Data & Analytics
This article explores how AI is transforming oil and gas operations, including its real impact on methane reduction, predictive maintenance, energy efficiency, and whether it truly delivers measurable sustainability gains or just adds complexity.
AI is evolving into a practical tool that helps geoscientists and engineers work faster, evaluate more opportunities, and manage subsurface uncertainty.
Digital drilling technologies are enabling a shift toward more predictive, efficient, and sustainable operations.
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Case studies from around the world prove that big rewards await companies that optimize the artificial lift systems keeping their mature fields alive. The success stories involve a mix of monitoring, automation, and performance tracking. -
Saudi Aramco is on a mission to increase the amount of seismic data that it collects by fourfold, while reducing costs and acquisition time by half of what it spends today.
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It has been an impressive comeback for a technology that once stood on the brink of failure. The upstream oil and gas industry has largely resolved crippling technical challenges that shortened the life of fiber-optic cables in downhole applications and is now working on a big encore.
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Some of the world’s largest exploration and production companies say the big bets they have placed on high-performance computing over the past several years are set to pay off.
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Robotic submarines, capable of operating by themselves thousands of feet underwater for months or perhaps years at a time, are under development as the vanguard of tomorrow’s subsea oil and gas fields.
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Unmanned aircraft are finding their place in the oil and gas industry by providing aerial geologic modeling to address reservoir-related challenges and making inspections safer.
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Industry has developed smart completions, smart wells, and smart fields. The next frontier is real-time reservoir management (RTRM) using all of the data from smart installations, as well as artificial intelligence.
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