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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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… -
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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BHGE shared its plans for the integration of its services, products, and digital platforms for upstream to downstream applications.
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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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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.
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No longer considered a buzz phrase, cloud computing has made converts of the largest oil companies, and now the smaller ones are next.
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The BP Statistical Review of World Energy is an institution in the energy world. Who's behind assembling and managing the mountain of data that goes into it?
