Oilfield services company Baker Hughes and artificial intelligence (AI) software provider C3.ai have launched an AI-based application that allows well operators to view real-time production data and more accurately predict future production.

The application, BHC3 Production Optimization, is the second AI software application developed by Baker Hughes and C3.ai following the announcement of their strategic partnership in June 2019.

BHC3 Production Optimization is available to Baker Hughes’ oil and gas customers globally. Baker Hughes says it is able to visualise, analyse and optimise upstream oil and gas operations.

The software analyses historical and real-time data across production operations then analyses the data using machine learning for anomaly detection, production forecasting, and prescriptive actions that improve production performance.

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Baker Hughes Chief Marketing and Technology Officer Derek Mathieson said in a statement: “BHC3 Production Optimization delivers the data visibility and optimization capabilities that are critical for upstream businesses to meet production targets during a time of growing energy demand.

“Releasing this application is part of a continued commitment from Baker Hughes and C3.ai to help the energy industry improve productivity and efficiency with enterprise-scale AI applications.”

Baker Hughes says the software’s 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.”

The application can also generate predictions and prescribed actions that are easier to interpret; for example, engineers are able to pinpoint which injection wells to tune for a higher production output.

“The energy industry is at an inflection point where companies globally are being challenged to make operations more efficient, safer, and more productive,” C3.ai president and chief technology officer Ed Abbo said in a statement.

“To do this, they will need to harness and analyse massive amounts of data for actionable insights.”