Data & Analytics
Switching from continuous circulation to cyclic huff-‘n’-puff operation in enhanced geothermal systems can significantly delay thermal breakthrough, sustain higher production temperatures, and improve long-term economic performance.
The two companies say they plan to work together to use agentic AI to increase the capabilities of technical experts.
This article is the first in a Q&A series from the SPE Methane Emissions Management Technical Section (MEMTS) on methane intelligence and how oil and gas teams translate emissions data into credible decisions and measurable reductions.
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There is often an assumption that big data, together with machine learning, will solve whatever problems asset-heavy industries such as oil and gas face. This is not the case; big data alone isn’t enough. We need something else to solve these problems, and the answer lies in the world of physics. -
AltaML has announced a partnership with engineering and design firm Kleinfelder in which the two companies will pair 3D reality scans of facilities with artificial intelligence to look for potential problems and risks.
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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.
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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.
