Digital Transformation
Agentic AI could help upstream oil and gas operations reduce emissions by enabling real-time methane detection, optimizing flaring and energy use, and improving carbon capture efficiency.
This article examines how domain experts can use no-code ML platforms to explore decision-relevant problems, validate hypotheses, quickly build prototypes, and engage more effectively with data science teams when solutions transition toward production.
AI-driven analytics and digital platforms are reshaping offshore operations, enabling smarter, faster decision-making.
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Pulled directly from the reservoir rock, core samples provide critical data used to determine how exploration should proceed. Until recently, core analysis remained old school, however, there is an ongoing transition to bring the process of core description into the digital age. -
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.
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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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Surya Rajan, a director at IHS Cambridge Energy Research Associates (CERA), discusses the drivers for innovation in oil and gas along with expected areas for technology development.
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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.
