Efficient Seismic Data Interpolation Using Deep Convolutional Networks and Transfer Learning

Mapping Intimacies ◽

10.3997/2214-4609.201900768 ◽

2019 ◽

Author(s):

Y. Xiong ◽

J. Cheng

Keyword(s):

Transfer Learning ◽

Seismic Data ◽

Data Interpolation ◽

Convolutional Networks

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Research on Seismic Data Interpolation and Reconstruction

Journal of Physics Conference Series ◽

10.1088/1742-6596/1631/1/012110 ◽

2020 ◽

Vol 1631 ◽

pp. 012110

Author(s):

Xiaoguo Xie ◽

Shuling Pan ◽

Bing Luo ◽

Cailing Chen ◽

Kai Chen

Keyword(s):

Seismic Data ◽

Data Interpolation

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Efficient progressive transfer learning for full waveform inversion with extrapolated low-frequency reflection seismic data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3129810 ◽

2021 ◽

pp. 1-1

Author(s):

Yuchen Jin ◽

Wenyi Hu ◽

Shirui Wang ◽

Yuan Zi ◽

Xuqing Wu ◽

...

Keyword(s):

Transfer Learning ◽

Seismic Data ◽

Waveform Inversion ◽

Low Frequency ◽

Full Waveform Inversion ◽

Reflection Seismic ◽

Full Waveform

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Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8518097 ◽

2018 ◽

Author(s):

David Malmgren-Hansen ◽

Allan Aasbjerg Nielsen ◽

Valero Laparra ◽

Gustau Camps- Valls

Keyword(s):

Transfer Learning ◽

Atmospheric Parameter ◽

Convolutional Networks ◽

Parameter Retrieval

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Deep Learning Applied to Seismic Data Interpolation

80th EAGE Conference and Exhibition 2018 ◽

10.3997/2214-4609.201800918 ◽

2018 ◽

Cited By ~ 1

Author(s):

A. Mikhailiuk ◽

A. Faul

Keyword(s):

Deep Learning ◽

Seismic Data ◽

Data Interpolation

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A comparative study of transfer learning methodologies and causality for seismic inversion with temporal convolutional networks

10.1190/segam2021-3583111.1 ◽

2021 ◽

Author(s):

Ahmad Mustafa ◽

Ghassan AlRegib

Keyword(s):

Comparative Study ◽

Transfer Learning ◽

Seismic Inversion ◽

Convolutional Networks

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Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks

10.5220/0010602200002992 ◽

2021 ◽

Author(s):

Pasquale Ardimento ◽

Lerina Aversano ◽

Mario Bernardi ◽

Marta Cimitile ◽

Martina Iammarino

Keyword(s):

Transfer Learning ◽

Just In Time ◽

Convolutional Networks ◽

Design Smells

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A Self-Evolving CNN Framework for Seismic Data Interpolation

10.3997/2214-4609.202011266 ◽

2020 ◽

Author(s):

Y. Wang ◽

W. Lu

Keyword(s):

Seismic Data ◽

Data Interpolation

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Salt Segmentation with Fully Convolutional Networks and Transfer Learning

First EAGE Workshop on High Performance Computing for Upstream in Latin America ◽

10.3997/2214-4609.201803083 ◽

2018 ◽

Author(s):

P. M. Cruz ◽

J. P. Navarro

Keyword(s):

Transfer Learning ◽

Convolutional Networks ◽

Fully Convolutional Networks

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Shaping Regularization-Based Inversion for Robust Seismic Data Interpolation

10.3997/2214-4609.201901008 ◽

2019 ◽

Author(s):

W. Huang

Keyword(s):

Seismic Data ◽

Data Interpolation

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Color Quantization in Transfer Learning and Noisy Scenarios: An Empirical Analysis Using Convolutional Networks

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) ◽

10.1109/sibgrapi.2018.00055 ◽

2018 ◽

Author(s):

Tiago Santana de Nazare ◽

Gabriel de Barros Paranhos da Costa ◽

Rodrigo Fernandes de Mello ◽

Moacir Antonelli Ponti

Keyword(s):

Transfer Learning ◽

Empirical Analysis ◽

Color Quantization ◽

Convolutional Networks

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