GX Selects Gear6

MOUNTAIN VIEW, Calif. -- Gear6, accelerating storage for real time application performance, today announced that GX Technology (GXT), a leading provider of advanced seismic imaging solutions to oil and gas companies worldwide, is deploying its CACHEfx scalable caching appliances to accelerate strategic seismic data processing applications and streamline infrastructure management. The Gear6 centralized storage caching solution, which integrated transparently into GXTs infrastructure, helps to streamline and significantly reduce the turnaround time for projects that rely on these input/output intensive applications. With thousands of processing nodes and nearly a petabyte of seismic storage, the demanding GXT data and application environment showcases the ability of CACHEfx appliances to power extremely large workloads and data sets.

GXT produces the highest fidelity land and marine subsurface images used to reduce the risk and cost of finding and producing energy resources. With services and products spanning the entire seismic process from survey design to advanced imaging, GXT’s Image-Driven™ solutions include: seismic data processing services such as depth and reverse time migration and full-wave imaging, geophysical analysis, reservoir modeling, and final image rendering. The Houston-based company operates eight regional service centers worldwide as well as advanced imaging centers strategically located in North America, Europe, West Africa and Latin America.

According to Keith Ritchie, senior IT manager with GXT, the company’s imaging projects require a sophisticated computing and storage resource infrastructure that must support random access to huge data sets by thousands of simultaneous application servers. “Given the market demand for our seismic services and the data intensity of each project, rapid cycle times and high resource utilization are paramount. For certain applications, our productivity was constrained by a network attached storage infrastructure that could not deliver enough data across the network. This required manual data replication and limited the number of simultaneous resources we could utilize on a single project,” said Ritchie.

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