This is like giving the oilfield a smart brain that constantly watches equipment, sensors, and operations and then tells engineers, “Here’s where you’re wasting time or money, and here’s how to fix it before something breaks.”
Reduces unplanned downtime, improves production efficiency, and lowers operating costs in oil and gas fields (e.g., the Permian) by using AI to analyze sensor and operational data to optimize how wells and equipment are run and maintained.
Proprietary operational and subsurface data from Chevron’s fields, plus embedded AI in existing workflows and control systems, create a data and process moat that is hard for non-operators or smaller competitors to replicate.
Hybrid
Time-Series DB
High (Custom Models/Infra)
Integration with diverse field hardware/SCADA systems and the volume/velocity of sensor data streaming from thousands of wells and facilities.
Early Majority
Positioned as a large operator’s in-house AI for field efficiency in a specific basin (Permian), leveraging scale, historical production data, and tight integration with operational technology rather than being a generic off-the-shelf analytics tool.