June 2 ENERXICO Webinar: Energy Subsurface Exploration with HPC

The ENERXICO project, a Europe-Mexico collaboration to develop performance simulation tools requiring exascale HPC and data intensive algorithms for energy sources, will conduct an online webinar on Wednesday, June 2 from 2:30-5 pm CEST. Registration is here: https://bit.ly/3y0W6w7 The webinar will focus on high-performance computing as an enabling technology for subsurface exploration, outlining developments both in HPC […]

Determining Where & How to Adopt Machine Learning Technology

The is the final 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 for help determining where and how to adopt machine learning technology in your business. 

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. 

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.”

Machine Learning in Energy: A Hot Spot in Seismic Processing

Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs.  Download the new insideHPC special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies. 

Faster and More Accurate Exploration using Shared Storage with Parallel Access

This very interesting whitepaper explains how selecting a proper parallel file system for your application can increase the performance of complex simulations and reduce time to completion.