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Implementing AI for optimization of oil and gas production

Enterprise-scale artificial intelligence (AI) has the potential to transform upstream oil and gas operations.. Successful implementation requires attention to data integration, the development, deployment, and maintenance of a large number of machine learning (ML) models, and a combined expertise in data science and the oil and gas domain.
Amirh Delgoshaie Z Larry Jin Energy Resource Engineering Energy Resources Engineering Baker Hughes Stanford University

Enterprise AI for virtual metering in upstream oil & gas

Optimization of upstream production often requires application of digital technology that augments the physical infrastructure in oil and gas field and streamlines the process of collecting and integrating valuable domain data for analysis. Artificial intelligence (AI) applied to production fields can provide holistic monitoring and predictive insights to improve operations and increase production. A good example is AI-based virtual metering.
Amirh Delgoshaie Z Larry Jin Energy Resource Engineering Energy Resources Engineering Baker Hughes Stanford University

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