Oil Major Lifts Production 8% with AI-Driven Optimization
Combining real-time production data, reservoir models, and AI on Azure to optimize choke settings and well performance across hundreds of wells.
Project Overview
The Challenge
Field engineers were making well optimization decisions based on incomplete, lagging data, leaving meaningful production volume on the table.
- 1Production data lagging operations by hours or days
- 2Manual choke optimization based on rules of thumb rather than data
- 3Limited ability to model interactions across well clusters
Our Solution
CloudGate built a unified production optimization platform on Microsoft Fabric, combining real-time SCADA data, reservoir models, and ML-driven recommendations.
- Real-time SCADA and well-test data ingestion onto OneLake
- ML-driven well performance recommendations with engineer-in-the-loop approval
- Production engineer copilot for query and scenario analysis
The Results
- Generated $40M+ in incremental annual revenue from the optimized fields
Technologies Used
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