6 research outputs found
MODELING OF THE ILOVICA-SHTUKA COPPER-GOLD DEPOSIT, MINERAL RESOURCE ESTIMATION AND CLASSIFICATION
The Ilovica β Shtuka project's mineral resource estimation has been defined in accordance with the reporting requirements outlined in the 2012 edition of the 2012 edition of the βAustralasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reservesβ (the JORC Code). Statistical and grade continuity analyses were completed to characterise the mineralisation and subsequently used to develop grade interpolation parameters for the deposit. Exploratory data analysis highlighted a number of statistically differentiated grade populations, which were interpreted to be controlled by the following: stockwork intensity, oxidation state, supergene leaching and enrichment. Wireframe models were used to isolate grade populations into domains for the purpose of sample selection and to constrain the grade interpolation. Grade estimation was completed using ordinary kriging. The search ellipsoid dimen-sions and orientations were chosen to reflect the continuity revealed by geostatistical studies and optimised using quan-titative kriging neighbourhood analysis. The wireframe models were used within the sample selection and compositing routine and subsequently as a constraint to the grade estimation. In calculating dollar equivalent block values metal prices used are provided by Euromax management and are generated based on industry capacity analysis, global com-modity consumption and economic growth trends. A Mineral Resource classification scheme consistent with the JORC guidelines (2012) was applied. The estimates are categorised in the Measured, Indicated and Inferred mineral Resource categories, reported above a cut-off grade that defines the Resource as potentially mineable by open pit mining methods. Resource grade/ tonnage sensitivity graph were created based upon a range of dollar equivalent cut- offs for blocks within the Resource pit shell
Modeling of the Ilovica-Ε tuka copper-gold deposit, mineral resource estimation and classification
The Ilovica-Ε tuka project's mineral resource estimation has been defined in accordance with the reporting requirements outlined in the 2012 edition of the βAustralasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reservesβ (the JORC Code). Statistical and grade continuity analyses were completed to characterize the mineralization and subsequently used to develop grade interpolation parameters for the deposit.
Exploratory data analysis highlighted a number of statistically differentiated grade populations, which were interpreted to be controlled by the following: stockwork intensity, oxidation state, supergene leaching and enrichment. Wireframe models were used to isolate grade populations into domains for the purpose of sample selection and to constrain the grade interpolation. Grade estimation was completed using ordinary kriging. The search ellipsoid dimensions and orientations were chosen to reflect the continuity revealed by geostatistical studies and optimized using quantitative kriging neighbourhood analysis. The wireframe models were used within the sample selection and compositing routine and subsequently as a constraint to the grade estimation. In calculating dollar equivalent block values metal prices used are provided by Euromax management and are generated based on industry capacity analysis, global commodity consumption and economic growth trends. A Mineral Resource classification scheme consistent with the JORC guidelines (2012) was applied. The estimates are categorized in the Measured, Indicated and Inferred Mineral Resource categories, reported above a cut-off grade that defines the resource as potentially mineable by open pit mining methods. Resource grade/tonnage sensitivity graph were created based upon a range of dollar equivalent cut-offs for blocks within the resource pit shell
GIS ΠΌΠΎΠ΄Π΅Π» Π½Π° ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠΈΡΠ΅ ΠΎΠ΄ ΠΈΡΡΡΠ°ΠΆΡΠ²Π°ΡΠ°ΡΠ° Π½Π° Π±Π°ΠΊΠ°ΡΠ½Π°ΡΠ° ΠΌΠΈΠ½Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡΠ° Π½Π° ΠΠ°Π·Π°Π½Π΄ΠΎΠ»
Π‘Π²Π΅ΡΡΠΊΠ°ΡΠ° ΠΏΠΎΠΏΡΠ»Π°ΡΠΈΡΠ° ΡΠ°ΡΡΠ΅ ΡΠ΅ ΠΏΠΎΠ±ΡΠ·ΠΎ ΠΈ ΠΏΠΎΠ±ΡΠ·ΠΎ, ΠΎΡΠΊΠΎΠ»ΠΊΡ Π²ΠΎ Π±ΠΈΠ»ΠΎ ΠΊΠΎΠ΅ Π²ΡΠ΅ΠΌΠ΅ Π²ΠΎ ΠΈΡΡΠΎΡΠΈΡΠ°ΡΠ° ΠΈ ΠΏΠΎΡΡΠΎΡΡΠ²Π°ΡΠΊΠ°ΡΠ° Π½Π° ΠΌΠΈΠ½Π΅ΡΠ°Π»Π½ΠΈΡΠ΅ ΡΠ΅ΡΡΡΡΠΈ ΡΠ°ΡΡΠ΅ ΡΠ΅ ΠΏΠΎΠ±ΡΠ·ΠΎ ΠΎΠ΄ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ΡΠΎ ΠΊΠΎΠ³Π° ΠΏΠΎΠ²Π΅ΡΠ΅ ΠΊΠΎΡΠΈΡΠ½ΠΈΡΠΈ Π²Π»Π΅Π³ΡΠ²Π°Π°Ρ Π²ΠΎ ΠΏΠ°Π·Π°ΡΠΎΡ Π·Π° ΠΌΠΈΠ½Π΅ΡΠ°Π»ΠΈ ΡΠ΅ΡΡΡΡΠΈ ΠΈ Π³Π»ΠΎΠ±Π°Π»Π½ΠΈΠΎΡ ΡΡΠ°Π½Π΄Π°ΡΠ΄ Π½Π° ΠΆΠΈΠ²Π΅Π΅ΡΠ΅ ΡΠ΅ Π·Π³ΠΎΠ»Π΅ΠΌΡΠ²Π°. Π‘Π²Π΅ΡΡΠΊΠ°ΡΠ° ΠΏΠΎΠ±Π°ΡΡΠ²Π°ΡΠΊΠ° Π½Π° ΠΌΠΈΠ½Π΅ΡΠ°Π»Π½ΠΈ ΡΡΡΠΎΠ²ΠΈΠ½ΠΈ Π΅ ΠΏΠΎΠ΄ Π²Π»ΠΈΡΠ°Π½ΠΈΠ΅ Π½Π° ΡΡΠΈ ΠΎΠΏΡΡΠΈ ΡΠ°ΠΊΡΠΎΡΠΈ: Π·Π³ΠΎΠ»Π΅ΠΌΡΠ²Π°ΡΠ΅ Π½Π° Π±ΡΠΎΡΠΎΡ Π½Π° ΠΊΠΎΡΠΈΡΠ½ΠΈΡΠΈ Π½Π° ΠΌΠΈΠ½Π΅ΡΠ°Π»Π½ΠΈ ΡΠ΅ΡΡΡΡΠΈ, ΠΏΠΎΡΠ°ΡΡ Π½Π° Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ΡΠΎ ΠΈ Π½Π° ΠΆΠΈΠ²ΠΎΡΠ½ΠΈΠΎΡ ΡΡΠ°Π½Π΄Π°ΡΠ΄. ΠΠ° ΠΏΡΠΈΠΌΠ΅Ρ, ΠΠΈΠ½Π° ΠΈ ΠΠ½Π΄ΠΈΡΠ° ΠΈΠΌΠ°Π°Ρ ΠΏΠΎΡΡΠΎΡΡΠ²Π°ΡΠΊΠ° Π½Π° Π±Π°ΠΊΠ°Ρ ΠΏΠΎ Π³Π»Π°Π²Π° Π½Π° ΠΆΠΈΡΠ΅Π» ΠΎΠ΄ 0,6 ΠΈ 2,7 ΠΊΠΈΠ»ΠΎΠ³ΡΠ°ΠΌΠΈ ΠΏΠΎ Π»ΠΈΡΠ΅ ΡΠΎΠΎΠ΄Π²Π΅ΡΠ½ΠΎ, Π΄ΠΎΠ΄Π΅ΠΊΠ° ΠΡΠΆΠ½Π° ΠΠΎΡΠ΅ΡΠ° ΠΈ Π’Π°ΡΠ²Π°Π½, ΡΠΎ Π·Π½Π°ΡΠΈΡΠ΅Π»Π½ΠΎ ΠΏΠΎΠΌΠ°Π»Π° ΠΏΠΎΠΏΡΠ»Π°ΡΠΈΡΠ° ΠΈΠΌΠ°Π°Ρ ΠΏΠΎΡΡΠΎΡΡΠ²Π°ΡΠΊΠ° Π½Π° Π±Π°ΠΊΠ°Ρ ΠΏΠΎ Π³Π»Π°Π²Π° Π½Π° ΠΆΠΈΡΠ΅Π» Π½Π° 29,2 ΠΈ 66,7 ΠΊΠΈΠ»ΠΎΠ³ΡΠ°ΠΌΠΈ. ΠΠ°ΡΠΈΡΠ°ΡΠΈΠΈΡΠ΅ Π²ΠΎ ΡΡΠ°Π½Π΄Π°ΡΠ΄ΠΎΡ Π½Π° ΠΆΠΈΠ²Π΅Π΅ΡΠ΅ Π±ΠΈ ΠΌΠΎΠΆΠ΅Π»ΠΎ Π΄Π° Π²Π»ΠΈΡΠ°Π°Ρ Π²ΡΠ· ΠΈΠ΄Π½Π°ΡΠ° ΠΏΠΎΠ±Π°ΡΡΠ²Π°ΡΠΊΠ° Π½Π° ΠΌΠΈΠ½Π΅ΡΠ°Π»Π½ΠΈ ΡΠ΅ΡΡΡΡΠΈ ΠΏΠΎΠ²Π΅ΡΠ΅ ΠΎΠ΄ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ΡΠΎ. ΠΠΎ Π³Π»Π°Π²Π° Π½Π° ΠΆΠΈΡΠ΅Π» ΠΏΠΎΡΡΠΎΡΡΠ²Π°ΡΠΊΠ°ΡΠ° Π½Π° ΠΌΠΈΠ½Π΅ΡΠ°Π»ΠΈ ΡΠ΅ Π·Π³ΠΎΠ»Π΅ΠΌΡΠ²Π° Π²ΠΎ ΡΠ΅ΡΠΈΡΠΈ ΡΠΈΡΠ΅ ΠΎΠ±Π»Π°ΡΡΠΈ Π²ΠΎ ΡΠ΅ΠΊΠΎΡ Π½Π° ΠΌΠΈΠ½Π°ΡΠΈΠΎΡ Π²Π΅ΠΊ, Π΄ΠΎΠ΄Π΅ΠΊΠ° Π°Π·ΠΈΡΠΊΠΈΡΠ΅ Π·Π΅ΠΌΡΠΈ ΡΠ΅ Π²ΠΎ ΡΠ°Π·Π²ΠΎΡ ΠΈ ΠΈΠΌΠ°Π°Ρ ΠΏΠΎΠΊΠ°ΠΆΠ°Π½ΠΎ ΠΎΡΠΎΠ±Π΅Π½ΠΎ ΠΈΠΌΠΏΡΠ΅ΡΠΈΠ²Π΅Π½ ΡΠ°ΡΡ Π²ΠΎ ΡΠ΅ΠΊΠΎΡ Π½Π° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΡΠ΅ Π½Π΅ΠΊΠΎΠ»ΠΊΡ Π΄Π΅ΡΠ΅Π½ΠΈΠΈ. Π Π°ΡΡΠΎΡ Π½Π° ΠΏΠΎΡΡΠΎΡΡΠ²Π°ΡΠΊΠ°ΡΠ° Π½Π° Π±Π°ΠΊΠ°Ρ ΠΏΠΎ Π³Π»Π°Π²Π° Π½Π° ΠΆΠΈΡΠ΅Π» Π²ΠΎ ΠΎΠ²Π°Π° ΠΎΠ±Π»Π°ΡΡ ΡΠ΅ Π΄Π²ΠΈΠΆΠΈ ΠΎΠ΄ Π½ΠΈΡΠΊΠΎ Π½ΠΈΠ²ΠΎ ΠΎΠ΄ ΠΎΠΊΠΎΠ»Ρ 40% Π²ΠΎ ΠΠ½Π΄ΠΈΡΠ° Π½Π° Π²ΠΈΡΠΈΠ½Π° ΠΎΠ΄ ΠΎΠΊΠΎΠ»Ρ 82 %, Π²ΠΎ Π’Π°ΡΠ²Π°Π½ ΠΏΠΎΠΌΠ΅ΡΡ 1985 ΠΈ ΡΠ°ΠΌΠΎ Π²ΠΎ 1998 Π³ΠΎΠ΄ΠΈΠ½Π°. ΠΠΎ ΡΠ΅Π»ΠΈΠΎΡ ΡΠ²Π΅Ρ, ΠΈΠΌΠ° Π²ΠΊΡΠΏΠ΅Π½ ΠΏΠΎΡΠ°ΡΡ Π½Π° ΠΏΠΎΡΡΠΎΡΡΠ²Π°ΡΠΊΠ°ΡΠ° Π½Π° Π±Π°ΠΊΠ°Ρ ΠΏΠΎ Π³Π»Π°Π²Π° Π½Π° ΠΆΠΈΡΠ΅Π» ΠΎΠ΄ ΠΎΠΊΠΎΠ»Ρ 11 % Π²ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΎΡ ΠΌΠ΅ΡΡ 1985 ΠΈ 1998 Π³ΠΎΠ΄ΠΈΠ½Π°, Π° 13 % Π²ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΎΡ 1971-1998, ΠΈΠ»ΠΈ ΠΎΠΊΠΎΠ»Ρ 0,5 % Π³ΠΎΠ΄ΠΈΡΠ½ΠΎ.
ΠΠΊΠΎ ΠΌΠΈΠ½Π΅ΡΠ°Π»Π½Π°ΡΠ° ΠΏΠΎΠ±Π°ΡΡΠ²Π°ΡΠΊΠ° ΡΠ΅ Π·Π³ΠΎΠ»Π΅ΠΌΡΠ²Π° Π½Π° Π³ΠΎΠ΄ΠΈΡΠ½ΠΎ Π½ΠΈΠ²ΠΎ ΠΎΠ΄ 1,5%, ΡΠ°Π° ΡΠ΅ Π±ΠΈΠ΄Π΅ ΠΎΠΊΠΎΠ»Ρ 60 % ΠΏΠΎΠ²ΠΈΡΠΎΠΊΠ° ΠΎΡΠΊΠΎΠ»ΠΊΡ Π΄Π΅Π½Π΅Ρ, ΡΠ΅ Π΄ΠΎ 2050-ΡΠ° Π³ΠΎΠ΄ΠΈΠ½Π°.
ΠΡΠΈΠ΄ΠΎΠ½Π΅ΡΠΎΡ Π½Π° ΠΈΡΡΡΠ°ΠΆΡΠ²Π°ΡΠ΅ΡΠΎ Π½Π° ΠΌΠΈΠ½Π΅ΡΠ°Π»Π½ΠΈΡΠ΅ ΡΡΡΠΎΠ²ΠΈΠ½ΠΈ ΠΈ ΡΡΠ΄Π°ΡΡΡΠ²ΠΎΡΠΎ Π·Π° ΠΎΠ΄ΡΠΆΠ»ΠΈΠ² ΡΠ°Π·Π²ΠΎΡ ΡΡΠ΅Π±Π° Π΄Π° ΡΠ΅ Π³Π»Π΅Π΄Π° Π²ΠΎ ΠΎΠ΄Π½ΠΎΡ Π½Π° Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠ°ΡΠ° ΠΈ ΡΠ΅Ρ
Π½ΠΈΡΠΊΠ°ΡΠ° ΠΎΠΏΡΠ°Π²Π΄Π°Π½ΠΎΡΡ, Π΅ΠΊΠΎΠ»ΠΎΡΠΊΠ°ΡΠ° ΠΎΠ΄ΡΠΆΠ»ΠΈΠ²ΠΎΡΡ ΠΈ ΡΠΎΡΠΈΡΠ°Π»Π½Π° ΠΏΡΠ°Π²Π΄Π°.
ΠΠ΄ΡΠΆΠ»ΠΈΠ²ΠΎΡΠΎ ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ΅ Π½Π° ΠΏΡΠΈΡΠΎΠ΄Π½ΠΈΡΠ΅ ΡΠ΅ΡΡΡΡΠΈ ΠΈ Π±Π°ΡΠ°ΡΠ΅ Π½Π° ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π½ΠΈ ΠΎΠ±Π»Π°ΡΡΠΈ Π·Π° ΠΈΡΡΡΠ°ΠΆΡΠ²Π°ΡΠ΅ ΡΠ΅ ΠΎΡΠ΅Π½ΡΠ²Π°Π°Ρ Π²ΠΎ ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡ Π½Π° ΠΏΠΎΡΡΠΎΡΠ½ΠΈΡΠ΅ ΠΈ Π°Π»ΡΠ΅ΡΠ½Π°ΡΠΈΠ²Π½ΠΈΡΠ΅ Π½Π°ΡΠΈΠ½ΠΈ Π½Π° ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ΅ Π½Π° Π·Π΅ΠΌΡΠΈΡΡΠ΅ΡΠΎ, ΠΈΠ½ΡΠ΅Π³ΡΠΈΡΠ°ΡΠ΅ Π½Π° ΡΠΎΡΠΈΡΠ°Π»Π½ΠΈΡΠ΅, Π΅ΠΊΠΎΠ»ΠΎΡΠΊΠΈΡΠ΅, ΠΊΡΠ»ΡΡΡΠ½ΠΈΡΠ΅ ΠΈ Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΈΡΠ΅ ΡΠ°ΠΊΡΠΎΡΠΈ. ΠΠ½ΡΠ΅Π³ΡΠΈΡΠ°Π½ΠΈΠΎΡ ΠΏΡΠΈΡΡΠ°ΠΏ, ΠΊΠΎΡ ΠΏΠΎΠ²ΠΈΠΊΡΠ²Π° Π½Π° ΡΡΡΠ°ΡΠ΅ΡΠΊΠΈ ΠΈ ΠΏΠ°ΡΡΠΈΡΠΈΠΏΠ°ΡΠΈΠ²Π΅Π½ ΠΏΡΠΎΡΠ΅Ρ Π½Π° Π°Π½Π°Π»ΠΈΠ·Π°, Π΄Π΅Π±Π°ΡΠ°, Π·Π°ΡΠ°ΠΊΠ½ΡΠ²Π°ΡΠ΅ Π½Π° ΠΊΠ°ΠΏΠ°ΡΠΈΡΠ΅ΡΠΈΡΠ΅, ΠΏΠ»Π°Π½ΠΈΡΠ°ΡΠ΅ ΠΈ Π°ΠΊΡΠΈΡΠ°, ΡΠΎ Π²ΠΊΠ»ΡΡΡΠ²Π°ΡΠ΅ Π½Π° ΡΠΈΡΠ΅ Π·Π°ΡΠ΅Π³Π½Π°ΡΠΈ ΡΡΡΠ°Π½ΠΈ - Π²ΠΊΠ»ΡΡΡΠ²Π°ΡΡΠΈ Π³ΠΈ ΠΈ Π»ΠΎΠΊΠ°Π»Π½ΠΈΡΠ΅ Π·Π°Π΅Π΄Π½ΠΈΡΠΈ, Π΅ Π΅Π΄ΠΈΠ½ΡΡΠ²Π΅Π½ΠΈΠΎΡ Π½Π°ΡΠΈΠ½ Π΄Π° ΡΠ΅ ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠ° Π΅ΠΊΡΠΏΠ»ΠΎΠ°ΡΠ°ΡΠΈΡΠ°ΡΠ° Π½Π° ΠΌΠΈΠ½Π΅ΡΠ°Π»Π½ΠΈ ΡΡΡΠΎΠ²ΠΈΠ½ΠΈ ΠΈ ΠΎΠ΄ΡΠΆΠ»ΠΈΠ²ΠΈΠΎΡ ΡΠ°Π·Π²ΠΎΡ, ΠΈ Π΄Π° ΡΠ΅ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΡΠ²Π°Π°Ρ ΠΈ ΠΈΠ·Π±Π΅Π³Π½Π°Ρ ΠΏΠΎΡΠ΅Π½ΡΠΈΡΠ°Π»Π½ΠΈΡΠ΅ ΠΊΠΎΠ½ΡΠ»ΠΈΠΊΡΠΈ Π²ΠΎ ΠΊΠΎΡΠΈΡΡΠ΅ΡΠ΅ΡΠΎ Π½Π° Π·Π΅ΠΌΡΠΈΡΡΠ΅ΡΠΎ. ΠΠ° ΡΠ΅ ΡΠ°Π·Π²ΠΈΠ΅ ΡΠ°ΠΊΠΎΠ² ΠΏΡΠΎΡΠ΅Ρ Π½Π° ΡΠ°ΡΠΈΠΎΠ½Π°Π»Π΅Π½ ΠΈ ΠΏΡΠ°Π²Π΅Π΄Π΅Π½ Π½Π°ΡΠΈΠ½ ΠΊΠΎΠ΅ Π½Π΅ΠΈΠ·Π±Π΅ΠΆΠ½ΠΎ Π±Π°ΡΠ° ΡΠΎΡΠ½ΠΈ Π±Π°Π·ΠΈ Π½Π° ΠΏΠΎΠ΄Π°ΡΠΎΡΠΈ Π·Π° ΡΠ°ΡΠΏΠΎΠ»Π°Π³Π°ΡΠ΅ ΡΠΎ ΠΌΠΈΠ½Π΅ΡΠ°Π»Π½ΠΈΡΠ΅ ΡΠ΅ΡΡΡΡΠΈ,
2
ΠΊΠ°ΠΊΠΎ ΠΈ ΡΡΠ°Π½ΡΠΏΠ°ΡΠ΅Π½ΡΠ΅Π½ ΠΈ ΠΎΡΠ²ΠΎΡΠ΅Π½ Π½Π°ΡΠΈΠ½ Π·Π° ΡΠΏΠΎΠ΄Π΅Π»ΡΠ²Π°ΡΠ΅ ΠΈ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½Π°ΡΠΈΡΠ° Π½Π° ΠΌΡΠ»ΡΠΈ-ΠΊΠΎΡΠΈΡΠ½ΠΈΡΠΊΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ.
ΠΠ΄ ΠΏΠΎΡΠ΅ΡΠΎΠΊΠΎΡ Π½Π° ΠΎΡΡΠΌΠ΄Π΅ΡΠ΅ΡΡΠΈΡΠ΅ Π³ΠΎΠ΄ΠΈΠ½ΠΈ, ΠΌΠ½ΠΎΠ³Ρ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ ΠΊΠΎΠΈ ΡΠ΅ Π·Π°Π½ΠΈΠΌΠ°Π²Π°Π°Ρ ΡΠΎ Π³Π΅ΠΎΠ»ΠΎΡΠΊΠΈ ΠΈΡΡΡΠ°ΠΆΡΠ²Π°ΡΠ° ΠΏΠΎΡΠ½Π°Π° Π΄Π° ΡΠ°Π·Π²ΠΈΠ²Π°Π°Ρ Π±Π°Π·ΠΈ Π½Π° ΠΏΠΎΠ΄Π°ΡΠΎΡΠΈ Π½Π° Π½Π°ΠΎΡΠ°Π»ΠΈΡΡΠ°ΡΠ°, ΠΈ Π΄Π΅Π½Π΅Ρ ΠΠΠ‘ ΠΈ Π΄ΠΈΠ³ΠΈΡΠ°Π»Π½Π°ΡΠ° ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° Π½Π° ΠΊΠ°ΡΡΠΈ ΠΊΠ°ΠΊΠΎ ΠΈ Π½ΠΈΠ²Π½ΠΎΡΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠ°ΡΠ΅ ΡΠ΅ Π½Π° ΠΏΡΠ²ΠΎ ΠΌΠ΅ΡΡΠΎ. Π£ΡΡΠ΅ ΠΏΠΎΠ²Π°ΠΆΠ½ΠΎ, ΡΠ΅ΠΏΠ°ΠΊ Π΅ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠ° Π΄Π° ΡΠ΅ ΡΠ°Π·ΠΌΠ΅Π½ΡΠ²Π°Π°Ρ ΠΏΠΎΠ΄Π°ΡΠΎΡΠΈ ΠΈ Π΄Π° ΡΠ΅ ΠΈΠ½ΡΠ΅Π³ΡΠΈΡΠ° ΠΏΠΎΠ²Π΅ΡΠ΅ ΠΈΠ»ΠΈ ΠΏΠΎΠΌΠ°Π»ΠΊΡ ΡΠΎ Π΄ΡΡΠ³ΠΈ Π±Π°Π·ΠΈ Π½Π° ΠΏΠΎΠ΄Π°ΡΠΎΡΠΈ, ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠ° Π΄Π° ΡΠ΅ ΠΏΡΠ΅Π±Π°ΡΡΠ²Π° ΠΈ ΠΌΠ°Π½ΠΈΠΏΡΠ»ΠΈΡΠ° ΡΠΎ Π±Π°Π·Π°ΡΠ° Π½Π° ΠΏΠΎΠ΄Π°ΡΠΎΡΠΈ ΠΈ Π΄Π° ΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π°Ρ ΠΊΠ°ΡΡΠΈ ΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΊΠΎΠΈ ΡΠ΅ ΠΎΡΠ½ΠΎΠ²Π° Π½Π° ΠΌΠ½ΠΎΠ³Ρ ΠΈΡΡΡΠ°ΠΆΠ½ΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠΈ.
Π¦Π΅Π»ΡΠ° Π½Π° ΠΎΠ²ΠΎΡ ΠΌΠ°Π³ΠΈΡΡΠ°ΡΡΠΊΠΈ ΡΡΡΠ΄ Π΅ Π΄Π° ΡΠ΅ Π½Π°ΠΏΡΠ°Π²ΠΈ ΡΠΈΠ½ΡΠ΅Π·Π° Π½Π° ΡΠ΅Π·Π»ΡΡΠ°ΡΠΈΡΠ΅ ΠΎΠ΄ ΠΈΡΡΡΠ°ΠΆΡΠ²Π°ΡΠ΅ΡΠΎ Π½Π° Π½Π°ΠΎΡΠ°Π»ΠΈΡΡΠ΅ΡΠΎ Π·Π° Π±Π°ΠΊΠ°Ρ ΠΠ°Π·Π°Π½Π΄ΠΎΠ», ΡΠΎ ΠΏΠΎΡΠ΅Π±Π΅Π½ ΠΎΡΠ²ΡΡ Π½Π° ΡΠΎΡΠΌΠΈΡΠ°ΡΠ΅ΡΠΎ Π½Π° Π±Π°Π·Π° Π½Π° ΠΏΠΎΠ΄Π°ΡΠΎΡΠΈ ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΡΠ° Π½Π° ΠΈΡΡΠΈΡΠ΅ ΠΊΠΎΠΈ ΡΠ΅ Π΄Π°Π΄Π°Ρ ΠΏΡΠΈΠ΄ΠΎΠ½Π΅Ρ Π²ΠΎ ΠΏΠΎΠ½Π°ΡΠ°ΠΌΠΎΡΠ½ΠΈΠΎΡ ΡΠ΅ΠΊ Π½Π° ΠΈΡΡΡΠ°ΠΆΡΠ²Π°ΡΠ΅ΡΠΎ.
Π‘ΠΎ ΠΎΠ²ΠΎΡ ΠΌΠ°Π³ΠΈΡΡΠ°ΡΡΠΊΠΈ ΡΡΡΠ΄ ΡΠ΅ Π±ΠΈΠ΄Π΅ ΠΎΠΏΡΠ°ΡΠ΅Π½Π° Π΅Π΄Π½Π° Π΄ΠΎΡΡΠ° ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Π° ΡΠ΅ΠΌΠ° Π½Π° ΡΠΈΠ½ΡΠ΅Π·Π° Π½Π° ΠΏΠΎΠ΄Π°ΡΠΎΡΠΈΡΠ΅ ΠΎΠ΄ ΡΠ°Π·Π»ΠΈΡΠ½ΠΈΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈ Π½Π° ΠΈΡΡΡΠ°ΠΆΡΠ²Π°ΡΠ΅ ΠΊΠΎΠΈ Π±Π΅Π° ΠΏΡΠΈΠΌΠ΅Π½Π΅ΡΠΈ Π½Π° ΡΠ΅ΡΠ΅Π½ΠΎΡ Π·Π° ΡΠ΅ΡΠ°Π²Π°ΡΠ΅ Π½Π° Π½ΠΈΠ·Π° ΠΏΡΠ°ΡΠ°ΡΠ° ΠΊΠΎΠΈ Π±Π΅Π° ΠΏΠΎΡΡΠ°Π²Π΅Π½ΠΈ ΠΏΡΠ΅Π΄ ΠΏΠΎΡΠ΅ΡΠΎΠΊΠΎΡ Π½Π° ΠΈΡΡΡΠ°ΠΆΡΠ²Π°ΡΠ΅ΡΠΎ
Geochemical study and 3D modelling of the Kazan Dol copper deposit, Republic of Macedonia
The latest explorations and study of the Kazan Dol locality displayed interesting lithogeochemistry
and soil geochemistry results. Very indicative were copper contents of up to 9942 ppm Cu, zinc up to 1235 ppm
Zn, lead up to 5501 ppm Pb, molybdenum up to 24 ppm Mo, etc. These anomalous zones were direct product of copper
vein mineralizations in oxidation zones, which have been confirmed with later exploration drill holes. In some individual
samples, from trenches and drill holes, copper content reached up to 4% Cu while the more common content
is around 0.4% Cu. More than 27 drill holes were chosen for the construction of the 3D model of the Kazan Dol mineralized
area, Republic of Macedonia. With use of the professional software ArcGIS was prepared 3D model of the
deposit, which reflects the mineralization between level 340 and 180. This particular model should improve our understanding
of the copper bearing mineralizations in this area
RESOURCE MODELLING AT THE ILOVICA-Ε TUKA PORPHYRY COPPER-GOLD DEPOSIT, EASTERN MACEDONIA
The Ilovica-Ε tuka porphyry system is located in southeast Macedonia, within the Tertiary belt associated with tectonic accretion along the western Tethyan belt. The intrusive is about 1.5 km in diameter and comprises a dacite-granodiorite plug, emplaced along the northeastern border of the Strumica graben. Mineralization is typical porphyry style veining, most intense within the potassic zone. The mineralization shows good continuity and homogeneity that lends itself well to bulk-mining methods. Modelling and estimation has been completed using Geovia Surpac. Exploratory data analysis highlighted a number of statistically differentiated grade populations, which were interpreted to be controlled by the following: alteration style, lithology, oxidation state elevation and stockwork intensity. Statistical and grade continuity analyses were completed to characterize the mineralization and subsequently used to develop grade interpolation parameters. Grade estimation was completed using ordinary kriging. The search ellipsoid dimensions and orientations were chosen to reflect the continuity revealed by geostatistical studies and optimized using quantitative kriging neighbourhood analysis. The mineral resource was classified according to CIM Definition Standards on Mineral Resources and Mineral Reserves (CIM 2010).
Key words: Canadian Institute of Mining; Metallurgy and Petroleum (CIM) Definition Standards; EDA (exploratory data analysis); domaining; block model; ordinary kriging; kriging neighbourhood analysi
3D Modeling of some copper deposits in the Republic of Macedonia
This paper aims at presenting the 3D models of respective geological settings, deformation structures and
geochemical distributions, in terms of better understanding of the related ore-genetic processes and
exploration potential. Since the beginnings of mining industry the challenge of mineral exploration is to
approach new exploration targets. In that direction, 3D and 4D modelling are the new exploration tools that
can help the mineral explorers to visualise, interpolate and interpret geological data, which are critical timeand
money-saving methods. In this study 3D-models had been constructed for several Macedonian CuAu
polymetallic deposits Kadiica, Plavica, Kazan Dol and Borov Dol. Our 3D models were built by mapping
geochemical variations in the Move software by Midland Valley for Kadiica Cu-porphyry deposit and Borov
Dol Cu-Au porphyry deposit (gives the opportunity to the user to create slices of the 3D grid and take a
closer look to the spatial variation of an assay) as well as in Target 3D for ArcGIS system for Cu-Au high sulphidation epithermal Plavica deposit and Cu vein type deposit Kazan Dol