This post shows how Databricks unifies siloed drilling data to deliver conversational AI analytics for oil and gas operations.
- •OSDU well logs, IoT streams, and ERP records are combined into a Medallion lakehouse (Bronze/Silver/Gold layers).
- •Genie Research Agent performs multi-step SQL analysis from natural language queries across the unified dataset.
- •Travis Peak formation's 6% heavier mud weight is identified as causing 50% of mud pump failures across 118 wells.
- •Recommended actions recover 64-91 days of fleet capacity and avoid $1.6-2.7M in NPT costs.
- •Ingestion uses REST API for OSDU, Auto Loader streaming for IoT, and Lakeflow connectors for ERP.
This summary was automatically generated by AI based on the original article and may not be fully accurate.