A review and appraisal of arrival-time picking methods for downhole microseismic data

J Akram, DW Eaton - Geophysics, 2016 - library.seg.org
We have evaluated arrival-time picking algorithms for downhole microseismic data. The
picking algorithms that we considered may be classified as window-based single-level …

Automatic microseismic event picking via unsupervised machine learning

Y Chen - Geophysical Journal International, 2020 - academic.oup.com
Effective and efficient arrival picking plays an important role in microseismic and earthquake
data processing and imaging. Widely used short-term-average long-term-average ratio …

[HTML][HTML] 基于U-Net 的井中多道联合微地震震相识别和初至拾取方法

张逸伦, 喻志超, 胡天跃, 何川 - 地球物理学报, 2021 - html.rhhz.net
微地震震相识别和初至拾取是水力压裂微地震监测资料处理中的两个关键步骤,
其结果会对后续事件定位和压裂裂缝缝网解释产生重要影响. 常规方法如STA/LTA 法 …

First-arrival picking with a U-net convolutional network

L Hu, X Zheng, Y Duan, X Yan, Y Hu, X Zhang - Geophysics, 2019 - library.seg.org
In exploration geophysics, the first arrivals on data acquired under complicated near-surface
conditions are often characterized by significant static corrections, weak energy, low signal …

Improved modified energy ratio method using a multi-window approach for accurate arrival picking

M Lee, J Byun, D Kim, J Choi, M Kim - Journal of Applied Geophysics, 2017 - Elsevier
To identify accurately the location of microseismic events generated during hydraulic
fracture stimulation, it is necessary to detect the first break of the P-and S-wave arrival times …

Reverse time migration of acoustic waves for imaging based defects detection for concrete and CFST structures

H Liu, H Xia, M Zhuang, Z Long, C Liu, J Cui… - … Systems and Signal …, 2019 - Elsevier
Ultrasonic non-destructive testing (NDT) technology has been widely used for defect
inspection of concrete structures in civil engineering. However, most of the current data …

[HTML][HTML] SegNet-based first-break picking via seismic waveform classification directly from shot gathers with sparsely distributed traces

SY Yuan, Y Zhao, T Xie, J Qi, SX Wang - Petroleum Science, 2022 - Elsevier
Manually picking regularly and densely distributed first breaks (FBs) are critical for shallow
velocity-model building in seismic data processing. However, it is time consuming. We …

A new method of low amplitude signal detection and its application in acoustic emission

E Agletdinov, D Merson, A Vinogradov - Applied sciences, 2019 - mdpi.com
Featured Application Acoustic emission signal detection, seismology, ultrasonic inspections,
non-destructive condition monitoring. Abstract A novel methodology is proposed to enhance …

Automatic first arrival picking via deep learning with human interactive learning

KC Tsai, W Hu, X Wu, J Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
First break picking is an inevitable process in land seismic data processing, which involves a
huge amount of human labor to perform. Even after decades of investigation on the first …

Low-frequency noise attenuation in seismic and microseismic data using mathematical morphological filtering

W Huang, R Wang, S Zu, Y Chen - 2017 - academic.oup.com
Low-frequency noise is one of the most common types of noise in seismic and microseismic
data. Conventional approaches, such as the high-pass filtering method, utilize the low …