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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This article highlights interesting applications of machine learning in the oil and gas industry in drilling, formation evaluation, and reservoir engineering. Each project uses a data-driven model to solve a previously complex problem using machine learning to augment an existing solution. -
The AI revolution in the market for consumer goods by companies like Amazon and Alibaba led to significant changes in the market dynamics. Similar impacts can be expected in the midstream industry as the AI revolution unfolds there.
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Meet the group advancing digital technology adoption within one of the largest oil and gas producers in the US. Its aim is to cross-pollinate reservoir engineers with data scientists to create a 21st century workforce.
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The international major has been playing with intelligent programs for years, but this new deal shows that it is now ready to scale those efforts up to cover hundreds of thousands of pieces of equipment.
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The 5-year-old software startup is getting noticed by the oil and gas industry for its ability to accelerate analytics projects by taking care of all the tedious work involved with data wrangling.
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BP has invested more than $100 million into nine different startup companies in the past 2 years—but only one of them wants to turn your brain into a piece of its software.
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The same tools that make it fun and easy for you to see a friend's updates online are also pretty good at tying together unconnected databases holding valuable well information.
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What do 60,000 sensors on 1,200 pieces of equipment add up to? Hopefully, hundreds of millions of dollars in savings.
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Video games have been seen as a big waste of time for years by parents around the globe. But now, the oil and gas industry sees the underlying technology as a big time saver.
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Well-interference issues can be hard to diagnose, but this startup may be figuring that out. The data-driven process it developed can also help operators come up with more effective ways to use diverters.
