Editorial: Advanced methods in signal processing, image processing and pattern recognition in geosciences
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Archivos
Fecha
2023-01
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Frontiers Media S.A.
Nombre de Curso
Licencia CC
CC BY 4.0 Attribution 4.0 International Deed
https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/
Licencia CC
Resumen
Lately, 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.
Notas
Indexación: Scopus.
Palabras clave
Machine Learning (ML), Mineral Exploration, Mining Engineering, Petroleum Exploration, Seismology
Citación
Frontiers in Earth Science. Volume 10. 6 January 2023. Article number 1122268
DOI
10.3389/feart.2022.1122268