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 first-breaks picking: New strategies and algorithms

JI Sabbione, D Velis - Geophysics, 2010 - library.seg.org
We have developed three methods for the automatic picking of first breaks that can be used
for marine, dynamite, or vibroseis shot records: a modified Coppens's method, an entropy …

The use of wavelet-based denoising techniques to enhance the first-arrival picking on seismic traces

S Gaci - IEEE Transactions on Geoscience and Remote …, 2013 - ieeexplore.ieee.org
Arrival time picking is a critical step in the analysis of geophysical data. This study aims at
improving the standard short-term-average/long-term-average (STA/LTA) method using soft …

[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 …

Identifying P-phase arrivals with noise: An improved Kurtosis method based on DWT and STA/LTA

X Li, X Shang, Z Wang, L Dong, L Weng - Journal of Applied Geophysics, 2016 - Elsevier
A discrete wavelet transform (DWT) and short time average to long time average (STA/LTA)-
based Kurtosis algorithm (WS/LK method) is proposed to pick the arrival time of the P-phase; …

Multitrace first-break picking using an integrated seismic and machine learning method

X Duan, J Zhang - Geophysics, 2020 - library.seg.org
Picking the first breaks from seismic data is often a challenging problem and still requires
significant human effort. We have developed an iterative process that applies a traditional …

Seismic first break picking through swin transformer feature extraction

P Jiang, F Deng, X Wang, P Shuai… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
The application of neural networks to seismic first break (FB) picking research has been
developed for many years. Numerous multitrace FB picking methods based on convolutional …

Using a deep convolutional neural network to enhance the accuracy of first-break picking

Y Hollander, A Merouane, O Yilmaz - SEG International Exposition and …, 2018 - onepetro.org
ABSTRACT A novel approach is presented to identify first breaks on shot gathers, using a
combination of machine learning and traditional attribute based computation. A modern …

Enhancing micro-seismic P-phase arrival picking: EMD-cosine function-based denoising with an application to the AIC picker

X Shang, X Li, A Morales-Esteban, L Dong - Journal of Applied Geophysics, 2018 - Elsevier
Micro-seismic P-phase arrival picking is an elementary step into seismic event location,
source mechanism analysis, and seismic tomography. However, a micro-seismic signal is …