Time-lapse seismic inversion based on parallel simulated annealing using genetic algorithm

Parallel simulated annealing based on genetic algorithm is applied in the time-lapse seismic inversion in this paper. The seismic-derived estimates of reservoir properties estimates are often obtained from time-lapse impedance estimates, it is important to achieve reliable time-lapse impedance models through time-lapse data inversion. For solving time-lapse seismic reservoir monitoring more efficiently, simulated annealing is applied to the inversion technique of time-lapse seismic. The time-lapse seismic uses multiple seismic surveys acquired at different times, so the seismic data in the time-lapse seismic is extraordinary huge. Parallel simulated annealing based on genetic algorithm is studied in this paper; it can proceed from many points simultaneously and independently, and periodically reconcile solutions. The parallel algorithm and the parallel implements model using MPI and JINI technology is described.