Powering Oilfield Intelligence
Transforms Data Warehousing with Azure Databricks
The Challenge
A global upstream oil & gas operator struggled with brittle, slow on-prem data systems that couldn’t handle massive sensor and drilling data.
- Frequent ETL failures and schema drifts
- No unified data model across SCADA and seismic platforms
- Weeks-long manual analysis for forecasting and maintenance
- Limited access for ML teams to clean, historical data
Our Approach
EliteSquad.ai modernized the client’s data ecosystem using Azure Databricks Lakehouse architecture.
- Unified structured & semi-structured data into Bronze, Silver, and Gold layers
- Enabled real-time streaming via Azure Event Hubs and curated Delta Lake tables
- Integrated Unity Catalog for governance and Power BI for executive dashboards
- Delivered ML-ready notebooks for predictive maintenance and optimization models
Key Outcomes
Real-time rig monitoring
and automated alerting across continents
Up to 85% faster analytics
and significant downtime reduction
Millions saved annually
from legacy decommissioning and efficiency gains
Empowered data scientists
and engineers with self-service analytics
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