6th International Conference & Exposition on Petroleum Geophysics “Kolkata 2006” (1257) Parallel 2D Pre-Stack Imaging On PARAM Padma

Obtaining high-resolution images of the underground geological structures using seismic reflection data in prestack or poststack domain is crucial for exploration of oil and gas deposits. In petroleum industry, seismic migration is one of the most compute intensive steps in seismic data processing sequence. It accurately images the reflected and diffracted energy and aids in delineating the structural features of the underground geological formations. Migration techniques are highly compute and input/output (I/O) intensive and therefore requires high performance computing. In the last decade the development of parallel distributed computing platforms, related system software and programming environments have made it possible to use parallel codes for high resolution imaging. Centre for Development of Advanced Computing (C-DAC), Pune has developed the OpenFrame architecture for scalable parallel computing applications. Various seismic migration algorithms have been developed and implemented for imaging purposes. In this presentation we will discuss the parallel implementation achieved on C-DAC’s PARAM Padma platform for two totally different 2D pre-stack migration algorithms. In both cases parallelisation has been done using MPI message passing environment and MPI I/O for parallel file reading and writing. The first algorithm is Finite difference based depth migration in frequency- space domain (ω-x depth migration) and the second one is based on integral or summation approach migration in time (Kirchhoff time migration). The benchmarking results for both the algorithm clearly shows that large-scale problems can be solved by implementation of highly efficient and scalable codes. These codes can be easily ported across cluster of workstations