Data & Analytics
With the latest addition, the Italian major’s computational capacity passes the exaflop threshold, making the firm the world’s leading company by computing power in the new TOP500 global ranking.
This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.
This work describes a study in which distributed data parallel training, paired with a node-local caching pipeline, enabled efficient multigraphics-processing-unit scaling for a CO₂-storage graph-neural-network surrogate while maintaining generalization.
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Big data analytics is a big deal right now in the oil and gas industry. This emerging trend is on track to become an industry best practice for good reason: It improves exploration and production efficiency. -
A lot has been learned about shale, but those working to eke out oil from that ultratight rock still extract more value from data than physics.
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SponsoredThe OSDU™ Data Platform has the potential to significantly increase the interoperability of E&P data. Find out how IHS Markit is supporting adoption of the standards-based data ecosystem through its Enterprise Data Management (EDM) for Energy platform.
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The last year has seen people in many sectors unexpectedly confronting a new challenge—working remotely. Even before this, our industry has been trying to operate fields remotely (either partially or fully) and make operations smarter and more automated.
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This paper discusses the development and commissioning of one of the first fields in the UAE to be operated remotely. The designed and applied technology facilitated unmanned operation of the field from downhole to export.
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Dynamic simulation has proved an effective tool throughout the lifecycle of the deepwater Appomattox project, in large part because of implementation at an early stage.
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This paper discusses how digital technologies are being applied in other verticals and how they can be leveraged to optimize lifecycle performance, drive down costs, and decouple market volatility from profitability for offshore oil and gas facilities.
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The paper discusses a methodology for integrating intelligent completion and production systems with a modeling and analytics framework for efficient development of fiber-optic-based data-interpretation services for complex downhole environments.
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Physics-based simulations plus machine-learning exercises are yielding a more comprehensive look at production volumes from unconventional assets.
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Saudi Aramco is accelerating the adoption and scaleup of disruptive and multipurpose robotic technologies to deliver safer, cost-effective, and efficient inspection capabilities, emergency response, aerial mapping, project monitoring, security surveillance, and environmental monitoring.
