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Improving the Efficiency of Microseismic Imaging with Particle Swarm Optimization
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 5
Abstract
The efficiency of location methods is crucial for real-time microseismic monitoring. Migration-based methods can detect and locate very weak microseismic events, but they generally require more processing time and memory space than traveltime inversion. We propose to improve the efficiency of microseismic imaging methods with the particle swarm optimization algorithm, which is a stochastic population-based nonlinear optimization algorithm that can rapidly converge toward the optimum. In this work, we utilize the diffraction stacking operator and the cross-correlation stacking operator with the particle swarm optimization algorithm. The results of numerical and field data examples show that the proposed method can accelerate the imaging process without requiring additional memory space.