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Uncertainty evaluation and model optimization in multi-source reservoir modeling

Abstract The incompleteness of data and the variability in research methodologies can lead to significant uncertainties in reservoir modeling predictions. Effectively reducing and assessing these uncertainties are central issues in reservoir modeling studies. This research takes the ultra-low permea...

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Bibliografiske detaljer
Principais autores: Pingshan Ma, Chengyan Lin, Haocheng liu, Shaohua Li, Shun Wang
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-05-01
Serier:Scientific Reports
Fag:
Online adgang:https://doi.org/10.1038/s41598-025-04185-z
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