Digital Transformation
Digital drilling technologies are enabling a shift toward more predictive, efficient, and sustainable operations.
The Genesis Mission is a US Department of Energy initiative that integrates AI, national labs, and cross-sector collaboration to accelerate scientific discovery, strengthen energy innovation, and enhance national security.
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.
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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.
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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.