Data & Analytics
The emerging vision is an industry where engineers focus on judgment, risk assessments, and accountability.
This paper presents the large-scale deployment and operational integration of an advanced, automated rheometer in the Ghawar gas field, one of the world’s most prolific and technically complex hydrocarbon developments.
Case studies from Devon Energy, ConocoPhillips, and others show how clever engineering and technology are being used to improve recovery and asset value.
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Researchers with the National Center for Airborne Laser Mapping at the University of Houston are creating a set of algorithms that would allow users to more-precisely align data sets collected at different times and reliably estimate changes between images captured at different times. -
In partnership with TechnipFMC, DNV GL opened a pilot project for the international collaboration of operators and the supply chain. Many digital twins represent an asset’s initial form and struggle to reflect developments in their physical counterparts as the asset matures.
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Many reviews of unsuccessful digital-transformation projects point to the lack of the proper organizational culture for the adoption of digital oilfield solutions. What is the right organizational culture for a data-driven enterprise?
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When the world reopens, it will be flooded with the opportunities and tools that extended-reality platforms have to offer.
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SponsoredTo optimize decision-making, minimize risk, and create value, oil and gas companies can turn to liberated, contextualized data. For exploration or drilling, liberated, contextualized data can help the upstream industry make trustworthy decisions that save time and costs. This paper explains how.
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SponsoredFor surveying, exploration, analytics, and a whole host of processes, liberated, contextualized data tailored to the environments of E&P subsurface will empower confidence, speed, reliability, agility, and most importantly, innovation. This is how Aker BP is doing it.
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As SPE members deal with challenging and uncertain times, they are reminded that there are a number of programs available to provide support and key resources. Read more to see which ones are useful to you and your career.
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“Dark data” may be a relatively unknown term for many, even though all contribute to its growing presence. It represents data that is accumulated continually by the interconnected systems used every day. A recent survey estimated that an average of 55% of accumulated data is dark and unexplored.
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An estimate says data centers, including edge sites, will soon use four times the energy all data centers used in 2018. Can it be true?
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Support vector machines are powerful for solving regression and classification problems. You should have this approach in your machine-learning arsenal, and this article provides all the mathematics you need to know. It's not as hard you might think.
