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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Bibliographic Details
Main Authors: Pingshan Ma, Chengyan Lin, Haocheng liu, Shaohua Li, Shun Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-04185-z
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