๐ArXiv AIโขStalecollected in 11h
Unsupervised ML Classifies Keta Basin Electrofacies
๐กML workflow for geoscience data scarcity: log-only electrofacies clustering beats core needs.
โก 30-Second TL;DR
What Changed
K-means clustering on 11,195 wireline log samples
Why It Matters
Offers reproducible ML tools for data-scarce frontier basins, bridging geoscience and ML for early formation evaluation.
What To Do Next
Apply K-means with silhouette analysis to your geophysical log datasets.
Who should care:Researchers & Academics
Key Points
- โขK-means clustering on 11,195 wireline log samples
- โขFour electrofacies identified with 0.50 silhouette score
- โขPatterns show shale-to-sandstone continuum via log space
- โขValidated by inertia and silhouette diagnostics
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Original source: ArXiv AI โ