertainty – parameter uncertainty versus conceptual models. – Water Science and Technology 52(6): 177–186.
[15]
Houlding. S. W., 1994 3D Geoscience Modeling-computer Techniques for Geological Characterization Springer–Verlag, Berlin, Germany (1994).
[16]
James, P. Reed. Volumetric Analysis & Three-Dimensional Visualization of Industrial Mineral Deposits
[17]
Jeffery, K. G. & Gill, E. M. The design philosophy of the G-EXEC system’. Computers and Geosciences 2 (1976) No.3, pp 347-349.
[18]
Journel, A. G., and Kyriakidis, P. C., 2004, Evaluation of mineral reservers: A simulation approach: London, Oxford University Press, 216 p.
[19]
Kassenaar D, Holysh S, Gerber R (2003): An integrated 3D Hydrostratigraphic Interpretation Methodology for Complex Aquifer Systems. – In: Poeter, Zheng, Hill and Doherty (eds.): Proceedings, MODFLOW and More, understanding through modelling, Colorado School of Mines, Golden CO, September 16–19, 2003, p. 661–665.
[20]
Mallet, J. L., 2002, Geomodeling, Oxford University Press, 599 p.
[21]
Pjetri, N. 2011. Relacion mbi punime gjeologjike te kryera ne Kçire, (material i pa botuar), Nd, Gjeologjike Puke
[22]
Rasmussen ES (2004b): Stratigraphy and depositional evolution of the uppermost Oligocene – Miocene succession in Denmark. – Geological Society of Denmark, Bulletin 51: 89–109.
[23]
Refsgaard JC,Henriksen HJ (2004): Modelling guidelines – terminology and guiding principles. – Advances in Water Resources 27(1): 71–82.
[24]
Shepard, D., 1968. A two-dimensional interpolation function for irregularly spaced data. In: Proceedings of the 23rd National Conference ACM, New York, NY, pp. 517-523
[25]
Sprague, K., Kemp, E., Wong, W., McGaughey, J., Perron, G., Barrie, T., 2006. Spatial targeting using queries in a 3-D GIS environment with application to mineral exploration, Computers and Geosciences, 32 (3) (2006).
[26]
Wang, G., Chen, J., Du, Y., 2007. Three-dimensional localization prediction of deposit and mineralization environment quantitative assessment: a case study of porphyry copper deposits in Sanjiang region, China. In: Proceedings of IAMG, 07 Geomathematics and GIS Analysis of Resources, Environment and Hazards, Beijing, China, pp. 102-105.
[27]
Woodall, R., and Duncan, I. J., 1993, The third dimension: A geoscience challenge for the 21st century: Australian Institute of Mining and Metallurgy, Parkville, Victoria, Australia (AUS), 39–40 p.
[28]
Zanchi, A., Francescac, S., Stefano, Z., Simone,S., Graziano. G., 2009. 3D reconstruction of complex geological bodies: examples from the Alps, Computers and Geosciences, 35 (2009).
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