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GENETIC SYSTEMATICS OF MINERAL DEPOSITS AS THEORETICAL BASIS OF MINING PROJECTS
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R. Iblaminov
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1314-2704
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English
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20
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1.1
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The updated genetic classification of mineral deposits as natural objects, whose origin is ambiguous, is presented. The classification is based on the petrological and lithological principles, which makes it universal. The conditions for the formation of endogenic, exogenic, and metamorphogenic deposits are considered. Endogenous objects are divided into three groups: magmatic, metasomatic and hydrothermal. Sedimentogenetic, diagenetic, and catagenetic rows are distinguished among the exogenous deposits. Metamorphogenic deposits contain dynamothermal, regional metasomatic and migmatite classes, as well as thermal, dislocation, and impact metamorphism ones. The examples of typical mineral resources are given.
The modeling methodology is used, static models are analyzed that reflect the state of the objects at the time of the study, and based on the results of exploration. Genetic models of deposits have been built, based on these topics, and taking into account modern data. Genetic retrospective models reflect the history of the processes that led to the deposit formation. They characterize the morphology, mineral, and chemical composition of the mineral resources bodies, the occurrence conditions, the features of the surrounding rocks. This allows using the special models in the preparation of promising mining projects. |
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conference
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20th International Multidisciplinary Scientific GeoConference SGEM 2020
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20th International Multidisciplinary Scientific GeoConference SGEM 2020, 18 - 24 August, 2020
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
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103-110
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18 - 24 August, 2020
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website
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cdrom
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6823
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mineral deposits; classification; genetic models
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