Supporting data for a waterflood-front-aware partitioned graph neural network surrogate for reservoir saturation and remaining-oil prediction

Published: 6 September 2026| Version 1 | DOI: 10.17632/6mbghc2rjm.1
Contributor:
zhen zhao

Description

adds complete 18-date temporal-holdout metrics, temporal and capacity-matched baselines, front-identification sensitivity results, and derived remaining-oil volume metrics. Field-scale spatial prediction arrays and proprietary reservoir data are not included because of confidentiality and data-ownership restrictions.

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Petroleum Engineering

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