Random noise in seismic records affects the accuracy of effective signal identification,
making it difficult for subsequent seismic data processing, imaging, and interpretation …

Random noise attenuation is an essential step in seismic data processing for improving
seismic data quality and signal‐to‐noise ratio. We adopt an unsupervised machine learning …

Random noise is unavoidable in seismic prospecting. Conventional random noise
suppression methods will damage nonstationary seismic signals with characteristics of time …

随机噪声的影响在地震勘探中是不可避免的, 常规的随机噪声压制方法在处理中往往会破坏具有
时空变化特征的非**稳有效地震信号, 影响地震数据的准确成像. 当前油气勘探的目标已经转变 …

Prediction filtering is one of the most commonly used random noise attenuation methods in
the industry; however, it has two drawbacks. First, it assumes that the seismic signals are …

Absorption compensation is a process involving the exponential amplification of reflection
amplitudes. This process amplifies the seismic signal and noise, thereby substantially …

At present, most signal-to-noise ratio (SNR) estimation methods can only calculate the
global and not the local SNR of seismic data. This paper proposes a calculation method of a …

The traditional prediction filtering has two defects: one is the method assumes that the
seismic signal is piecewise stationary and linear. However, the seismic signal exhibits …