Joint Venture Targets Asset Reliability for Oil and Gas Value Chain

Sept. 12, 2019
The joint venture launched in June by Baker Hughes and artificial intelligence specialist C3 has released its first product, BHC3 Reliability, a software application focused on predictive maintenance in oil and gas.

Just a few months after the launch of a joint venture designed to bring fullstream oil and gas domain knowledge together with artificial intelligence (AI), Baker Hughes, a GE company (BHGE) and have released their first joint product. BHC3 Reliability, an AI software application, uses deep learning predictive models, natural language processing, and machine vision to predict asset reliability issues.

The joint venture unveiled the new offering today in Monaco at BHGE’s Unify2019, a technology conference geared toward bringing together digital ecosystem players in oil and gas. Although the joint venture ultimately looks to use advanced AI to improve efficiencies and advance safety in oil and gas, this first product release is going after what has become a key early endeavor for AI—predictive maintenance. It continuously aggregates data from plant-wide sensor networks, enterprise systems, maintenance notes, and piping and instrumentation schematics, using historical and real-time data from entire systems to identify anomalous conditions that lead to equipment failure and process upsets.

“This application is a demonstration of how the 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 for BHGE.

Application alerts help operators be more proactive to reduce downtime and lost revenue. The partnership between C3 and BHGE provides not only the AI capabilities but also BHGE’s oil and gas domain expertise by augmenting those alerts with failure prevention recommendations and prescriptive actions.

“Through our work together, we are uniquely positioned to deliver significant value to oil and gas companies by quickly deploying domain-specific advanced AI applications for diverse use cases across the energy value chain,” noted Ed Abbo, president and CTO of C3.

BHC3 Reliability is applicable to operations across all sectors of the energy value chain—scalable to any number of assets and processes across offshore and onshore platforms, compressor stations, refineries, and petrochemical plants.

The joint venture also markets and deploys C3’s AI technology, including the C3 AI Suite and applications, into oil and gas businesses. Shell, which is deploying C3’s platform across its upstream and downstream operations, has been a strong advocate of digital progress in general and AI technology in particular. “The combination of our data science expertise and the software development expertise that brings is really powerful,” commented Dan Jeavons, general manager of data science for Shell.

Read more about the work C3 is doing with AI in the energy sector:
AI and Unified Data Help Enel Manage Power Network

About the Author

Aaron Hand | Editor-in-Chief, ProFood World

Aaron Hand has three decades of experience in B-to-B publishing with a particular focus on technology. He has been with PMMI Media Group since 2013, much of that time as Executive Editor for Automation World, where he focused on continuous process industries. Prior to joining ProFood World full time in late 2020, Aaron worked as Editor at Large for PMMI Media Group, reporting for all publications on a wide variety of industry developments, including advancements in packaging for consumer products and pharmaceuticals, food and beverage processing, and industrial automation. He took over as Editor-in-Chief of ProFood World in 2021. Aaron holds a B.A. in Journalism from Indiana University and an M.S. in Journalism from the University of Illinois.

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