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THE MEANING OF GEOSTATISTICAL RESEARCH IN THE LIGHT OF THE CONCEPT OF ASSESSING VALUES OF LIGNITE DEPOSITS
 
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Wroclaw University of Technology
 
 
Corresponding author
Justyna Woźniak   

Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland
 
 
Mining Science 2015;22(Special Issue 2):105-112
 
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ABSTRACT
The article presents the role of geostatistical research in identification (and minimization) of a geological risk against the background of the concept presented, aiming at assessing the value of lignite deposits from the perspective of integrated entities, i.e. mines and power stations. A detailed review of the solutions in geostatistics is to prove their usefulness and convince about the purposefulness of their application. The issue of optimization of sampling the deposit is important in defining its value, and at the same time its future development. In addition, on each stage of the chain of creating the value, the areas were defined of uncertainties and a number of risk which are attached with reference to the solution proposed of assessing the deposit value.
REFERENCES (21)
1.
Annual Report of Mineral Reserves/Resources as of 31 XII 2013., 2014. Polish Geological Institute - National Research Institute, Warszawa (in. Polish).
 
2.
CARRASCO, P., CARRASCO, P., JARA, E. 2004. The economic impact of correct sampling and analysis practices in the copper mining industry, Chemometrics and Intelligent Laboratory Systems 74, pp. 209-213.
 
3.
CLARK, I. 1997. Practical geostatistics, Elsevier Applied Science.
 
4.
CLARK I., HARPER W. V. 2001. Practical geostatistics 2000, Ecosse North America Llc, Columbus Ohio USA.
 
5.
DUDEK M., JURDZIAK L., KAWALEC W., 2014. Electricity production from new lignite deposits as a potential factor in reindustrialization and increasing the wealth of society, Polityka EnergetycznaEnergy Policy Journal. Tom 17, zeszyt 4, pp. 187-204 (in Polish).
 
6.
GERSHON M. 1987. Comparisons of geostatistical approaches for drillhole site selection, APCOM 87, Proceedings of the Twentieth International Symposium on the Application of Computers and Mathematics in the Mineral Industries. Volume 3: Geostatistics. Johannesburg, SAIMM, pp. 93-100.
 
7.
JURDZIAK L. AND KAWALEC W. 2011. Geological risk assessment in the lignite surface mining industry with the use of the conditional simulation method, Przegląd Górniczy nr 12, 72-82 (in Polish).
 
8.
JURDZIAK L. AND WIKTOROWICZ J. 2008a. Conditional and Monte Carlo simulation - the tools for risk identification in mining projects, Economic evaluation and risk analysis of mineral projects, Taylor and Francis, pp. 61-72.
 
9.
JURDZIAK L. AND WIKTOROWICZ J. 2008b. Identification of risk factors in a bilateral monopoly of a mine and a power plant, Prace Naukowe Instytutu Górnictwa P. Wr. Nr 123, Studia i Materiały nr 34, pp. 97-111 (in Polish).
 
10.
MUCHA J. 1994. Geostatistics method in deposits documentation, Kraków, 155 (in Polish).
 
11.
NAMYSŁOWSKA-WILCZYŃSKA B. 2006. Geostatistics. Theory and application, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław (in Polish).
 
12.
NAWORYTA W. 2008. Variability analysis of lignite deposit parameters for output quality control, Gospodarka Surowcami Mineralnymi- Mineral Resources Management. T. 24, Zeszyt 2/4, pp. 97-110 (in Polish).
 
13.
NAWORYTA W. 2007. Impact of borehole net density on the accuracy of deposit parameters recognition considering its variability, Górnictwo Odkrywkowe R. 49 nr 7 Wrocław, pp. 46-51 (in Polish).
 
14.
NAWORYTA W. AND BENNDORF J. 2012. Accuracy assessment of geostatistical modelling methods of mineral deposit for the purpose of their future exploitation – based on one lignite deposit, Gospodarka Surowcami Mineralnymi- Mineral Resources Management T 28, Zeszyt 1 (in Polish).
 
15.
NAWORYTA W. AND MAZUREK S. 2007. Verification of correctness of borehole grid density selection for defined degree of depodit parameter recognition using geostatistical methods, Górnictwo Odkrywkowe R. 49 nr 5-6 Wrocław, pp. 139-145 (in Polish).
 
16.
PACTWA K. 2015. Optimizing of sampling of lignite deposit using geostatistical methods - a case study, Proceedings of the 12th International Symposium Continuous Surface Mining - Aachen 2014 / Ed. Christian Niemann-Delius Cham [et al.] Lecture Notes in Production Engineering, pp. 241-254.
 
17.
SOLTANI-MOHAMMADI S. AND HEZARKHANI A. 2013. Optimum locating of additional drillholes to optimize the statistical value of information, Journal of Mining and Metallurgy 49 A (1), pp. 21- 29.
 
18.
SZIDAROVSZKY F. 1983. Multiobjective observation regionalized variables, International Journal of Mining Engineering 1, pp. 331-342.
 
19.
UBERMAN R., 2012. Circumstances supporting use of real-options approach for valuation of selected classes of mineral deposits, Gospodarka Surowcami Mineralnymi - Mineral Resources Management, T. 28, Zeszyt 1, pp. 137 – 155 (in Polish).
 
20.
UBERMAN R., OSTRĘGA A. 2008. Applying the analytic hierarchy process for the valorisation (ranking) of the polish lignite deposits, Gospodarka Surowcami Mineralnymi Mineral Resources Management. T. 24, Zeszyt 2/4, pp. 73-95 (in. Polish).
 
21.
WOŹNIAK J. 2010. Risk analysis during evaluation of profitability of energy production from lignite, PhD dissertation, Wroclaw University of Technology (unpublished, in Polish).
 
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