西安石油大学学报（自然科学版）2024，Vol.39Issue(4)：98-107,10.DOI:10.3969/j.issn.1673-064X.2024.04.014
基于模型熵处理的泥浆脉冲信号去噪方法研究
Research on Denoising Method of Mud Pulse Signal Based on Model Entropy Processing
摘要
Abstract
Mud positive pulse transmission technology is widely used in oil drilling,but positive pulse mud signal contains a lot of noise,among which pump noise is the main source of noise.Not only does the pump noise completely cover useful signal in time do-main,but also causes spectrum aliasing in frequency domain.Based on the characteristics of strong pump noise,a state space model of pump noise(linear time-invariant model)was established,the outliers of pump noise is removed by introducing the maximum correla-tion entropy criterion,and the pump noise is reconstructed and filtered using the standard Kalman filter based on entropy processing.In addition,in order to process the signals in real time,the residual random noise after removing pump noise is filtered by stochastic reso-nance principle.At the same time,the positive pulse mud signals with different SNR at steady/unsteady pump noise state are simulated,and the noise suppression ability of the scheme is analyzed and evaluated.The results show that the proposed scheme can suppress or e-ven remove the steady/unsteady pump noise in the original signals,and the signal-to-noise ratio of the signals can be increased by about 5～24 dB.关键词
石油钻探/随钻测量/泥浆正脉冲信号/泵噪声模型/标准卡尔曼滤波/随机共振Key words
oil drilling/measurement while drilling/positive pulse mud signal/pump noise model/standard Kalman filter/stochastic resonance分类
能源科技引用本文复制引用
赵雪阳,任旭虎,鄢志丹,牛露燕,由郑..基于模型熵处理的泥浆脉冲信号去噪方法研究[J].西安石油大学学报（自然科学版）,2024,39(4):98-107,10.基金项目
国家自然科学基金(52075546) （52075546）
