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 two companies have teamed up in an attempt to cut downhole costs with a project that aims to extract more information from reduced data-acquisition programs. -
Oil and gas facilities regularly store and dispense large quantities of flammable and combustible liquids. Given the potential for gas, vapor, or dust to collect in these areas, the electronic equipment installed must be designed to prevent ignition of these elements by electrical arcing or other thermal means.
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Data and service provider Searcher has partnered with Oman’s Ministry of Energy and Minerals to acquire new seismic surveys and reprocess legacy seismic data.
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The new facility planned for the UK is expected to increase the company’s computing ability by 100 petaflops, or 100 quadrillion floating-point operations per second.
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The company, which runs a marketplace for commodities with the consideration of environmental, social, and governance (ESG) factors, will register crude produced by Lundin Energy with the help of certification company Intertek.
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An agreement between the companies will allow them to combine efforts to develop edge-enabled fiber-optic technology.
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The oil giant launched its Bakken crypto pilot in January 2021 and now is considering expanding it to Nigeria, Argentina, Guyana, and Germany, according to people familiar with the matter.
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The company said it plans to increase its use of Microsoft’s Azure cloud service to streamline its data.
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This paper presents an oil well completion integrating multilaterals, intelligent completions, permanent downhole monitoring systems, electric submersible pump (ESP) and a horizontal wellhead system.
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This paper presents the development and test of a method to predict upstream events that could lead to flaring, applying an integrated framework using machine-learning and big-data analytics.
