Azure high-performance computing (HPC) for energy
Optimize all stages of upstream oil and gas industry exploration, appraisal, completion, and production.
Get high scalability with low latency, high-bandwidth InfiniBand interconnectivity between virtual machines (VMs) for large-scale, tightly coupled HPC workloads.
Energy HPC scenarios
Improve economic recovery by simulating highly complex, large-scale reservoir models. Run optimization algorithms on top of your simulation tools to improve estimation of reserves.
Seismic imaging and modeling
Identify potential reservoirs with confidence by quickly ingesting and processing growing sets of seismic data. Visualize the reconstructed subsurface geology on GPU-powered workstations using software tools of your choice, including proprietary, commercial, and open-source technologies.
Powerful infrastructure as a service (IaaS) for the energy industry
- Perform memory-intensive seismic imaging and reservoir simulations on HB v2 Azure Virtual Machines (VMs). HB v2-series VMs are three times faster than most on-premises HPC hardware.
- Use HB and HC VMs for memory bandwidth-bound and compute-bound reservoir simulations.
- Use NV VMs for 3D reservoir modelling and visualizing seismic data.
- Get high-performance seismic data-processing with Cray ClusterStor, a Lustre-based, bare-metal, fully managed HPC storage solution with three times more throughput than traditional Lustre storage options.
Learn how energy industry customers are innovating with Azure HPC
Lance Goodship, Enterprise Architect, AI, BP
"We chose Azure Machine Learning because it offers a rich, end-to-end AI ecosystem that provides the features we need to bring solutions to market quickly."
Diane Cillis, Engineering Technologist, Chevron Canada
"We only have a finite amount of time to extract data, and oftentimes the data that's left behind is valuable. With this new technology, we're able to extract everything and then decide what we can use to improve our performance."
Daniel Jeavons, General Manager for Data Science, Shell
"With Azure, we not only get an intelligent cloud, we get an intelligent edge, which helps us automatically identify and respond to safety hazards in near real time."
Brian Khoury, IoT and Data Architecture Supervisor, XTO Energy
"Embracing the cloud is an important part of that effort because it frees us up from having to manage hardware, storage, servers—all things that aren't our core business—and we can scale and spin up resources as needed."