CAJ | 학술논문

地震勘探领域中，采集的地震记录中往往混有抽油机噪声，严重干扰地震有效信号。针对该问题，提出一种基于最大信噪比( SNR)盲源分离( BSS)的抽油机噪声压制方法。该方法采用盲源分离的原理，结合地震数据信噪模型，分离出地震有效信号及抽油机噪声。模型试算与实际资料应用表明，该方法能够对抽油机噪声进行有效压制，提高地震资料的信噪比，为后续的地震资料处理提供了基础保障。
지진감탐영역중，채집적지진기록중왕왕혼유추유궤조성，엄중간우지진유효신호。침대해문제，제출일충기우최대신조비( SNR)맹원분리( BSS)적추유궤조성압제방법。해방법채용맹원분리적원리，결합지진수거신조모형，분리출지진유효신호급추유궤조성。모형시산여실제자료응용표명，해방법능구대추유궤조성진행유효압제，제고지진자료적신조비，위후속적지진자료처리제공료기출보장。
In seismic exploration, seismic data are usually mixed with the noise from pumping units, which will seriously interfere with effective seismic signals. To address this issue, a method for noise suppression of pumping units, which is based on Blind Source Separation ( BSS ) of maximum Signal-to-Noise Ratio ( SNR ) algorithm, was proposed. This method can separate effective seismic data with the noise from pumping units based on the fundamentals of BSS and seismic signal-noise models. The applications of model and seismic data show that it can, not only suppress the noise from pumping units, but also improve the SNR of seismic data, thus offering a solid base for subsequent seismic data processing.