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As of snapshot 27745 under ledger-default@0.3.0.

ClaimTypeAssessmentScoreReview checksReferences
Embedding a well-log-based sweet-spot index as a geological prior in an attention-gated KG-SE-ResNet18 model improved reservoir-type classification accuracy from 86.95% to 89.28% in the Jiyuan Oilfield case study. QUANTITATIVE Supported 0.9734 1 of 4 118
In a 12-cored-well case study from the Chang 8 Member of China's Jiyuan Oilfield, an SE-ResNet18 well-log model achieved R² 0.86 and RMSE 0.287 mD for tight-sandstone permeability regression. QUANTITATIVE Supported 0.8581 1 of 4 108