Eiagrid: In-Field Optimization Of Seismic Data Acquisition By Real-Time Subsurface Imaging Using A Remote Grid Computing Environment

The constant growth of contaminated sites, the unsustainable use of natural resources, and, last but not least, the hydrological risk related to extreme meteorological events and increased climate variability are major environmental issues today. Finding solutions for these complex problems requires an integrated cross-disciplinary approach, providing a unified basis for environmental science and engineering. In computer science, grid computing is emerging worldwide as a formidable tool allowing distributed computation and data management with administratively-distant resources. Utilizing these modern high performance computing technologies, the GRIDA3 project bundles several applications from different fields of geoscience aiming to support decision making for reasonable and responsible land use and resource management. In this abstract we present the geophysical application of the GRIDA3 project named EIAGRID. As illustarted in Figure 1, it aims at supporting environmental research by enabling the use of grid computing facilities to provide real-time subsurface imaging directly during data acquisition. Furthermore, shared data storage using georeferencing tools and data grid technology facilitates acquisition design, workflow construction and the interpretation of results.