Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
Novel lift systems, AI-driven automation, and real-time engineering models are helping operators extract more value from mature wells.
This case study from Tomax outlines the use of artificial intelligence to analyze high-fidelity data of the full drilling process.
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The agreement signed by Schlumberger, AIQ, and Group 42 is designed to develop and commercialize artificial intelligence for global exploration and production. -
A new study confirms the success of a natural-gas leak-detection tool pioneered by Los Alamos National Laboratory scientists that uses sensors and machine learning to locate leak points at oil and gas fields, promising new automatic, affordable sampling across a vast natural gas infrastructure.
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The success of any digital oilfield project is predicated on the quality of the data structure, acquisition, communication, validation, storage, retrieval, and provenance of the data.
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A recent datathon and the team that took home the grand prize help paint a picture of both the industry’s’ digital transformation and how oil and gas engineers are embracing it to navigate uncertain times.
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The oil and gas industry has picked up on the benefits of digitization and artificial intelligence in its day-to-day activities, and the health, safety, and environment sector is no exception. While AI brings clear benefits, the risks that come with those benefits remain unclear.
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The coronavirus crisis had a devastating effect on oil-company revenues, but it has posed a tough human-resources problem too: how to keep workers safe on cramped rigs at sea where social-distancing is impossible. Many operators have found an answer in technology—specifically, digital twins.
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The subsea-technology company’s LUMA X subsea wireless communication modem will enable real-time streaming of HD-quality video and 4K images wirelessly through water, allowing the operators of autonomous underwater vehicles to monitor its interventions from its control rooms onshore.
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The data industry has gotten exceptionally good at building large, complex software systems. We’re now starting to see the rise of massive, complex systems built around data. Despite all of this, there is still a tremendous amount of confusion around what technologies are on the leading end.
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The Northern Lights project will disclose data sets from the confirmation Well 31/5-7 Eos drilled in the North Sea and completed earlier this year.
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Work from home is the new normal. Digital tools have come to the rescue. The questions that is going around the industry is: Will the increased reliance on digital technologies in the workplace generate increased adoption of the digital transformation?
