Editorial: Advanced methods in signal processing, image processing and pattern recognition in geosciences

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dc.contributor.authorGaci, Said
dc.contributor.authorNicolis, Orietta
dc.contributor.authorFarfour, Mohammed
dc.date.accessioned2024-09-04T14:21:12Z
dc.date.available2024-09-04T14:21:12Z
dc.date.issued2023-01
dc.descriptionIndexación: Scopus.
dc.description.abstractLately, applications of signal processing, image processing, and pattern recognition have been widely introduced in geosciences, such as in the context of natural resources exploration, either petroleum or mineral, and engineering geology (Gaci and Hachay, 2014; Gaci and Hachay, 2017; Gaci et al., 2021). New methods and algorithms have been implemented to discover additional features in different research areas. In petroleum exploration, time-frequency decomposition techniques have been widely applied. The variational mode decomposition was used to detect gas affected by a coal layer in a tight sandstone reservoir located in the Ordos Basin, China. In addition, the multivariate variational mode decomposition was used to accurately estimate the absorption gradient coefficient from data acquired in the Puguang gas field, China.
dc.description.urihttps://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2022.1122268/full
dc.identifier.citationFrontiers in Earth Science. Volume 10. 6 January 2023. Article number 1122268
dc.identifier.doi10.3389/feart.2022.1122268
dc.identifier.issn2296-6463
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/59780
dc.language.isoen
dc.publisherFrontiers Media S.A.
dc.rights.licenseCC BY 4.0 Attribution 4.0 International Deed
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/
dc.subjectMachine Learning (ML)
dc.subjectMineral Exploration
dc.subjectMining Engineering
dc.subjectPetroleum Exploration
dc.subjectSeismology
dc.titleEditorial: Advanced methods in signal processing, image processing and pattern recognition in geosciences
dc.typeArtículo
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