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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Data story consumers are focused on summarized results and highlights instead of details of the analysis. It’s a data scientist’s responsibility to identify the significance of the data and to present it in a simple but scientific manner. -
More than 400 students from 20 SPE student chapters across the US, Mexico, and Canada gathered at the annual SPE North America Student Symposium (NASS) held at Louisiana State University in Baton Rouge during 21–24 February.
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The fourth industrial revolution, or Industry 4.0, has the potential to disrupt every industry, including the oil and gas industry through large-scale automation, robotics, artificial intelligence, and big data analytics. Young professionals (YPs) will be the main engine responsible for the development of many Industry 4.0 technologies in the oil and gas industry. Thi…
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NUS Engineering is working on a hybrid UAV, which combines the features of a helicopter and an airplane.
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Statoil's Acting head of Digital Centre of Excellence shares the company's digital road map.
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The data science, machine learning, and artificial intelligence fields do have a great deal of overlap, but they are not interchangeable.
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R&D may be the key to the survival of companies as the new economics of the industry take hold.
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BHGE shared its plans for the integration of its services, products, and digital platforms for upstream to downstream applications.
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One tech company is using a unique approach to building custom apps for the oil and gas business.
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MIT News Office, 7 September. IBM and Massachusetts Institute of Technology (MIT) recently announced that IBM plans to make a 10-year, $240 million investment to create the MIT-IBM Artificial Intelligence (AI) Lab in partnership with MIT.
