Baker Hughes, a GE Company (BHGE) and C3.ai have launched BHC3 Reliability, an artificial intelligence (AI) software application developed by the BakerHughesC3.ai joint venture.
Officially unveiled during UNIFY2019, BHGE’s annual digital conference, BHC3 Reliability uses deep-learning predictive models, natural language processing and machine vision to continuously aggregate data from plant-wide sensor networks, enterprise systems, maintenance notes and piping and instrumentation schematics.
With the help of real-time and historical data from a system, the AI platform’s machine-learning models identify irregular conditions that cause equipment failure and process problems. The platform then alerts operators to set preventive measures in motion to avoid downtime.
BHC3 Reliability is suitable for a variety of applications across the energy landscape, such as compressor stations, onshore and offshore platforms, refineries and petrochemical plants. The AI platform, powered by the BHC3 AI Suite, draws on BHGE’s domain expertise by augmenting application alerts with failure prevention recommendations and prescriptive actions, BHGE said.
“This application is a demonstration of how the BakerHughesC3.ai team is moving with speed to address the need for AI applications that deliver increased productivity, efficiency, and safety for oil and gas businesses,” said Derek Mathieson, chief marketing and technology officer, BHGE. “BHC3 Reliability delivers the system-wide insights from data that is only possible with the use of AI and machine learning technology.”