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3D/4D Geological Modeling for Mineral Exploration

dc.contributor.editorWang, Gongwen
dc.contributor.editorCheng, Lizhen
dc.contributor.editorLi, Nan
dc.contributor.editorHou, Weisheng
dc.date.accessioned2023-06-23T09:48:23Z
dc.date.available2023-06-23T09:48:23Z
dc.date.issued2023
dc.identifierONIX_20230623_9783036574363_90
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/100858
dc.description.abstractWith 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::R Earth Sciences, Geography, Environment, Planningen_US
dc.subject.otherGIS
dc.subject.othermultivariate geoscience datasets
dc.subject.otherRBFLN
dc.subject.othermetallogenic prospective area
dc.subject.other3D structural modeling (3D SM)
dc.subject.other3D fault system models (FSMs)
dc.subject.otherseismic attribute models
dc.subject.otherreservoir properties
dc.subject.otherfacies
dc.subject.otherhydrocarbon-bearing zones
dc.subject.otheroxidation of molybdenite
dc.subject.otherore-forming process
dc.subject.other3D multi-parameter geological modeling
dc.subject.othermicroanalysis
dc.subject.otherShangfanggou
dc.subject.othercontinental red beds
dc.subject.otherhematite
dc.subject.othersecondary reduction zone
dc.subject.otherDanxia landform
dc.subject.otherdeep prospecting
dc.subject.other3D metallogenic prediction
dc.subject.othercharacteristic variables
dc.subject.otherstepped metallogenic model
dc.subject.otherresource potential
dc.subject.otherJiaodong Peninsula
dc.subject.othergeological modeling
dc.subject.otherorebody modeling
dc.subject.othercoons surface interpolation
dc.subject.othercontour interpolation
dc.subject.otherpolygon triangulation
dc.subject.other3D mineral prospectivity modeling
dc.subject.otherrandom forest
dc.subject.otherlogistic regression
dc.subject.otherXuancheng–Magushan area
dc.subject.other3D geological modeling
dc.subject.other3D ore-body modeling
dc.subject.otherspectral interpretation and 3D modeling
dc.subject.othermineral exploration and deep targeting
dc.subject.otherZhaoxian gold deposit
dc.subject.otherindependent component analysis
dc.subject.other3D modeling
dc.subject.otherspectral feature subset selection
dc.subject.other3D mineral prospectivity mapping
dc.subject.otherquantitative mineral resources prediction model
dc.subject.othermaximum entropy model
dc.subject.otherGaussian mixture model
dc.subject.otherZaozigou gold deposit
dc.subject.othergeological and geochemical quantitative prediction model at depth
dc.subject.otherDeep auto-encoder network
dc.subject.otherStudent Teacher Ore-induced Anomaly Detection
dc.subject.othern/a
dc.title3D/4D Geological Modeling for Mineral Exploration
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-7437-0
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036574363
oapen.relation.isbn9783036574370
oapen.pages242
oapen.place.publicationBasel


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