CO2 storage monitoring based on time-lapse seismic data via deep learning

Author:

Li DongORCID,Peng Suping,Guo Yinling,Lu Yongxu,Cui Xiaoqin

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,General Energy,Pollution

Reference32 articles.

1. Deep-learning tomography;Araya-Polo;Proc. Int. Conf. Lead. Edge Manuf. 21st Century Lem21,2018

2. Stochastic inversion method of time-lapse controlled source electromagnetic data for CO2 plume monitoring;Ayani;Int. J. Greenh. Gas Con,2020

3. Prestack and poststack inversion using a physics-guided convolutional neural network;Biswas;Interpretation.,2019

4. Improving deep neural networks for LVCSR using rectified linear units and dropout;Dahl;Proc. IEEE Int. Conf. Acoust. Speech Signal Process.,2013

5. Time-lapse full waveform inversion of vertical seismic profile data: workflow and application to the CO2CRC Otway project;Egorov;Geophys. Res. Lett.,2017

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