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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The Internet giant is walking away from the exploraiton and production business following a report that claimed it was undermining its own climate initiatives by offering its machine-learning tools. -
Water-in-oil emulsions cost millions in maintenance, reduce oil recovery, and create excess carbon. These economic and environmental burdens may finally be resolved.
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Alan Nelson is not only the new chief technology officer at ADNOC, he is the company’s first person to hold the title at the integrated oil company.
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With new options for connectivity, and the growing popularity of LTE connections, there is a huge opportunity for remote connections to close the digitalization gap.
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Shell has partnered with Udacity to provide its staff training in artificial intelligence.
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Moving away from siloed organization to the co-creation of an IT/business strategy is an important progression in the journey of digital transformation.
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Firms globally are still struggling to build teams that can capitalize on the true value of data.
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The fast microprocessors used in bitcoin mining need cold temperatures. What brought this bitcoin company to west Texas, which suffers through 90-degree-plus days for nearly half the year?
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The world of work is changing rapidly. Do these workforce changes truly represent a death knell for oil and gas field careers, or could they be just what we need?
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HML methods have become common in recent applications. We have probably been using some of them without realizing it. It is, however, necessary to know about them in the context of understanding the underlying concepts of their methods and how they work.
