Application of Optimization Matching Pursuit Base on Particle Swarm to Complex Reservoir of Bohai Bay Basin

Abstract

Summary There are a lot of complex fault blocks in Bohai oilfield. High resolution seismic data is the basis of fine identification of fault system and reservoir. Restricted by the geological conditions and seismic data acquisition or processing method, the seismic data qualities of some oilfields are not fine. In order to obtain high quality seismic data, it is necessary for us to reconstruct seismic data. Matching pursuit (MP) is widely used in seismic signal processing field with its sparsity and flexible adaptability. However, a problem exists in matching pursuit technology: the nonuniqueness of decomposition and the reconstructed profile are lacking in spatial continuation between seismic traces because of the seismic data noise. What’s more, the conventional matching pursuit involves enormous computational cost. In order to overcome these shortcomings of conventional matching pursuit algorithm, this paper presents the optimization matching pursuit base on improved particle swarm. The first step is to use the seismic data filtering technology based on wavelet transform and singular value decomposition to filter out noise and increase the quality and resolution of seismic data. The second step is to utilize optimization matching pursuit decomposition technology base on improved particle swarm method to decompose and reconstruct seismic data.