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Proceedings Papers

Estimating remanent magnetization of Matachewan and Sudbury mafic dikes in the Abitibi greenstone belt from aeromagnetic data

Skye Hart, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4072718
https://doi.org/10.1190/image2024-4072718.1
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View Paper titled, Estimating remanent magnetization of Matachewan and Sudbury mafic dikes in the Abitibi greenstone belt from aeromagnetic data
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Proceedings Papers

Unsupervised compensation of spiral-shaped drone magnetic survey using a recurrent convolutional autoencoder

Brett Bernstein, Yaoguo Li, Richard Hammack, Colton Kohnke
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101634
https://doi.org/10.1190/image2024-4101634.1
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View Paper titled, Unsupervised compensation of spiral-shaped drone magnetic survey using a recurrent convolutional autoencoder
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Proceedings Papers

Simultaneous imaging of basement relief and varying susceptibility in deep-learning approach

Zhuo Liu, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094536
https://doi.org/10.1190/image2024-4094536.1
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View Paper titled, Simultaneous imaging of basement relief and varying susceptibility in deep-learning approach
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Proceedings Papers

Airborne gamma-ray spectrometry inversion signatures of Hicks Dome area

Jessica D. Weihermann, Yaoguo Li, Anne E. McCafferty
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4095159
https://doi.org/10.1190/image2024-4095159.1
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View Paper titled, Airborne gamma-ray spectrometry inversion signatures of Hicks Dome area
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Proceedings Papers

Improvements on airborne gamma-ray spectrometry inversion

Jessica D. Weihermann, Yaoguo Li, Saulo P. Oliveira, Francisco J. F. Ferreira, Adalene M. Silva
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4095607
https://doi.org/10.1190/image2024-4095607.1
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View Paper titled, Improvements on airborne gamma-ray spectrometry inversion
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Proceedings Papers

Geophysics in "gold" hydrogen exploration

Mengli Zhang, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100404
https://doi.org/10.1190/image2024-4100404.1
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Proceedings Papers

Geologic hydrogen: An emerging role of mining geophysics in new energy exploration

Yaoguo Li, Mengli Zhang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100417
https://doi.org/10.1190/image2024-4100417.1
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View Paper titled, Geologic hydrogen: An emerging role of mining geophysics in new energy exploration
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Proceedings Papers

Automated detection of ferromagnetic pipelines from magnetic total-field anomaly data using convolutional neural networks

Brett Bernstein, Yaoguo Li, Richard Hammack
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3912400
https://doi.org/10.1190/image2023-3912400.1
View Paper titled, Automated detection of ferromagnetic pipelines from magnetic total-field anomaly data using convolutional neural networks
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Proceedings Papers

Delineating buried metallic pipes using borehole magnetic data in civil engineering

Hyoungrea Rim, Mengli Zhang, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3909724
https://doi.org/10.1190/image2023-3909724.1
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View Paper titled, Delineating buried metallic pipes using borehole magnetic data in civil engineering
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Proceedings Papers

Ergodic Sampling: A New Data Acquisition Method to Gather More Information

Mengli Zhang, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3899844
https://doi.org/10.1190/image2023-3899844.1
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View Paper titled, Ergodic Sampling: A New Data Acquisition Method to Gather More Information
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Proceedings Papers

Computational geophysical acquisition (CGA) as an enabler of geophysical solutions

Mengli Zhang, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3908538
https://doi.org/10.1190/image2023-3908538.1
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View Paper titled, Computational geophysical acquisition (CGA) as an enabler of geophysical solutions
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Proceedings Papers

Imaging the reservoir permeability from time-lapse electromagnetic data

Taqi Alyousuf, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3744555
https://doi.org/10.1190/image2022-3744555.1
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View Paper titled, Imaging the reservoir permeability from time-lapse electromagnetic data
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Proceedings Papers

Machine learning inversion of time-lapse three-axis borehole gravity data for CO 2 monitoring

Taqi Alyousuf, Yaoguo Li, Richard Krahenbuhl
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745388
https://doi.org/10.1190/image2022-3745388.1
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View Paper titled, Machine learning inversion of time-lapse three-axis borehole gravity data for CO 2 monitoring
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Proceedings Papers

Feasibility of FDEM monitoring at the Kemper CarbonSAFE site

Colton Kohnke, Yaoguo Li, Richard W. Hammack
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746002
https://doi.org/10.1190/image2022-3746002.1
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View Paper titled, Feasibility of FDEM monitoring at the Kemper CarbonSAFE site
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Proceedings Papers

Machine learning inversions incorporating geologic information through variational autoencoder and physics-based neural network

Yaoguo Li, Taqi Alyousuf, Andy McAliley
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746882
https://doi.org/10.1190/image2022-3746882.1
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View Paper titled, Machine learning inversions incorporating geologic information through variational autoencoder and physics-based neural network
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Proceedings Papers

Automated metallic pipeline detection using magnetic data and convolutional neural networks

Brett Bernstein, Yaoguo Li, Richard Hammack
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747530
https://doi.org/10.1190/image2022-3747530.1
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View Paper titled, Automated metallic pipeline detection using magnetic data and convolutional neural networks
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Proceedings Papers

Irregular acquisition design to maximize information: From cross-lines to ergodic sampling

Mengli Zhang, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3729385
https://doi.org/10.1190/image2022-3729385.1
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View Paper titled, Irregular acquisition design to maximize information: From cross-lines to ergodic sampling
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Proceedings Papers

Efficient boundary detection and uncertainty quantification using 1D blocky MT inversion

Kaijun Xu, Yaoguo Li
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584558
https://doi.org/10.1190/segam2021-3584558.1
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View Paper titled, Efficient boundary detection and uncertainty quantification using 1D blocky MT inversion
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Proceedings Papers

Machine learning inversion of geophysical data by a conditional variational autoencoder

W. Anderson McAliley, Yaoguo Li
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594761
https://doi.org/10.1190/segam2021-3594761.1
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View Paper titled, Machine learning inversion of geophysical data by a conditional variational autoencoder
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Proceedings Papers

Magnetic and radiometric signatures applied to exploration of vermiculite mineralized mafic-ultramafic intrusions in Central Brazil

Lucas Portes Ramos, Marcelo Leão-Santos, Yaoguo Li, Eduardo Cavalcanti Campos
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3594875
https://doi.org/10.1190/segam2021-3594875.1
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View Paper titled, Magnetic and radiometric signatures applied to exploration of vermiculite mineralized mafic-ultramafic intrusions in Central Brazil
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