Baker Hughes and C3.ai recently announced the launch of BHC3 Production Optimization, an AI-based application that allows well operators to view real-time production data, better project future production, and help optimize operations for improved oil and gas production rates.
The application is now available to global oil and gas customers. The application uses machine learning algorithms to quickly aggregate historical and real-time data across production operations and creates a comprehensive view of production from individual and multiple wells to the pipeline, distribution, and point-of-sale. The application then applies machine learning to the data for anomaly detection, production forecasting, and prescriptive actions that improve production performance.
BHC3 Production Optimization enables more precise decision-making to optimize the right level of production to meet business goals and energy demands. Advanced machine learning models create a continuous, near real-time and accurate virtual representation of production operations by generating flow rate, pressure and temperature predictions of hydrocarbon production and flow across wells, pipelines, and network assets. Additionally, the application uses a hybrid approach that draws on physics-based and data-driven AI models to generate predictions and prescribed actions that are accurate and easier to interpret.
Image credit: Baker Hughes and C3.ai