Data & Analytics
The 2-day event will explore the evolving role of quantum computing in oil and gas applications.
The event, taking place on 2 April, will explore the theme "Beyond Automation: AI as the Catalyst Reshaping the Oil and Gas Industry."
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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SPE has established three new technical sections—the Management Technical Section, the Methane Emissions Management Technical Section, and the Data Science & Engineering Analytics Technical Section. -
Schneider Electric University has been designed to help data center professionals expand their skills by offering free guidance on the latest technology, sustainability, and energy efficiency initiatives.
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The ethics of artificial intelligence (AI) has become an important topic in the application of AI and machine learning in the past several years. This first part of a two-part series explains the evolution and importance of the ethics of AI. The second part will present its relevance and use in engineering applications.
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The 2021 Geothermal Experience Datathon focused on the application of analytics and data-science tools on oil and gas well-log data to assess geothermal potential in two North American basins.
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Earlier this year, 19 teams competed in a machine-learning contest held by the Data Analytics Study Group of SPE’s Gulf Coast Section. The was the first competition of its kind for SPE. Here, the organizers of the contest present some of the techniques used and lessons learned from the Machine Learning Challenge 2021.
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Smaller and independent upstream companies often have limited resources for data management. Nonetheless, their data are valuable and must be managed for that value to be realized. Geologists may just be in the perfect position to do the job, if they can get the training.
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The market may be different from what we have previously experienced, but the path to a successful digital transformation is durable and the core principles of success have not changed.
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The grant provides students with access to leading E&P software and mentoring opportunities to engage and prepare them for future careers.
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Start-and-stop data management initiatives and a mishmash of partial solutions are no longer viable for managing the digital oil field. Data management should be transformed from a cost center to a cash-flow-generating function.
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This column is intended to provide a starting point and a roadmap for professionals who want to learn data science and are struggling with the question, “Where do I start?”
