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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In addition to the well-recognized elements of digital transformation such as real-time monitoring, remote intelligence, and extraction of insights from data, there is a need to evolve the industry hardware through application of enhanced edge computing. -
Automated image-processing algorithms can improve the quality and speed in classifying the morphology of heterogeneous carbonate rock. Several commercial products have produced petrophysical properties from 2D images and, to a lesser extent, from 3D images.
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The complete paper provides an approach using machine-learning and sequence-mining algorithms for predicting and classifying the next operation based on textual descriptions.
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The complete paper describes an automated machine-learning approach to determine the spatial variation in decline type curves for shale gas production, based on existing data of production, completion, and geological parameters.
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Imagine the time when we are no longer concerned about the digital-transformation issues we face today, such as data availability, security, and many others. This would be the time when companies make the best out of digital infrastructure. This era might be here sooner than expected.
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Field examples presented in the complete paper describe principles of data acquisition with a sand-detection tool when run in combination with a production logging string and results of logging in slightly deviated wells completed with sand screens.
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A recent panel discussion highlighted the industry’s progress in achieving significant digital advances. Barriers remain, however, and the measurement of success is being defined in this evolving technological step change.
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The pandemic has been an unexpected jolt for the global economy, bringing many industries to a halt. Murphy has taken a step forward into a digital future by designing and implementing a COVID-19 tracking app that is easy to use, quick, and convenient.
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Advances in drone technology and construction have allowed more industrial applications to take off. One application for which drones may be particularly useful is health, safety, and environmental compliance. Similarly, drones may help facilities comply with site security regulations.
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Deep learning is routinely used in products and services that affect hundreds of millions of lives, despite the fact that no one quite understands how it works. Now, the Office of Naval Research has awarded a $7.5 million grant to a group of researchers who think they can unravel the mystery.
