This is allowing the company to run larger seismic processing jobs, image more complex data, reduce lead time, and obtain higher quality results.
Clients, the company adds, can take advantage of imaging algorithms such as PGS reverse time migration, separated wavefield imaging (SWIM), and wave equation reflectivity inversion.
Guillaume Cambois, PGS executive vice president for Imaging & Engineering, said: “We are very pleased to see the advances achieved by implementing the PGS advanced imaging algorithms and workflows using the Cray supercomputers.
“Adding this second Cray XC system to our compute resources further raises our capability to solve our customers’ geophysical imaging challenges faster, and more accurately.”
The computer is named PGS Galois after French mathematician Évariste Galois (1811-1832). Last year the company took delivery of the Cray XC supercomputer PGS Abel.
Barry Bolding, chief strategy officer at Cray, said: “Today’s most advanced seismic survey datasets encompass many hundreds of terabytes, and gaining insight from this data lies squarely at the convergence of supercomputing and big data.
“The Cray supercomputers allow PGS to quickly process this data into an accurate, clear image of what’s lying underneath the seafloor, through kilometers of varied geology.”