Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits

Ukraine is in 10 countries with the largest reserves of iron ores, and the iron ore industry and metallurgical complex are budgetary sectors economically important for the country. For now the mining and metallurgical complex is experiencing not the best of times, and experts say that Ukraine is not using its potential, as it should. One of the main steps in inventory calculation is the determination of boundary value. Boundary value is calculated on the basis of geological, economic, technological and social aspects. Using only geological information, you can calculate the most favorable boundary value using geostatistics. The main cut-off parameter that determines reserves quality of ferruginous quartzites, which require enrichment by magnetic separation, is iron associated with magnetite Femagn. The paper proposes a tool for choosing the optimal cut-off grade values for evaluating BIF deposits using the example one of the West Azov group deposit. Comparison of cut-off parameters for reserves calculation of iron ores within the Azov Group deposits is carried out. To find the optimal cut-off grade Femagn using geostatistics and spatial modeling, we analyzed the dynamics of changes in the amount of reserves from changes of cut-off grade Fe. Fluctuations in average Fe grade also were took into account. The paper substantiates the optimal cut-off grade values of Fe associated with magnetite in the range of 12–14 %. The interval of the largest changes in reserves quantity with an increase is fixed for range of 12–18 %. Beyond this interval there is a minimal fluctuation of ore reserves quantity as a result of cut-off grade’s changes. In order to find optimal cut-off grade values using geostatistics and spatial modeling, it is necessary to follow the dynamics of reserves’ quantity changes depend on Fe cut-off grade, as well as to take into account average Fe grade fluctuations when changing cut-off grade. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	O. S. Prokopenko [verfasserIn] M. M. Kurylo [verfasserIn] S. M. Kulyk [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Russisch ; Ukrainisch

Erschienen:	2020

Schlagwörter:	cut-off grade ferruginous quartzites wireframing model block modeling

Übergeordnetes Werk:	In: Мінеральні ресурси України - Ukrainian Geological Company (UGC), 2019, (2020), 1, Seite 12-14
Übergeordnetes Werk:	year:2020 ; number:1 ; pages:12-14

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.31996/mru.2020.1.12-14

Katalog-ID:	DOAJ003007642

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allfields	10.31996/mru.2020.1.12-14 doi (DE-627)DOAJ003007642 (DE-599)DOAJb911afec974641c2a75d8ad9a56b2672 DE-627 ger DE-627 rakwb eng rus ukr QE1-996.5 O. S. Prokopenko verfasserin aut Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ukraine is in 10 countries with the largest reserves of iron ores, and the iron ore industry and metallurgical complex are budgetary sectors economically important for the country. For now the mining and metallurgical complex is experiencing not the best of times, and experts say that Ukraine is not using its potential, as it should. One of the main steps in inventory calculation is the determination of boundary value. Boundary value is calculated on the basis of geological, economic, technological and social aspects. Using only geological information, you can calculate the most favorable boundary value using geostatistics. The main cut-off parameter that determines reserves quality of ferruginous quartzites, which require enrichment by magnetic separation, is iron associated with magnetite Femagn. The paper proposes a tool for choosing the optimal cut-off grade values for evaluating BIF deposits using the example one of the West Azov group deposit. Comparison of cut-off parameters for reserves calculation of iron ores within the Azov Group deposits is carried out. To find the optimal cut-off grade Femagn using geostatistics and spatial modeling, we analyzed the dynamics of changes in the amount of reserves from changes of cut-off grade Fe. Fluctuations in average Fe grade also were took into account. The paper substantiates the optimal cut-off grade values of Fe associated with magnetite in the range of 12–14 %. The interval of the largest changes in reserves quantity with an increase is fixed for range of 12–18 %. Beyond this interval there is a minimal fluctuation of ore reserves quantity as a result of cut-off grade’s changes. In order to find optimal cut-off grade values using geostatistics and spatial modeling, it is necessary to follow the dynamics of reserves’ quantity changes depend on Fe cut-off grade, as well as to take into account average Fe grade fluctuations when changing cut-off grade. cut-off grade ferruginous quartzites wireframing model block modeling Geology M. M. Kurylo verfasserin aut S. M. Kulyk verfasserin aut In Мінеральні ресурси України Ukrainian Geological Company (UGC), 2019 (2020), 1, Seite 12-14 (DE-627)1019728035 27078698 nnns year:2020 number:1 pages:12-14 https://doi.org/10.31996/mru.2020.1.12-14 kostenfrei https://doaj.org/article/b911afec974641c2a75d8ad9a56b2672 kostenfrei https://mru-journal.com.ua/index.php/mru/article/view/16 kostenfrei https://doaj.org/toc/1682-721X Journal toc kostenfrei https://doaj.org/toc/2707-8698 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2020 1 12-14
spelling	10.31996/mru.2020.1.12-14 doi (DE-627)DOAJ003007642 (DE-599)DOAJb911afec974641c2a75d8ad9a56b2672 DE-627 ger DE-627 rakwb eng rus ukr QE1-996.5 O. S. Prokopenko verfasserin aut Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ukraine is in 10 countries with the largest reserves of iron ores, and the iron ore industry and metallurgical complex are budgetary sectors economically important for the country. For now the mining and metallurgical complex is experiencing not the best of times, and experts say that Ukraine is not using its potential, as it should. One of the main steps in inventory calculation is the determination of boundary value. Boundary value is calculated on the basis of geological, economic, technological and social aspects. Using only geological information, you can calculate the most favorable boundary value using geostatistics. The main cut-off parameter that determines reserves quality of ferruginous quartzites, which require enrichment by magnetic separation, is iron associated with magnetite Femagn. The paper proposes a tool for choosing the optimal cut-off grade values for evaluating BIF deposits using the example one of the West Azov group deposit. Comparison of cut-off parameters for reserves calculation of iron ores within the Azov Group deposits is carried out. To find the optimal cut-off grade Femagn using geostatistics and spatial modeling, we analyzed the dynamics of changes in the amount of reserves from changes of cut-off grade Fe. Fluctuations in average Fe grade also were took into account. The paper substantiates the optimal cut-off grade values of Fe associated with magnetite in the range of 12–14 %. The interval of the largest changes in reserves quantity with an increase is fixed for range of 12–18 %. Beyond this interval there is a minimal fluctuation of ore reserves quantity as a result of cut-off grade’s changes. In order to find optimal cut-off grade values using geostatistics and spatial modeling, it is necessary to follow the dynamics of reserves’ quantity changes depend on Fe cut-off grade, as well as to take into account average Fe grade fluctuations when changing cut-off grade. cut-off grade ferruginous quartzites wireframing model block modeling Geology M. M. Kurylo verfasserin aut S. M. Kulyk verfasserin aut In Мінеральні ресурси України Ukrainian Geological Company (UGC), 2019 (2020), 1, Seite 12-14 (DE-627)1019728035 27078698 nnns year:2020 number:1 pages:12-14 https://doi.org/10.31996/mru.2020.1.12-14 kostenfrei https://doaj.org/article/b911afec974641c2a75d8ad9a56b2672 kostenfrei https://mru-journal.com.ua/index.php/mru/article/view/16 kostenfrei https://doaj.org/toc/1682-721X Journal toc kostenfrei https://doaj.org/toc/2707-8698 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2020 1 12-14
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allfieldsGer	10.31996/mru.2020.1.12-14 doi (DE-627)DOAJ003007642 (DE-599)DOAJb911afec974641c2a75d8ad9a56b2672 DE-627 ger DE-627 rakwb eng rus ukr QE1-996.5 O. S. Prokopenko verfasserin aut Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ukraine is in 10 countries with the largest reserves of iron ores, and the iron ore industry and metallurgical complex are budgetary sectors economically important for the country. For now the mining and metallurgical complex is experiencing not the best of times, and experts say that Ukraine is not using its potential, as it should. One of the main steps in inventory calculation is the determination of boundary value. Boundary value is calculated on the basis of geological, economic, technological and social aspects. Using only geological information, you can calculate the most favorable boundary value using geostatistics. The main cut-off parameter that determines reserves quality of ferruginous quartzites, which require enrichment by magnetic separation, is iron associated with magnetite Femagn. The paper proposes a tool for choosing the optimal cut-off grade values for evaluating BIF deposits using the example one of the West Azov group deposit. Comparison of cut-off parameters for reserves calculation of iron ores within the Azov Group deposits is carried out. To find the optimal cut-off grade Femagn using geostatistics and spatial modeling, we analyzed the dynamics of changes in the amount of reserves from changes of cut-off grade Fe. Fluctuations in average Fe grade also were took into account. The paper substantiates the optimal cut-off grade values of Fe associated with magnetite in the range of 12–14 %. The interval of the largest changes in reserves quantity with an increase is fixed for range of 12–18 %. Beyond this interval there is a minimal fluctuation of ore reserves quantity as a result of cut-off grade’s changes. In order to find optimal cut-off grade values using geostatistics and spatial modeling, it is necessary to follow the dynamics of reserves’ quantity changes depend on Fe cut-off grade, as well as to take into account average Fe grade fluctuations when changing cut-off grade. cut-off grade ferruginous quartzites wireframing model block modeling Geology M. M. Kurylo verfasserin aut S. M. Kulyk verfasserin aut In Мінеральні ресурси України Ukrainian Geological Company (UGC), 2019 (2020), 1, Seite 12-14 (DE-627)1019728035 27078698 nnns year:2020 number:1 pages:12-14 https://doi.org/10.31996/mru.2020.1.12-14 kostenfrei https://doaj.org/article/b911afec974641c2a75d8ad9a56b2672 kostenfrei https://mru-journal.com.ua/index.php/mru/article/view/16 kostenfrei https://doaj.org/toc/1682-721X Journal toc kostenfrei https://doaj.org/toc/2707-8698 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2020 1 12-14
allfieldsSound	10.31996/mru.2020.1.12-14 doi (DE-627)DOAJ003007642 (DE-599)DOAJb911afec974641c2a75d8ad9a56b2672 DE-627 ger DE-627 rakwb eng rus ukr QE1-996.5 O. S. Prokopenko verfasserin aut Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Ukraine is in 10 countries with the largest reserves of iron ores, and the iron ore industry and metallurgical complex are budgetary sectors economically important for the country. For now the mining and metallurgical complex is experiencing not the best of times, and experts say that Ukraine is not using its potential, as it should. One of the main steps in inventory calculation is the determination of boundary value. Boundary value is calculated on the basis of geological, economic, technological and social aspects. Using only geological information, you can calculate the most favorable boundary value using geostatistics. The main cut-off parameter that determines reserves quality of ferruginous quartzites, which require enrichment by magnetic separation, is iron associated with magnetite Femagn. The paper proposes a tool for choosing the optimal cut-off grade values for evaluating BIF deposits using the example one of the West Azov group deposit. Comparison of cut-off parameters for reserves calculation of iron ores within the Azov Group deposits is carried out. To find the optimal cut-off grade Femagn using geostatistics and spatial modeling, we analyzed the dynamics of changes in the amount of reserves from changes of cut-off grade Fe. Fluctuations in average Fe grade also were took into account. The paper substantiates the optimal cut-off grade values of Fe associated with magnetite in the range of 12–14 %. The interval of the largest changes in reserves quantity with an increase is fixed for range of 12–18 %. Beyond this interval there is a minimal fluctuation of ore reserves quantity as a result of cut-off grade’s changes. In order to find optimal cut-off grade values using geostatistics and spatial modeling, it is necessary to follow the dynamics of reserves’ quantity changes depend on Fe cut-off grade, as well as to take into account average Fe grade fluctuations when changing cut-off grade. cut-off grade ferruginous quartzites wireframing model block modeling Geology M. M. Kurylo verfasserin aut S. M. Kulyk verfasserin aut In Мінеральні ресурси України Ukrainian Geological Company (UGC), 2019 (2020), 1, Seite 12-14 (DE-627)1019728035 27078698 nnns year:2020 number:1 pages:12-14 https://doi.org/10.31996/mru.2020.1.12-14 kostenfrei https://doaj.org/article/b911afec974641c2a75d8ad9a56b2672 kostenfrei https://mru-journal.com.ua/index.php/mru/article/view/16 kostenfrei https://doaj.org/toc/1682-721X Journal toc kostenfrei https://doaj.org/toc/2707-8698 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2020 1 12-14
language	English Russian Ukrainian
source	In Мінеральні ресурси України (2020), 1, Seite 12-14 year:2020 number:1 pages:12-14
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spellingShingle	O. S. Prokopenko misc QE1-996.5 misc cut-off grade misc ferruginous quartzites misc wireframing model misc block modeling misc Geology Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits
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topic_title	QE1-996.5 Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits cut-off grade ferruginous quartzites wireframing model block modeling
topic	misc QE1-996.5 misc cut-off grade misc ferruginous quartzites misc wireframing model misc block modeling misc Geology
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title	Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits
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title_sort	determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits
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title_auth	Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits
abstract	Ukraine is in 10 countries with the largest reserves of iron ores, and the iron ore industry and metallurgical complex are budgetary sectors economically important for the country. For now the mining and metallurgical complex is experiencing not the best of times, and experts say that Ukraine is not using its potential, as it should. One of the main steps in inventory calculation is the determination of boundary value. Boundary value is calculated on the basis of geological, economic, technological and social aspects. Using only geological information, you can calculate the most favorable boundary value using geostatistics. The main cut-off parameter that determines reserves quality of ferruginous quartzites, which require enrichment by magnetic separation, is iron associated with magnetite Femagn. The paper proposes a tool for choosing the optimal cut-off grade values for evaluating BIF deposits using the example one of the West Azov group deposit. Comparison of cut-off parameters for reserves calculation of iron ores within the Azov Group deposits is carried out. To find the optimal cut-off grade Femagn using geostatistics and spatial modeling, we analyzed the dynamics of changes in the amount of reserves from changes of cut-off grade Fe. Fluctuations in average Fe grade also were took into account. The paper substantiates the optimal cut-off grade values of Fe associated with magnetite in the range of 12–14 %. The interval of the largest changes in reserves quantity with an increase is fixed for range of 12–18 %. Beyond this interval there is a minimal fluctuation of ore reserves quantity as a result of cut-off grade’s changes. In order to find optimal cut-off grade values using geostatistics and spatial modeling, it is necessary to follow the dynamics of reserves’ quantity changes depend on Fe cut-off grade, as well as to take into account average Fe grade fluctuations when changing cut-off grade.
abstractGer	Ukraine is in 10 countries with the largest reserves of iron ores, and the iron ore industry and metallurgical complex are budgetary sectors economically important for the country. For now the mining and metallurgical complex is experiencing not the best of times, and experts say that Ukraine is not using its potential, as it should. One of the main steps in inventory calculation is the determination of boundary value. Boundary value is calculated on the basis of geological, economic, technological and social aspects. Using only geological information, you can calculate the most favorable boundary value using geostatistics. The main cut-off parameter that determines reserves quality of ferruginous quartzites, which require enrichment by magnetic separation, is iron associated with magnetite Femagn. The paper proposes a tool for choosing the optimal cut-off grade values for evaluating BIF deposits using the example one of the West Azov group deposit. Comparison of cut-off parameters for reserves calculation of iron ores within the Azov Group deposits is carried out. To find the optimal cut-off grade Femagn using geostatistics and spatial modeling, we analyzed the dynamics of changes in the amount of reserves from changes of cut-off grade Fe. Fluctuations in average Fe grade also were took into account. The paper substantiates the optimal cut-off grade values of Fe associated with magnetite in the range of 12–14 %. The interval of the largest changes in reserves quantity with an increase is fixed for range of 12–18 %. Beyond this interval there is a minimal fluctuation of ore reserves quantity as a result of cut-off grade’s changes. In order to find optimal cut-off grade values using geostatistics and spatial modeling, it is necessary to follow the dynamics of reserves’ quantity changes depend on Fe cut-off grade, as well as to take into account average Fe grade fluctuations when changing cut-off grade.
abstract_unstemmed	Ukraine is in 10 countries with the largest reserves of iron ores, and the iron ore industry and metallurgical complex are budgetary sectors economically important for the country. For now the mining and metallurgical complex is experiencing not the best of times, and experts say that Ukraine is not using its potential, as it should. One of the main steps in inventory calculation is the determination of boundary value. Boundary value is calculated on the basis of geological, economic, technological and social aspects. Using only geological information, you can calculate the most favorable boundary value using geostatistics. The main cut-off parameter that determines reserves quality of ferruginous quartzites, which require enrichment by magnetic separation, is iron associated with magnetite Femagn. The paper proposes a tool for choosing the optimal cut-off grade values for evaluating BIF deposits using the example one of the West Azov group deposit. Comparison of cut-off parameters for reserves calculation of iron ores within the Azov Group deposits is carried out. To find the optimal cut-off grade Femagn using geostatistics and spatial modeling, we analyzed the dynamics of changes in the amount of reserves from changes of cut-off grade Fe. Fluctuations in average Fe grade also were took into account. The paper substantiates the optimal cut-off grade values of Fe associated with magnetite in the range of 12–14 %. The interval of the largest changes in reserves quantity with an increase is fixed for range of 12–18 %. Beyond this interval there is a minimal fluctuation of ore reserves quantity as a result of cut-off grade’s changes. In order to find optimal cut-off grade values using geostatistics and spatial modeling, it is necessary to follow the dynamics of reserves’ quantity changes depend on Fe cut-off grade, as well as to take into account average Fe grade fluctuations when changing cut-off grade.
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title_short	Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits
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Determination and choice of optimal cut-off grade value using 3d modeling on the example of domestic bif deposits

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