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Characterization of complex fluvio–deltaic deposits in Northeast China using multi-modal machine learning fusion

Due to the lack of petroleum resources, stratigraphic reservoirs have become an important source of future discoveries. We describe a methodology for predicting reservoir sands from complex reservoir seismic data. Data analysis involves a bio-integrated framework called multi-modal machine learning...

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Detalles Bibliográficos
Autores principales: Boateng, Cyril D., Fu, Li-Yun, Danuor, Sylvester K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414907/
https://www.ncbi.nlm.nih.gov/pubmed/32770135
http://dx.doi.org/10.1038/s41598-020-70382-7