A deep learning approach to separating scattered direct waves from reflection seismic records on rugged surface: Synthetic data examples (English)
- New search for: Gong, Rui
- New search for: Wang, Yingying
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- New search for: Gong, Rui
- New search for: Wang, Yingying
- New search for: Geng, Jianhua
In:
Geophysical Prospecting
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72
, 1
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20-34
;
2024
- Article (Journal) / Electronic Resource
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Title:A deep learning approach to separating scattered direct waves from reflection seismic records on rugged surface: Synthetic data examples
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Contributors:
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Published in:Geophysical Prospecting ; 72, 1 ; 20-34
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Publisher:
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Publication date:2024-01-01
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Size:15 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 72, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Issue Information| 2024
- 3
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Introduction to special issue on machine learning applications in geophysical exploration and monitoringWaheed, Umair bin / Di, Haibin / Sun, Jiajia / Angus, Doug et al. | 2024
- 7
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Deep learning unflooding for robust subsalt waveform inversionAlali, Abdullah / Kazei, Vladimir / Kalita, Mahesh / Alkhalifah, Tariq et al. | 2024
- 20
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A deep learning approach to separating scattered direct waves from reflection seismic records on rugged surface: Synthetic data examplesGong, Rui / Wang, Yingying / Geng, Jianhua et al. | 2024
- 35
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De‐migration‐based supervised learning for interpolation and regularization of 3D offset classesHlebnikov, Volodya / Greiner, Thomas Andre Larsen / Vinje, Vetle / Lie, Jan Erik / Poole, Gordon et al. | 2024
- 52
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Full waveform inversion based on inversion network reparameterized velocityJiang, Peng / Wang, Qingyang / Ren, Yuxiao / Yang, Senlin / Li, Ningbo et al. | 2024
- 68
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Deghosting dual‐component streamer data using demigration‐based supervised learningde Jonge, Thomas / Vinje, Vetle / Poole, Gordon / Zhao, Peng / Iversen, Einar et al. | 2024
- 92
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Deep learning framework for true amplitude imaging: Effect of conditioners and initial modelsKaur, Harpreet / Sun, Junzhe / Aharchaou, Mehdi / Baumstein, Anatoly / Fomel, Sergey et al. | 2024
- 107
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Seismic impedance inversion using a multi‐input neural network with a two‐step training strategyMeng, Jinyu / Wang, Shoudong / Niu, Guohua / Sang, Wenjing / Geng, Weiheng / Cheng, Wanli et al. | 2024
- 125
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Seismic data augmentation for automatic fault picking using deep learningPham, Nam / Fomel, Sergey et al. | 2024
- 142
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Improving signal fidelity for deep learning‐based seismic interference noise attenuationSun, Jing / Hou, Song et al. | 2024
- 155
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Automated well log depth matching: Late fusion multimodal deep learningTorres Caceres, Veronica Alejandra / Duffaut, Kenneth / Yazidi, Anis / Westad, Frank / Johansen, Yngve Bolstad et al. | 2024
- 183
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Deep learning multiphysics network for imaging CO2 saturation and estimating uncertainty in geological carbon storageUm, Evan Schankee / Alumbaugh, David / Commer, Michael / Feng, Shihang / Gasperikova, Erika / Li, Yaoguo / Lin, Youzuo / Samarasinghe, Savini et al. | 2024
- 199
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Real‐time deep‐learning inversion of seismic full waveform data for CO2 saturation and uncertainty in geological carbon storage monitoringUm, Evan Schankee / Alumbaugh, David / Lin, Youzuo / Feng, Shihang et al. | 2024
- 213
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Deblending of seismic data in the wavelet domain via a convolutional neural network based on data augmentationWang, Shaowen / Song, Peng / Tan, Jun / Xia, Dongming / Du, Guoning / Wang, Qianqian et al. | 2024
- 229
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High‐efficiency and high‐precision seismic trace interpolation for irregularly spatial sampled data by combining an extreme gradient boosting decision tree and principal component analysisWu, Shuliang / Wang, Benfeng / Zhao, Luanxiao / Liu, Huaishan / Geng, Jianhua et al. | 2024
- 247
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Ground roll intelligent suppression based on spatial domain synchrosqueezing wavelet transform convolutional neural networkXing, Lei / Lin, Haoran / Wang, Linfei / Xu, Zhenqiang / Liu, Huaishan / Li, Qianqian et al. | 2024
- 268
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Stochastic inversion of time‐lapse electrical resistivity tomography data by means of an adaptive ensemble‐based approachVinciguerra, Alessandro / Aleardi, Mattia / Madsen, Line Meldgaard / Bording, Thue Sylvester / Christiansen, Anders Vest / Stucchi, Eusebio et al. | 2024
- 285
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A comparison of deep and shallow models for the detection of induced seismicityGoel, Akshat / Gorse, Denise et al. | 2024