3D/4D Geological Modeling for Mineral Exploration
With the development of high-precision geological observation technology, in situ mineral microanalysis technology, isotope geochemical analysis technology, deep geophysical exploration technology, deep drilling, real-time mining, remote sensing highresolution hyperspectral image technology, and sup...
में बचाया:
| स्वरूप: | Online |
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| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20230623_9783036574363_90 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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| _version_ | 1869513952524763136 |
|---|---|
| collection | Directory of Open Access Books |
| description | With the development of high-precision geological observation technology, in situ mineral microanalysis technology, isotope geochemical analysis technology, deep geophysical exploration technology, deep drilling, real-time mining, remote sensing highresolution hyperspectral image technology, and supercomputer and industrial intelligence, geoscience has entered an era of big data and artificial intelligence in the 21st century. Three-dimensional/four-dimensional (3D/4D) geoscience modeling with the multi-disciplinary intersection of geosciences has been used as the basis for mineral exploration and the extraction of geosciences information for mineral resource assessment. |
| format | Online |
| id | doab-20.500.12854ir-100858 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1008582024-03-28T03:31:30Z 3D/4D Geological Modeling for Mineral Exploration Wang, Gongwen Cheng, Lizhen Li, Nan Hou, Weisheng GIS multivariate geoscience datasets RBFLN metallogenic prospective area 3D structural modeling (3D SM) 3D fault system models (FSMs) seismic attribute models reservoir properties facies hydrocarbon-bearing zones oxidation of molybdenite ore-forming process 3D multi-parameter geological modeling microanalysis Shangfanggou continental red beds hematite secondary reduction zone Danxia landform deep prospecting 3D metallogenic prediction characteristic variables stepped metallogenic model resource potential Jiaodong Peninsula geological modeling orebody modeling coons surface interpolation contour interpolation polygon triangulation 3D mineral prospectivity modeling random forest logistic regression Xuancheng–Magushan area 3D geological modeling 3D ore-body modeling spectral interpretation and 3D modeling mineral exploration and deep targeting Zhaoxian gold deposit independent component analysis 3D modeling spectral feature subset selection 3D mineral prospectivity mapping quantitative mineral resources prediction model maximum entropy model Gaussian mixture model Zaozigou gold deposit geological and geochemical quantitative prediction model at depth Deep auto-encoder network Student Teacher Ore-induced Anomaly Detection n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning With the development of high-precision geological observation technology, in situ mineral microanalysis technology, isotope geochemical analysis technology, deep geophysical exploration technology, deep drilling, real-time mining, remote sensing highresolution hyperspectral image technology, and supercomputer and industrial intelligence, geoscience has entered an era of big data and artificial intelligence in the 21st century. Three-dimensional/four-dimensional (3D/4D) geoscience modeling with the multi-disciplinary intersection of geosciences has been used as the basis for mineral exploration and the extraction of geosciences information for mineral resource assessment. 2023-06-23T09:48:23Z 2023-06-23T09:48:23Z 2023 book ONIX_20230623_9783036574363_90 9783036574363 9783036574370 https://directory.doabooks.org/handle/20.500.12854/100858 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7321 https://mdpi.com/books/pdfview/book/7321 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7437-0 10.3390/books978-3-0365-7437-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036574363 9783036574370 242 Basel open access |
| spellingShingle | GIS multivariate geoscience datasets RBFLN metallogenic prospective area 3D structural modeling (3D SM) 3D fault system models (FSMs) seismic attribute models reservoir properties facies hydrocarbon-bearing zones oxidation of molybdenite ore-forming process 3D multi-parameter geological modeling microanalysis Shangfanggou continental red beds hematite secondary reduction zone Danxia landform deep prospecting 3D metallogenic prediction characteristic variables stepped metallogenic model resource potential Jiaodong Peninsula geological modeling orebody modeling coons surface interpolation contour interpolation polygon triangulation 3D mineral prospectivity modeling random forest logistic regression Xuancheng–Magushan area 3D geological modeling 3D ore-body modeling spectral interpretation and 3D modeling mineral exploration and deep targeting Zhaoxian gold deposit independent component analysis 3D modeling spectral feature subset selection 3D mineral prospectivity mapping quantitative mineral resources prediction model maximum entropy model Gaussian mixture model Zaozigou gold deposit geological and geochemical quantitative prediction model at depth Deep auto-encoder network Student Teacher Ore-induced Anomaly Detection n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning 3D/4D Geological Modeling for Mineral Exploration |
| title | 3D/4D Geological Modeling for Mineral Exploration |
| title_full | 3D/4D Geological Modeling for Mineral Exploration |
| title_fullStr | 3D/4D Geological Modeling for Mineral Exploration |
| title_full_unstemmed | 3D/4D Geological Modeling for Mineral Exploration |
| title_short | 3D/4D Geological Modeling for Mineral Exploration |
| title_sort | 3d 4d geological modeling for mineral exploration |
| topic | GIS multivariate geoscience datasets RBFLN metallogenic prospective area 3D structural modeling (3D SM) 3D fault system models (FSMs) seismic attribute models reservoir properties facies hydrocarbon-bearing zones oxidation of molybdenite ore-forming process 3D multi-parameter geological modeling microanalysis Shangfanggou continental red beds hematite secondary reduction zone Danxia landform deep prospecting 3D metallogenic prediction characteristic variables stepped metallogenic model resource potential Jiaodong Peninsula geological modeling orebody modeling coons surface interpolation contour interpolation polygon triangulation 3D mineral prospectivity modeling random forest logistic regression Xuancheng–Magushan area 3D geological modeling 3D ore-body modeling spectral interpretation and 3D modeling mineral exploration and deep targeting Zhaoxian gold deposit independent component analysis 3D modeling spectral feature subset selection 3D mineral prospectivity mapping quantitative mineral resources prediction model maximum entropy model Gaussian mixture model Zaozigou gold deposit geological and geochemical quantitative prediction model at depth Deep auto-encoder network Student Teacher Ore-induced Anomaly Detection n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning |
| topic_facet | GIS multivariate geoscience datasets RBFLN metallogenic prospective area 3D structural modeling (3D SM) 3D fault system models (FSMs) seismic attribute models reservoir properties facies hydrocarbon-bearing zones oxidation of molybdenite ore-forming process 3D multi-parameter geological modeling microanalysis Shangfanggou continental red beds hematite secondary reduction zone Danxia landform deep prospecting 3D metallogenic prediction characteristic variables stepped metallogenic model resource potential Jiaodong Peninsula geological modeling orebody modeling coons surface interpolation contour interpolation polygon triangulation 3D mineral prospectivity modeling random forest logistic regression Xuancheng–Magushan area 3D geological modeling 3D ore-body modeling spectral interpretation and 3D modeling mineral exploration and deep targeting Zhaoxian gold deposit independent component analysis 3D modeling spectral feature subset selection 3D mineral prospectivity mapping quantitative mineral resources prediction model maximum entropy model Gaussian mixture model Zaozigou gold deposit geological and geochemical quantitative prediction model at depth Deep auto-encoder network Student Teacher Ore-induced Anomaly Detection n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning |
| url | ONIX_20230623_9783036574363_90 |