The Reconstruction of Seismic Reflection Events by Optimized Matching Pursuit Algorithm

This paper mainly introduces an optimized matching pursuit algorithm for the reconstruction of seismic reflection events. It adopts intelligent optimization algorithms of genetic algorithm (GA) and particle swarm algorithm (PSO) to matching pursuit algorithm for improving the processing effect and efficiency. Through experiments on synthetic seismic records and field seismic data, it demonstrates that both GA-MP and PSO-MP can reconstruct the reflection events effectively and efficiency, while PSO-MP performs better especially in waveform reconstruction.