The Benefits of GPU-Accelerated Reservoir Simulation

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Energy touches every aspect of modern society, from impacting world economies to enhancing individual ways of life. Today, the industry faces challenges in exploring new resources, reducing costs, maintaining safe conditions for workers and communities, and ensuring reliable delivery to customers. In response, leading companies are using NVIDIA technologies to expedite energy production, increasing asset utilization, streamlining oil refinement and distribution, and reducing environmental impact.

Extract 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.

Supercharge Your Compute

Speed up geophysical and engineering applications with high-performance computing, whether on-prem in your data center or in the cloud.

Protect Health and Environment

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

Streamline Industry Segment Processes

  • Upstream

  • Midstream

  • Downstream

  • Utilities

Exploration and Production

NVIDIA’s Tesla GPU-accelerated computing platforms have been instrumental in supporting Eni’s exploration activity, improving our ability to turn around advanced seismic imaging tasks in a shorter time and with a higher accuracy.

Seismic Data Processing

Whether you’re using reverse time migration (RTM), Kirchhoff, or full-waveform inversion (FWI) algorithms, seismic processing on NVIDIA GPUs can reduce the time to oil by processing seismic data up to 5X faster than using CPUs alone., By using NVIDIA GPUs, geophysicists processing seismic surveys can apply advanced filters and interpret results on the most complex datasets.

Geoscience Visualization

Whether you’re using a local workstation or a virtual desktop, NVIDIA professional visualization  solutions boost throughput for visualization and heavy computation. NVIDIA Quadro® improves the calculation of 3D seismic trace attributes and visual analysis of regional basins right at the interpreter’s desk.

Reservoir Simulation

Maximize reservoir performance with the most sophisticated modeling and simulation technology available. NVIDIA GPUs running on CUDA® software speed up and reduce model processing cycle times, allowing researchers to get the most value in limited time.

Health, Safety, and Environment

Protecting employees, contractors, and the environment is the most important job of energy companies today.  Leveraging NVIDIA Metropolis, companies can make their wellsites safer and smarter by applying deep learning to video streams for applications such as employee safety, traffic management, and resource optimization.

Pipeline Optimization

Leverage big data and AI systems to optimize how you fill a pipeline, detect corrosion to identify potential leaks, and automate ultrasonic flow meters to increase throughput.. These technologies can also be used to monitor the locations of transports and verify their security.

Other areas include demand forecasting to optimize commodity trading and  shipping and pipeline capacity optimization.

Using deep learning and machine learning algorithms, oil and gas companies can determine the best way to optimize their operations as conditions change.

— “NVIDIA and Baker Hughes, a GE Company, Pump AI Into Oil and Gas Industry,” NVIDIA Blog

Predictive Maintenance

Avoid blackouts, downtimes, and unnecessary maintenance costs by identifying discrepancies in machinery in real time and predicting the remaining useful life of equipment. With GPU-based deep learning servers like NVIDIA® DGX 1™, well operators can visualize and analyze massive volumes of production and sensor data such as pump pressures, flow rates, and temperatures.

Other areas of focus include capacity optimization, economic forecasting, and site surveillance. 

 

Performance Optimization

Increase the reliability and performance of your refining assets by identifying the root cause of underperformance, virtual testing operational or asset changes, and minimizing unanticipated risks of proposed changes. 

 

Avitas is working to revolutionize asset integrity management through our innovative digital inspection and prediction platform. Our unique approach combines advanced analytics with autonomous inspection techniques helping our customers to provide safer, cleaner, and more efficient energy solutions. NVIDIA is an important partner in helping to scale our edge capabilities with the EGX platform.

— Jason Roe, CEO, Avitas Systems, a Baker Hughes Venture

—AI Supercomputing on Location Infographic

Power Generation and Distribution

Hydrocarbon

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

Renewable

Optimize renewable energy production and cut operational costs, such as wind turbine inspection and maintenance, with AI.

Electricity Retail

Predict future load demand by using advance metering infrastructure (AMI) data in machine learning models run on NVIDIA GPUs.

Do Your Life’s Work from Anywhere

As the world shifts to remote work, geoscientists and engineers in the energy industry need access to the same tools and resources they rely on in the office. Solutions from NVIDIA and our partners elevate the remote working experience, allowing users to stream their most robust applications and datasets with a native workstation-like experience, without compromising data security.

Webinar: Oil and Gas Exploration from Home

Visit Webpage: Remote Work with NVIDIA

GPUs Are Transforming the Oil and Gas Industry

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ENGAGE WITH EXPERTS AT HPC SUMMIT DIGITAL

Learn how HPC leaders, IT professionals, researchers, and developers are leveraging HPC to advance scientific discovery. Join us online at HPC Summit Digital to explore content from different HPC communities and learn about new trends and technical innovations.

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Stone Ridge Technology

GPU-Accelerated Applications for Energy Industry

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NVIDIA Solutions for Energy Industries

Real-Time AI at the Edge

Computing at the Edge

By collecting and analyzing data at the network’s edge, companies can predict mechanical problems in areas like oil pumps more quickly. Today's industrial edge computing requires GPU-powered compute capabilities for industrial inspection and robotics in factories and predictive maintenance for 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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Powerful Computing for Data Centers

Computing in Data Centers

Create efficiencies through high-performance computing, data processing, and data management that support the unique requirements of the industry’s key segments and processes. NVIDIA’s GPU-accelerated solutions dramatically speed up training of deep learning and machine learning models to deliver insights that were previously not possible. From edge to data center, NVIDIA GPUs are available from every major computer system and server manufacturer. They’re also available in NVIDIA DGX Systems, which are equipped with the DGX software stack for rapid deployment to meet the demands of deep learning and machine learning developers.

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Real-Time AI at the Edge

Democratize the Data Center with the Cloud

Deliver power from suppliers to consumers 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 such as 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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Powerful Computing for Data Centers

Accelerate Your Workflows with Software

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

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