Unsupervised Electrofacies Classification and Porosity Characterization in the Offshore Keta Basin Using Wireline Logs

1. 1Collect wireline logs from offshore wells
2. 2Apply K-means clustering in multivariate log space
3. 3Evaluate clustering structure using inertia and silhouette diagnostics
4. 4Identify and interpret clusters as electrofacies
5. 5Characterize porosity using wireline log data and clustering results

Geologists and data scientists working in offshore basin analysis can benefit from this workflow to identify electrofacies and characterize porosity without relying on scarce core data

💡 Unsupervised machine learning can effectively identify electrofacies and characterize porosity in offshore basins using wireline logs

🌊 Unsupervised ML for electrofacies classification & porosity characterization in offshore basins! 📊