AI & Machine Learning
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.
Refineries need machine learning to improve operations
Machine learning and other advanced technologies are embedded in advanced analytics software to empower engineers and other experts.
Artificial intelligence pipe welding system launched
ARC Specialties' Artificial Intelligence Pipe Welding System (AIPW) incorporates a collaborative robot arm from Universal Robots to carry out challenging welds in the oil & gas industry. See video.