Novel hybrid artificial neural network based autopicking workflow for passive seismic data-Reference-Cited by-同舟云学术

Novel hybrid artificial neural network based autopicking workflow for passive seismic data

Published:2014-05-25 Issue:4 Volume:62 Page:834-847
ISSN:0016-8025
Container-title:Geophysical Prospecting
language:en
Short-container-title:Geophysical Prospecting

Author:

Maity Debotyam¹,Aminzadeh Fred²,Karrenbach Martin³

Affiliation:

1. Gas Technology Institute; 1700 South Mount Prospect Road Des Plaines Il 60018

2. Mork Family Department of Chemical Engineering and Materials Science; University of Southern California; 925 Bloom Walk, HED 310 Los Angeles CA 90089-1211

3. SR2020 Inc; 3 Pointe Drive, Suite 212 Brea CA 92821

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/1365-2478.12125/fullpdf

Reference18 articles.

1. Automatic earthquake recognition and timing from single traces;Allen;Bulletin of the Seismological Society of America,1978

2. Adaptive Neural Nets for Generation of Artificial Earthquake Precursors;Aminzadeh;IEEE Transactions on Geoscience and Remote Sensing,1994

3. Aminzadeh F. Maity D. Tafti T. Brouwer F. 2011 Artificial neural network based auto-picker for micro earthquake data st

4. An automatic phase picker for local and teleseismic events;Baer;Bulletin of the Seismological Society of America,1987

5. First arrival picking on common-offset trace collections for automatic estimation of static corrections;Coppens;Geophysical Prospecting,1985

Cited by 58 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on the Initial Arrival Recognition and Judgment Method of Microseismic Signals Based on PELT;Pure and Applied Geophysics;2024-07-17

2. MSSPN: Automatic first-arrival picking using a multistage segmentation picking network;GEOPHYSICS;2024-04-05

3. A simultaneous denoising and event picking approach using supervised machine learning;Third International Meeting for Applied Geoscience & Energy Expanded Abstracts;2023-12-14

4. A regression approach for seismic first-break picking;Petroleum Science;2023-12

5. Machine learning for seismic exploration: Where are we and how far are we from the holy grail?;GEOPHYSICS;2023-11-07