AI & Machine Learning
Award winners recognized
Oil & Gas Engineering announces the winners of the 2019 Product of the Year awards
Unused oil and gas emissions could power computing programs
Crusoe Energy Systems is deploying customized supercomputers into oil fields and using the excess gas to power energy intensive computing programs, such as blockchain processing, training AI models or machine learning (ML).
Digital twins, engineering future of automation
Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization.
The orchestration that precedes analysis
The DDDP Conference carried the tagline had an emphasis on cloud and edge technologies meeting the oil & gas industry.
The network the oil & gas industry needs
The case for private wireless, mission-critical communications networks.
How pipeline engineering gets done today
Integrated data, automated workflow and management by exception.
Embedded vision for industrial inspection purposes
Embedded vision systems can help businesses improve on the current standards set by manual inspection procedures.
Report finds cybersecurity basics still not being practiced by companies
A report from Applied Risk found that cybersecurity basics are still not being practiced by many companies, which is increasing their risk for potential attacks as untested technologies continue proliferating critical infrastructures.
Three reasons why implementing AI in the oil & gas industry is essential
Artificial intelligence (AI) might not seem critical for the oil & gas industry, but it can improve safety and efficiency for companies on a critical and even basic level.
Tackling marine AI applications
Topaz Energy and Marine signed a long-term agreement and placed an order with Baker Hughes to collaborate on deploying BHGE’s lubricant condition monitoring system.