Data & Analytics
Working with Dell Technologies and NVIDIA, the French supermajor is targeting improved seismic processing and artificial intelligence applications.
A discussion at the inaugural executive breakfast convened by the SPE Data Science and Engineering Analytics Technical Section, held alongside CERAWeek by S&P Global and powered by Black & Veatch, tackled the challenge of value creation from artificial intelligence in the energy industry.
AI‑driven data center growth is straining US power grids and accelerating interest in enhanced geothermal systems as a scalable, low‑carbon solution.
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The authors of this paper propose an automated approach to sand prediction and control monitoring that improved operational efficiency by reducing time spent on manual analysis and the decision-making process in a Myanmar field. -
This paper presents an approach to optimize the location of wellhead towers using an algorithm based on multiple parameters related to well cost.
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We must admit that the oil field is still in the early days of its digital journey. It’s time to give serious thought to the expectation/reality gap, the cultural differences between the way we’ve always done things and the way that digital is changing us, and the pain points that may trip us up unless we’re careful.
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The promise of DataOps, the application of agile DevOps methods and tools to data engineering, is compelling even though the term has progressed through the hype cycle for years and, for many, little impact has been achieved. The potential remains strong, though. If impact is elusive, there are likely two main causes.
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Machine learning has been shown to have a promising role in oil and gas explorations in recent years. Among the applications, determining a proper location for injection and production wells along with their optimal operating conditions is a complex problem.
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The partnership plans to develop an overlying software suite, Data Mesh, to consolidate data from various sources and increase data-access efficiency.
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A recently signed contract lines the company up to provide autonomous ocean robots for inspection of the oil giant’s subsea field developments in the Gulf of Mexico.
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This article explains what deep learning is and how it works and presents an example use case from the energy industry.
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SponsoredHow are upstream operators setting their geoscience teams up for success? Which data management capabilities are most important? And which geo data challenges are outstanding? These questions and others are answered in a report by the industry analysts IDC, based on a survey of industry participants.
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This paper examines how connected technology can help streamline safety processes and improve worksite efficiency.
