Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia
Abstract We have developed an approach for automatic 3D geological mapping based on conversion of chemical composition of rocks to mineral composition by logical computation. It allows to calculate mineral composition based on bulk rock chemistry, interpolate the mineral composition in the same way...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2017-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-017-06972-9 |
| _version_ | 1818839753585328128 |
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| author | A. O. Kalashnikov G. Yu Ivanyuk J. A. Mikhailova V. A. Sokharev |
| author_facet | A. O. Kalashnikov G. Yu Ivanyuk J. A. Mikhailova V. A. Sokharev |
| author_sort | A. O. Kalashnikov |
| collection | DOAJ |
| description | Abstract We have developed an approach for automatic 3D geological mapping based on conversion of chemical composition of rocks to mineral composition by logical computation. It allows to calculate mineral composition based on bulk rock chemistry, interpolate the mineral composition in the same way as chemical composition, and, finally, build a 3D geological model. The approach was developed for the Kovdor phoscorite-carbonatite complex containing the Kovdor baddeleyite-apatite-magnetite deposit. We used 4 bulk rock chemistry analyses – Femagn, P2O5, CO2 and SiO2. We used four techniques for prediction of rock types – calculation of normative mineral compositions (norms), multiple regression, artificial neural network and developed by logical evaluation. The two latter became the best. As a result, we distinguished 14 types of phoscorites (forsterite-apatite-magnetite-carbonate rock), carbonatite and host rocks. The results show good convergence with our petrographical studies of the deposit, and recent manually built maps. The proposed approach can be used as a tool of a deposit genesis reconstruction and preliminary geometallurgical modelling. |
| first_indexed | 2024-12-19T03:59:18Z |
| format | Article |
| id | doaj.art-e1e00d0dc2a548a896f97e7d8a44e01a |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-19T03:59:18Z |
| publishDate | 2017-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-e1e00d0dc2a548a896f97e7d8a44e01a2022-12-21T20:36:45ZengNature PortfolioScientific Reports2045-23222017-07-017111310.1038/s41598-017-06972-9Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW RussiaA. O. Kalashnikov0G. Yu Ivanyuk1J. A. Mikhailova2V. A. Sokharev3Geological Institute of Kola Science Centre, Russian Academy of Sciences (GI KSC RAS)Geological Institute of Kola Science Centre, Russian Academy of Sciences (GI KSC RAS)Geological Institute of Kola Science Centre, Russian Academy of Sciences (GI KSC RAS)JSC “Kovdorskiy GOK”Abstract We have developed an approach for automatic 3D geological mapping based on conversion of chemical composition of rocks to mineral composition by logical computation. It allows to calculate mineral composition based on bulk rock chemistry, interpolate the mineral composition in the same way as chemical composition, and, finally, build a 3D geological model. The approach was developed for the Kovdor phoscorite-carbonatite complex containing the Kovdor baddeleyite-apatite-magnetite deposit. We used 4 bulk rock chemistry analyses – Femagn, P2O5, CO2 and SiO2. We used four techniques for prediction of rock types – calculation of normative mineral compositions (norms), multiple regression, artificial neural network and developed by logical evaluation. The two latter became the best. As a result, we distinguished 14 types of phoscorites (forsterite-apatite-magnetite-carbonate rock), carbonatite and host rocks. The results show good convergence with our petrographical studies of the deposit, and recent manually built maps. The proposed approach can be used as a tool of a deposit genesis reconstruction and preliminary geometallurgical modelling.https://doi.org/10.1038/s41598-017-06972-9 |
| spellingShingle | A. O. Kalashnikov G. Yu Ivanyuk J. A. Mikhailova V. A. Sokharev Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia Scientific Reports |
| title | Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia |
| title_full | Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia |
| title_fullStr | Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia |
| title_full_unstemmed | Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia |
| title_short | Approach of automatic 3D geological mapping: the case of the Kovdor phoscorite-carbonatite complex, NW Russia |
| title_sort | approach of automatic 3d geological mapping the case of the kovdor phoscorite carbonatite complex nw russia |
| url | https://doi.org/10.1038/s41598-017-06972-9 |
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