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 nascent technology uses a new way to store, process, and measure information in computer systems. It is expected to introduce drastic changes in the development of technology, the discovery of algorithms, and the advancement of computer architectures. -
Visually displaying data makes it much more accessible, and this is critical for identifying the weaknesses of an organization, accurately forecasting trading volumes and sale prices, and making the right business choices.
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Artificial intelligence tools present many opportunities for the energy industry, and, as technological concepts leave the realm of science fiction, companies have started to grasp what is possible. What roles do culture and ethics play in helping companies understand the digital revolution?
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Partnerships with big tech, tech startups, and innovative service companies—and the merging of their data, cloud, and software applications—are proving essential for operators in the scaling phase of digital deployment. Equinor, Microsoft, and Halliburton are among those joining forces.
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A case study in the deepwater Gulf of Mexico in which pressure transient analysis, fractional flow, and production logging tools were integrated to identify correctly the cause of, and execute an effective remedy for, a well’s productivity deterioration.
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Digital technologies serve as a primary theme of this year’s group, with a few environmentally conscious firms included in the mix.
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This article discusses the role of data management in the context of exploration and production from the 1990s, when building centralized databases was the mainstream, to the end of the second decade of the 2000s.
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Most industries measure digital transformation by accelerated, highly visible outcomes—from new business models and efficient processes to experiences that wow customers and employees alike. But not the oil and gas industry. In fact, it may be following a completely different playbook.
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The service company said it will make its data ecosystem available to the platform that is designed to bring together exploration, development, and wells data from across the industry. This will allow Schlumberger to integrate its solutions with its clients who have already joined the platform.
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Two firms have announced new partnerships to perform unmanned-aircraft-systems-based missions for oil and gas clients in the US and abroad.
