Digital Transformation
How AI-powered well planning is transforming field development by accelerating trajectory design, reducing drilling risk, optimizing costs, and helping engineers deliver safer, more efficient wells.
Discover how AI leader Fatai Anifowose transformed skepticism into innovation, sharing insights on artificial intelligence in energy, leadership, continuous learning, and the skills shaping the future of the industry.
Utkarsh Sinha, 2026 TWA Energy Influencer, is driving innovation at the intersection of reservoir physics and AI, combining research, patents, and industry leadership to develop practical machine learning solutions that improve reservoir and production engineering decision-making.
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Two new centers in Bergen, Norway will lean on emerging digital technology to oversee much of the Norwegian operator’s offshore operations.
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Digitalization is going to impact every industry in the next 5–10 years. The oil and gas industry needs a lot more data scientists today than a year ago, so a person with the right qualifications and experience is the need of the industry today.
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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.
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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.