Microseismic technology is widely used in unconventional oil and gas production.
Microseismic noise reduction is of great significance for the identification of microseismic …

Low-frequency (LF) signal content in seismic data as well as a realistic initial model are key
ingredients for robust and efficient full-waveform inversions (FWIs). However, acquiring LF …

For surface microseismic monitoring, determination of the P‐wave first‐motion polarity is
important because (1) it has been widely used to determine focal mechanisms and (2) the …

Seismic data may suffer from too severe noise contamination to carry out further processing
and interpretation procedure. In the paper, a new scheme was proposed based on the …

Microseismic signal reconstruction from complex nonrandom noise is challenging,
especially when the signal is disrupted or completely covered by strong field noise. Various …

The presence of strong surface-wave noise in surface microseismic data may decrease the
utility of these data. We implement a technique, based on the distinct characteristics that …

The existence of strong random noise in surface microseismic data may decrease the utility
of these data. Non‐subsampled shearlet transform can effectively suppress noise by …

Noise is a persistent feature in seismic data and so poses challenges in extracting increased
accuracy in seismic images and physical interpretation of the subsurface. In this paper, we …

摘要震源参数反演是微地震监测中的关键技术, 常规走时或逆时定位方法可以快速获取震源的
空间位置, 但是会忽略震源的时间信息. 全波形反演(FWI) 是一种有效的工具 …

Microseismic datasets typically have relatively low signal‐to‐noise ratio waveforms. To that
end, several noise suppression techniques are often applied to improve the signal‐to‐noise …