Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Computing Environments Options for Energy Exploration and Monitoring

This is the fourth entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn more about computing environments options for energy exploration and monitoring. 

Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity

This is the third entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how edge computing is playing a role in operating drilling rigs, ensuring pipeline integrity and more. 

Energy Companies Embrace Deep Learning for Inspections, Exploration & More

This is the second entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how energy companies are embracing deep learning for inspections, exploration and more. 

Video: Dell EMC Innovation for the Oil & Gas industry

In this video from the Dell EMC HPC Community Meeting in Austin, David Holmes from Dell EMC describes how the company is bringing technical innovation to the Oil & Gas industry. “We partner strongly with Intel and Nvidia and we take advantage of Intel Xeon scalable processes, Intel Xeon Phi processors, and Nvidia GPUs. And depending on the workloads, different computational requirements will run best on these different platforms. And we’re now able to help companies build this new breed of composable systems, which provide a broad set of resources that can be dynamically assigned to the different workloads that companies want to run.”

Opportunities Abound: HPC and Machine Learning for Energy Exploration

The is the first entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to find out how machine learning is driving energy exploration. “Any tool that reduces the time needed to understand where the deposits are located can save a company millions of dollars.”

Video: Convergence of AI & HPC

Thor Sewell from Intel gave this talk at the Rice Oil & Gas conference. “We are seeing the exciting convergence of artificial intelligence and modeling & simulation workflows as well as the movement towards cloud computing and Exascale. This session will cover these significant trends, the technical challenges that must be overcome, and how to prepare for this next level of computing.”

Video: HPC Reservoir Simulations on AWS with NICE

In this video, Scott Harrison from Rock Flow Dynamics and Bruno Franzini from NICE Software explain how they scale HPC workloads in the cloud. “You’ll learn how they leverage Amazon EC2 Spot instances and Amazon S3 to create cost-effective, scalable clusters that power tNavigator, Rock Flow Dynamics’ solution for running dynamic reservoir simulations. You’ll also see how they use NICE Software’s DCV to stream the OpenGL-based user interface to interact with 3D models.”

Eni in Italy fires up 5.8 Petaflop HPC3 Cluster for Oil & Gas

During the first week of April, Eni fired up its new HPC cluster in the Green Data Center in Ferrera Erbognone, Italy. Known as HPC3, the new 5.8 Petaflop cluster will allow Eni to fully support all the activities in the Energy Exploration and Production sector. “The start-up of the new HPC3 supercomputer and its follow-on HPC4 will enable Eni to deploy the most advanced and sophisticated proprietary codes developed by our research for the E&P activities,” said Eni CEO Claudio Descalzi. “These technologies will provide Eni with unprecedented accuracy and resolution in seismic imaging, geological modeling and reservoir dynamic simulation, allowing us to further accelerate overall cycle times in the upstream process and to sustain the E&P performances.”

Emerson Roxar Applies ebb3 Remote Visualization for Oil & Gas

Today UK-based ebb3 announced that Emerson Automation Solutions is deploying high-performance software for the oil and gas industry virtually using ebb3’s remote visualization technology. “The Roxar reservoir management software has to handle very large models, and many models simultaneously for uncertainty analysis,” Robert Frost, Product Development Manager at Emerson. “The more refined these are, the more graphical processing is required. This is one of the most challenging areas of virtualization, and virtual desktops with the power to support such high-powered graphics are almost unheard of. Along with the platform and partnership services that ebb3 provides, the power they’ve harnessed for virtual access to 3D visualization software is impressive. Being able to keep data in the data centre for fast access without compromising visualization and usability is a huge step forward.”

Registration Opens for Rice Oil & Gas HPC Conference

Registration is now open for the 2017 Rice Oil & Gas HPC Conference. The event takes place March 15-16 in Houston, Texas. “Join us for the 10th anniversary of the Rice Oil & Gas HPC Conference. OG HPC is the premier meeting place for networking and discussion focused on computing and information technology challenges and needs in the oil and gas industry.”