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Energy touches every aspect of modern society and can have an impact on the global economy and improve the lives of individuals. Today's industry faces the challenge of unlocking new resources, reducing costs, continuing to ensure safety for workers and communities, and ensuring reliable supplies for customers. In response, leading companies are using NVIDIA technologies to accelerate energy production, increase resource utilisation, optimise oil refining and distribution, and reduce environmental impact.
GAINING 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 SUPERTURBO
Accelerate geophysical and engineering applications with high-performance computing, whether locally in your data centre or in the cloud.
HEALTH AND PROTECT 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 OPTIMISATION IN THE ENERGY SECTOR
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 bei 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 deposits by processing seismic data up to 5 times faster than CPUs alone. NVIDIA GPUs enable geophysicists processing seismic surveys to apply advanced filters and interpret results in the most complex data sets.
GEOSCIENTIFIC VISUALISATION
Whether you use a local workstation or a virtual desktop, NVIDIA professional visualisation solutions increase visualisation throughput and high computational performance. NVIDIA Quadro® improves 3D seismic trace attribute calculation and visual analysis of regional basins right at the evaluator's desktop.
STAURAUMSIMULATION
Maximise reservoir performance with the most advanced modelling 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 THE 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 optimisation.
PIPELINE OPTIMISATION
Use Big Data and AI systems to optimise 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 applications include demand forecasting to optimise commodity trading, transportation and pipeline capacity.
"Using Deep Learning and Machine Learning algorithms, oil and gas companies can determine how best to optimise their processes as conditions change."
- "NVIDIA and Baker Hughes, a General Electric company, are pumping AI into the oil and gas industry"
PREVENTIVE MAINTENANCE
Avoid power outages, downtime and unnecessary maintenance costs by identifying machine discrepancies in real time and predicting the remaining useful life of the equipment. With GPU-based deep learning servers like NVIDIA® DGX™, rig operators can also visualise and analyse vast amounts of production and sensor data such as pump pressures, flow rates and temperatures.
Capacity optimisation, economic forecasting and site monitoring are also conceivable applications.
PERFORMANCE OPTIMISATION
Increase the reliability and performance of your refining equipment by identifying the causes of poor performance, virtually testing operational or equipment changes and minimising unforeseen risks from proposed changes.
"Avitas is working to revolutionise asset integrity management through our innovative digital inspection and forecasting platform. Our unique approach combines advanced analytics with autonomous inspection methods that help our customers deliver safer, cleaner and more efficient energy solutions. NVIDIA is a key partner in helping us scale our edge capabilities with the EGX platform."
- Jason Roe, CEO, Avitas Systems, a Baker Hughes Company
ELECTRICITY 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
Optimise renewable energy production and reduce operating costs with AI, e.g. for the inspection and maintenance of wind turbines.
POWER SALE
Forecast future workloads by using Advanced Metering Infrastructure(AMI) data in machine learning models running on NVIDIA GPUs.
WORK ON THE TASK OF YOUR LIFE - IN EVERY PLACE.
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.
By capturing and analysing data at the edge of the network, companies can more quickly predict mechanical problems in areas such as oil pumps. Advanced computing in the industrial periphery 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.
COMPUTING IN DATA CENTRES
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 centre, NVIDIA GPUs are available for every major computing system and server manufacturer. They are also available in NVIDIA DGX systems, which are equipped with DGX add-on software for rapid deployment to meet the needs of Deep Learning and Machine Learning developers.
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 offers 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.
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 optimising Deep Neural Networks (DNNs), NGC for containers and AI software, and more.
This website uses cookies, which are necessary for the technical operation of the website and are always set. Other cookies, which increase the usability of this website, serve for direct advertising or simplify interaction with other websites and social networks, will only be used with your consent.
