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 …

Some developments and new insights for microseismic/acoustic emission source localization

L Dong, W Zou, D Sun, X Tong, X Li… - Shock and Vibration, 2019 - Wiley Online Library
The purpose of this review is to discuss the development of the methods in
microseismic/acoustic emission (AE) source localization and detail the principles of the …

Cluster-based sensor selection framework for acoustic emission source localization in concrete

S Tayfur, T Zhang, M Mahdi, M Issa, D Ozevin - Measurement, 2023 - Elsevier
The acoustic emission (AE) method can determine the location of damage initiation and
progression in large-scale structures using an array of sensors. As the location accuracy …

An automatic microseismic or acoustic emission arrival identification scheme with deep recurrent neural networks

J Zheng, J Lu, S Peng, T Jiang - Geophysical Journal …, 2018 - academic.oup.com
The conventional arrival pick-up algorithms cannot avoid the manual modification of the
parameters for the simultaneous identification of multiple events under different signal-to …

[HTML][HTML] 微地震数据去噪方法综述

代丽艳, 董宏丽, 李学贵 - 2019 - html.rhhz.net
随着常规油气藏资源不断枯竭, 非常规油气藏的勘探开发已逐渐成为一种必然趋势,
从而使得微地震监测技术快速发展. 微地震事件的发生持续时间短, 声波频率高 …

Seismic noise attenuation using unsupervised sparse feature learning

M Zhang, Y Liu, M Bai, Y Chen - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Noise attenuation plays an important role in seismic data processing. We propose a novel
denoising method for seismic data based on unsupervised sparse feature learning. Our goal …

Automatic high-resolution microseismic event detection via supervised machine learning

S Qu, Z Guan, E Verschuur… - Geophysical Journal …, 2020 - academic.oup.com
Microseismic methods are crucial for real-time monitoring of the hydraulic fracturing dynamic
status during the development of unconventional reservoirs. However, unlike the active …

Joint inversion of source location and focal mechanism of microseismicity

C Liang, Y Yu, Y Yang, L Kang, C Yin… - Geophysics, 2016 - pubs.geoscienceworld.org
The seismic focal mechanism (FM) is an effective property to indicate source physics, as well
as stress and strain distribution in regional, local, and microscales. We have developed an …

Moment tensor migration imaging

K Chambers, BDE Dando, GA Jones… - Geophysical …, 2014 - earthdoc.org
We develop and apply an imaging procedure for simultaneous location and characterization
of seismic source properties called Moment Tensor Migration Imaging. The procedure …

Downhole microseismic signal denoising via empirical wavelet transform and adaptive thresholding

J Li, Y Li, Y Li, Z Qian - Journal of Geophysics and Engineering, 2018 - academic.oup.com
Downhole microseismic data have the characteristics of low signal-to-noise ratio and high
frequency, which pose a major challenge to noise attenuation. In this paper, we propose a …