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Using Reduced Order Modeling Algorithm for Reverse Time Migration
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Second EAGE Workshop on High Performance Computing for Upstream, Sep 2015, Volume 2015, p.1 - 5
Abstract
Wave field simulation are needed in many algorithms in seismic data processing. Reverse time migration and full waveform inversion is a couple of this kind of algorithms. Simulation of wave propagation in industrial scale requires huge computational cost. Therefore, an extreme computational cost is the main challenge of reverse time migration and full waveform inversion. This extreme computational cost leads to these algorithms becomes less applicable in industrial scale.
This paper presents the reduced order modeling technique as a very efficient method for reduction of computation in the simulation of wave propagation. We consider the efficiency of this algorithm in the computational cost of the reverse time migration. A small part of 2D SEG/EAGE synthetic model is used for this purpose, and the performance of reduced order modeling technique is compared with application of the conventional finite element algorithm.
The obtained results demonstrate the capability, and accuracy of the reduced order modeling technique for simulation of wave propagation for some cases like reverse time migration that needs many simulations. The efficiency of this method is increased while the number of simulations or time of the simulations is increased.