AI & Machine Learning

Intelligent use of cloud sharpens operational insight

Cloud-based wireless sensing enables safety, reliability and profits through widespread asset monitoring

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.