Hue's VP Strategy & Alliances, Michele Isernia, is speaking at the 2016 Rice Oil & Gas HPC Conference.
Thursday, March 3, 11:10am - 11:30am
Big Seismic Data: Increase Performance for HPC & Interpretation and Reduce Infrastructure Cost
Oil companies and service companies amass seismic data at the rate of hundreds of terabytes or petabytes per year. Driven by an increase in resolution and new acquisition methods, seismic data sets are larger than ever before. As a consequence, data storage system sales is the fastest growing segment according to official numbers.
Another consequence is that the internal networks quickly become a bottleneck. As users require access to increasingly larger datasets, whether pre-stack or post-stack, networks are constantly overloaded. We will present a new software-based approach to significantly improve storage capacity and simultaneously increase effective network bandwidth between central storage and consumers of seismic data.
The described approach does not require upgrades or modifications to hardware, and thus enables the oil company or service company to leverage previous investments. Compared to commonly available commercial software, Hue’s implementation is approximately 25 times faster on compression and more than 200 times faster on decompression. This speed ensures that the overhead of compression and decompression is minimized. In fact, it becomes a lot faster to access compressed data than the original data, providing a significant I/O boost to any application using the compressed data. As will be described, the proposed approach is generally transparent to end users.
Meet at RICE
Contact Michele if you want to meet at RICE or you want to learn more about this approach.
Phone: +1 970-231-9716
Event Location: BioScience Research Collaborative (BRC) Building, Rice University, 6500 Main St, Houston, Texas 77030