Center for Computational Geoscience

Schematic of  the Center for Computational Geoscience's dedicated compute facilities

Schematic of the Center for Computational Geoscience’s dedicated compute facilities.

The Center for Computational Geoscience (CCG) maintains a state-of-the-art computing environment in support of various seismological and geophysical research programs, in particular the development of new methods for imaging the subsurface and its processes, and methods for visualizing results.

A wide variety of modern software and hardware is developed and maintained to support this high-level research. In to addition to many “in-house” developed codes (3-d modeling, forward and inverse codes, etc.) a wide variety of commercially supported packages include CogniSeis Focus (interactive 3-D seismic processing), Baker-Atlas SEISLINK (VSP and crosswell imaging), GeoQuest GXII (interactive raytrace modeling for surface and borehole data), Lynx (geologic modeling), Earthvision (Dynamic Graphics) AVS (3-D visualization), and the complete Promax/Landmark Processing and modeling software. These packages provide a powerful modeling base upon which we build our specialized codes.

These facilities support research focused on subsurface imaging using active and passive sources at scales ranging from meters to whole-Earth dimensions. Research activities include the processing and interpretation of Vertical Seismic Profiles (VSP) for fracture detection and fault delineation, induced seismicity associated with energy resources, seismic reflection imaging, single well and cross-hole seismic profiling for 2- and 3-D imaging, fracture detection between wells, and processing/analysis of micro-earthquake data for imaging of geothermal fields. The hardware facilities include multiple Exabyte tape drives, over 200 Gbytes of hard drive storage, a 24″ color Versatec plotter, 36″ HP color plotter, and multiple X-terminals and workstations. We have recently upgraded our computer system to the new SUN “Fire” series 14-CPU server (initial system has 4 CPUs (367 MHz), 4 GByte of memory, and 200 Gbytes of disk). In February of 2001 we added a “pc cluster” with an initial 8 (2 cpu pernode) nodes at 1Ghz and 1 Gbyte per node with anticipated near future expansion to 16 nodes. The CCG facility is linked to the National Energy Research Supercomputing Center at LBNL which hosts a variety of supercomputers available for use.

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