NVIDIA Partners in Energy

Fluidized catalytic cracking units (FCCU) are at the heart of modern refineries, processing a wide variety of feedstocks into fuels and chemicals. FCCUs operate 24/7 for years on end, so small improvements in reliability and performance have a tremendous economic impact. CFPD’s Barracuda Virtual Reactor simulation software reduces a refiner’s risk when making changes to the FCCU and enables technology providers to bring new solutions to market faster at lower total cost.

Data analytics teams are developing AI models to automate power plant and oil rig inspections, optimize fuel shipping, forecast energy demand, and manage distributed energy resources. AES, a leading energy company, built and deployed over 50 AI models in two years using Domino Data Lab to optimize liquid gas shipping and logistics, predict power generation equipment maintenance, guide fintech energy trades, make hydrology predictions, and more.

CGG is using machine learning at the edge for seismic interpretation workflows. Using deep learning, CGG can interpret terabyte-sized seismic datasets and determine subsurface features, such as salt body interpretation and oil and gas deposits.

CGG generates detailed, data-driven models of the subsurface with full-waveform inversion, ocean-bottom node data, least-squares migration, time-lapse 4D seismic imaging, and internal multiple attenuation.

Dell Technologies and NVIDIA deliver simplified, high-performance, AI-ready solutions with deep AI expertise. Dell and NVIDIA enable utilities to improve reliability, resiliency, and operational efficiency through standard operational platforms. Oil and gas enterprises can enhance energy efficiency, advance the energy transition, and accelerate the path to a low-carbon future using accelerated computing.  

Eviden and NVIDIA are building next-generation supercomputers for key high-performance computing (HPC) and artificial intelligence workloads—enabling enterprises to solve grand challenges in exascale computing in climate, healthcare, and more with enhanced energy efficiency.

HPE powers 100 of the world's top 500 most powerful supercomputers, including some of the largest energy companies and research labs. This includes Perlmutter, Polaris, Trinity (U.S. Department of Energy), Discovery 5 (ExxonMobil), Dammam-7, Ghawar-1, Unizah-II (Saudi Aramco), HPC4 (Eni), and more.

Supermicro is a global leader in the design and manufacturing of energy-efficient building blocks motherboard design, system configuration, fully integrated rack, and liquid cooling systems for enterprises looking to accelerate and scale HPC workloads. This includes tailored solutions for oil and gas exploration and production to reduce costs, enhance accuracy, and accelerate subsurface understanding.

Deloitte is powering energy innovation across chemicals and specialty materials, engineering and construction, industrial manufacturing, mining and metals, oil and gas, power and utilities, and renewable energy. The alliance with Deloitte and NVIDIA helps organizations access market-leading accelerated computing power and create deep learning models that can deliver new capabilities, value, and a competitive advantage.

Quantiphi uses deep learning, statistical machine learning, and data solutions to accelerate performance for energy use cases such as predictive maintenance in oil rigs, seismic image resolution enhancement, 3D image segmentation, and intelligent engineering document compliance.