Digital Transformation
In this interview, Sushma Bhan, energy data, AI leader, and technical director of the SPE Data Science and Engineering Analytics Technical Section, shares lessons from 3 decades at Shell, discussing digital transformation, the future of AI in upstream operations, leadership development, and career advice for the next generation of energy professionals.
Discover how AI and machine learning are transforming oil and gas field development by reducing subsurface uncertainty, optimizing development decisions, and maximizing long-term reservoir value from concept selection through production.
As upstream operators move beyond isolated experiments, the hardest part of the AI journey is not building a model, it is making it stick.
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NUS Engineering is working on a hybrid UAV, which combines the features of a helicopter and an airplane. -
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?
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A quick look at the term "Fourth Industrial Revolution" and links to related articles.
