Automatic First Arrival Picking for Seismic Data using Kalman Filter-Reference-Cited by-同舟云学术

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Automatic First Arrival Picking for Seismic Data using Kalman Filter

Published:2023-10-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Symposium on Networks, Computers and Communications (ISNCC)
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Author:

Esmat Muhammad¹,Liu Bo¹,Al-Shaikhi Ali¹,Hanafy Sherif²,Mohandes Mohamed¹,Fekri Faramarz³

Affiliation:

1. King Fahd University of Petroleum and Minerals (KFUPM),Electrical Engineering Department,Dhahran,Saudi Arabia,31261

2. King Fahd University of Petroleum and Minerals (KFUPM),Geosciences Department,Dhahran,Saudi Arabia,31261

3. School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,USA

Funder

King Fahd University of Petroleum and Minerals

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323591/10323546/10323643.pdf?arnumber=10323643

Reference19 articles.

1. PhaseNet: a deep-neural-network-based seismic arrival-time picking method;zhu;Geophysical Journal International,2019

2. Seismic Waveform Classification and First-Break Picking Using Convolution Neural Networks

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

4. Deep Neural Network and Multi-pattern Based Algorithm for Picking First-arrival Traveltimes

5. Automatic Seismic First Arrival Picking With Deep-Learning

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