Energy touches every aspect of modern society and can impact the global economy as well as improve the lives of individuals. Today, the industry faces challenges in exploring new resources, reducing costs, continuing to provide security for workers and communities, and ensuring reliable delivery to customers. In response, leading companies are using NVIDIA technologies to accelerate energy production, increase resource utilization, optimize petroleum refining and distribution, and reduce environmental impact.

Operating power plants safely
with Digital Twins

Learn how Siemens Energy is leveraging NVIDIA Omniverse™ and NVIDIA Modulus to create a Digital Twin that could save $1.7 billion per year in predictive maintenance.

Extracting value from data

Turn massive amounts of data from routine upstream operations, pipeline and refinery sensors, and maintenance processes into actionable insights using NVIDIA AI tools.

Experience computing with super turbo

Accelerate geophysical and engineering applications with high-performance computing, whether locally in your data center or in the cloud.

Protect health and the environment

Ensure personal protective equipment (PPE) protocols are followed and safety hazards are identified by using AI to monitor equipment, predict and detect failures, and save lives.

PROCESS OPTIMIZATION IN THIS INDUSTRY

Research and production

The GPU NVIDIA platforms are instrumental in supporting Eni's research activities and improve our ability to implement more complex seismic imaging tasks in less time and with higher accuracy
Luca Bertelli, Chief Exploration Officer at Eni

Seismic data processing

Whether you are using Reverse Time Migration (RTM), Kirchhoff, or Full Waveform Inversion (FWI) algorithms: Processing seismic data on NVIDIA GPUs can reduce the time it takes to find oil reservoirs by processing seismic data up to 5 times faster than CPUs alone. Using NVIDIA GPUs, geophysicists processing seismic surveys can apply advanced filters and interpret results in the most complex data sets.

Geoscientific visualization

Whether you use a local workstation or a virtual desktop, NVIDIA professional visualization solutions increase throughput for visualization and high compute performance. NVIDIA Quadro® improves 3D seismic trace attribute calculation and visual analysis of regional basins right at the evaluator's desktop.

Reservoir simulation

Maximize reservoir performance with the most advanced modeling and simulation technology. NVIDIA GPUs with CUDA® software run processes faster and reduce model processing turnaround times, so researchers get the most value in the least amount of time.

Health, safety and environment

Protecting employees, contractors, and the environment is the most important mission of energy companies today. Using NVIDIA Metropolis, companies can make their drilling rigs safer and smarter by applying Deep Learning to video streams for applications such as employee safety, traffic management, and resource optimization.

PIPELINE OPTIMIZATION

Use Big Data and AI systems to optimize how you fill a pipeline, detect corrosion and thus potential leaks, and automate ultrasonic flow meters to increase throughput. These technologies can also be used to monitor the location of shipments and verify their safety.

Other uses include demand forecasting to optimize commodity trading, transportation, and pipeline capacity.
using deep learning and machine learning algorithms, oil and gas companies can determine how best to optimize their processes as conditions change
"NVIDIA and Baker Hughes, a
General Electric
company,
pump AI into the oil
and gas industry

,

" NVIDIA blog

PREVENTIVE MAINTENANCE

Avoid power outages, downtime, and unnecessary maintenance costs by detecting machine discrepancies in real time and predicting the remaining useful life of the equipment. GPU-based deep learning servers such as NVIDIA® DGX 1™ also enable rig operators to visualize and analyze massive amounts of production and sensor data such as pump pressures, flow rates, and temperatures.

Capacity optimization, economic forecasting and site monitoring are also possible uses.

Performance optimization

Increase the reliability and performance of your refining assets by identifying the root causes of poor performance, virtually testing operational or asset changes, and minimizing unforeseen risks from proposed changes.

Power generation and distribution

Hydrocarbon

Explore new energy deposits and discover available hydrocarbon reserves by processing seismic data. Create accurate models of the subsurface in less time on NVIDIA GPUs.

RENEWABLE

Optimize renewable energy generation and reduce operating costs with AI, e.g. for wind turbine inspection and maintenance.

POWER SALE

Forecast future workloads by using Advanced Metering Infrastructure(AMI) data in machine learning models running on NVIDIA GPUs.

POWER NETWORKS

Improve the performance of complex grid operation optimization and modeling techniques running on NVIDIA GPUs.

Work on the task of your life - anywhere

Now, as the world of work increasingly turns to remote work, geoscientists and engineers in the energy industry need access to the same tools and resources available to them in the office. Solutions from NVIDIA and our partners enhance the remote work experience, allowing users to stream the most demanding applications and datasets similar to a native workstation, without compromising data security.

SOLUTIONS FROM NVIDIA FOR THE ENERGY INDUSTRY

Computing in the periphery

By capturing and analyzing data at the network edge, companies can more quickly predict mechanical problems in areas such as oil pumps. Advanced computing in industrial peripherals requires GPU-powered computing for industrial inspection and robotics in factories, as well as predictive maintenance of equipment in the field. The NVIDIA EGX platform provides a single, unifying foundation for industry-leading edge AI applications and frameworks.
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Computing in data centers

Drive efficiency with high-performance computing, data processing, and data management that support the unique needs of key industry segments and processes. NVIDIA's GPU-accelerated solutions make training deep learning and machine learning models significantly faster, delivering insights that could not be achieved before. From the peripheral to the data center, NVIDIA GPUs are available for every major computing system and server vendor. They are also available in NVIDIA DGX systems equipped with DGX add-on software for rapid deployment to meet the needs of Deep Learning and Machine Learning developers.
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Democratization of the data center
with the cloud

Deliver power from supplier to consumer using cloud computing to save energy, reduce costs, and increase reliability. NVIDIA GPUs are available on demand in all major cloud platforms worldwide, and NGC provides GPU-accelerated containers for easy deployment, including deep learning frameworks like TensorFlow, PyTorch, MXNet, and more. NVIDIA Metropolis, the application framework for smart cities, is fully integrated with Azure IoT Edge and will soon be integrated with AWS IoT Greengrass.
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Accelerate your workflows
with NVIDIA

NVIDIA software libraries and SDKs create a scalable solution that enables customers to deploy inference and AI in the cloud, on their servers, or in the periphery. This software investment is designed to save customers implementation time and reduce overall development costs. NVIDIA software and SDK resources include NVIDIA JetPack™ for embedded applications, DeepStream for intelligent video analytics (IVA), NVIDIA Isaac™ and NVIDIA TensorRT™ for inference, the Transfer Learning Toolkit for optimizing deep neural networks (DNNs), NGC for containers and AI software, and more.

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