Data & Analytics
The report on data from the Cybernews Business Digital Index also revealed that only 10% of top oil and gas firms passed a basic cybersecurity assessment. The rest failed.
The company’s new Retina imaging system creates high-resolution borehole images at the drill bit.
Gautam Swami, manager of corporate R&D at NOV and SPE member, shares his experiences in building a career in oil and gas R&D, discusses how innovation is shaping the industry, and offers guidance to young professionals.
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Aramco’s latest MOUs focus on driving innovation and growth across oil, gas, and downstream sectors. -
Weatherford International announced a strategic agreement with Amazon Web Services (AWS) to advance the company's digital transformation and drive innovation across the energy sector.
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This article presents a comparative study evaluating four machine-learning approaches, including three deep-learning methods, for forecasting gas and condensate production over a 5-year horizon.
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The Cybersecurity and Infrastructure Security Agency said in a recent alert that cyberattackers are going after industrial control systems and supervisory control and data acquisition systems.
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The companies completed a technical assessment of the technology for use with floating production, storage, and offloading vessels.
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The USV Challenger will be remotely controlled from shore and will be equipped with multiple autonomous features.
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After a successful trial phase of ENERGYai, AIQ has been tapped to roll out the technology across ADNOC’s upstream operations.
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Weatherford and AIQ say they aim to enable the energy sector to unlock efficiencies, boost productivity, and reduce operational costs by combining their strengths.
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The rapid development of oil and gas intelligent operations depends on artificial intelligence, automation, and data analytics to achieve optimal conditions in oil and gas operations.
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This article is the second in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, Madhava Syamlal, CEO and founder of QubitSolve, discusses the present and future of quantum computing.
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