Energy Estimation Tool FPGA-based Approach for Petroleum Industry

Energy consumption is one of the great villains in high-performance processing when applied to large clusters that continuously run certain applications. Seismic migration applications are targets of this type of processing, since this feature denotes a need to apply complex models that are continuously run to evaluate drilling of petroleum wells. This work describes an analysis tool of energy consumption of a seismic application applied to FPGA architecture for a real Brazilian industry. A comparative study with the traditional multi-core and with GPGPU architectures is performed and results indicate an increase in efficiency/Joule of about 23 and 1.5 times higher respectively. Experiments performed with the Marmousi model revels an error about 3.7% when compared with measured values.