AI & Machine Learning
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).
Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization.
The DDDP Conference carried the tagline had an emphasis on cloud and edge technologies meeting the oil & gas industry.
The case for private wireless, mission-critical communications networks.
Integrated data, automated workflow and management by exception.
Embedded vision systems can help businesses improve on the current standards set by manual inspection procedures.
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.
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.
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.
Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts.