The noise at the well site mainly comes from various equipment at the drilling site,which seriously affects various measuring instruments.In order to reduce the impact of well site noise on logging instruments and meas-urement systems,an Independent Component Analysis(ICA)algorithm based on Particle Swarm Optimization(PSO)is adopted to process well site noise based on existing research on the statistical characteristics of well site noise.ICA algo-rithm is a signal processing technique based on statistical characteristics,which can achieve signal separation and has certain feasibility in noise processing.By using the POS algorithm,the speed and position of the particle swarm can be adaptively adjusted to search the solution space more widely,thereby more accurately determining the weights of various types of noise.The simulation results show that the PSO-ICA algorithm can effectively separate various types of noise and optimize the weight values of each type of noise.
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