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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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 |