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Ehsan Zabihi Naeini
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Proceedings Papers

Case study of facies-based FWI for transversely isotropic media

Sagar Singh, Ilya Tsvankin, Ehsan Zabihi Naeini
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3568032
https://doi.org/10.1190/segam2021-3568032.1
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View Paper titled, Case study of facies-based FWI for transversely isotropic media
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Proceedings Papers

Facies prediction with Bayesian inference using supervised and semisupervised deep learning

Sagar Singh, Ilya Tsvankin, Ehsan Zabihi Naeini
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579316
https://doi.org/10.1190/segam2021-3579316.1
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View Paper titled, Facies prediction with Bayesian inference using supervised and semisupervised deep learning
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Proceedings Papers

Deep learning for salt body detection applied to 3D Gulf of Mexico data

Benjamin Consolvo, Ehsan Zabihi Naeini, Paul Docherty
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3417484
https://doi.org/10.1190/segam2020-3417484.1
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View Paper titled, Deep learning for salt body detection applied to 3D Gulf of Mexico data
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Proceedings Papers

A machine learning approach to quantitative interpretation

Ehsan Zabihi Naeini
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216138
https://doi.org/10.1190/segam2019-3216138.1
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Proceedings Papers

Bayesian approach to facies-constrained waveform inversion for VTI media

Sagar Singh, Ilya Tsvankin, Ehsan Zabihi Naeini
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3214511
https://doi.org/10.1190/segam2019-3214511.1
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View Paper titled, Bayesian approach to facies-constrained waveform inversion for VTI media
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Proceedings Papers

An Integrated Deep Learning Solution for Petrophysics, Pore Pressure, and Geomechanics Property Prediction

Ehsan Zabihi Naeini, Sam Green, Marianne Rauch-Davies
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-111-MS
https://doi.org/10.15530/urtec-2019-111
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View Paper titled, An Integrated Deep Learning Solution for Petrophysics, Pore Pressure, and Geomechanics Property Prediction
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Proceedings Papers

Quantitative interpretation using facies-based inversion applied to the Ordovician Red River U4 dolomite interval, Williston Basin

Paul El Khoury, Ehsan Zabihi Naeini, Thomas L. Davis
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2987218
https://doi.org/10.1190/segam2018-2987218.1
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View Paper titled, Quantitative interpretation using facies-based inversion applied to the Ordovician Red River U4 dolomite interval, Williston Basin
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Proceedings Papers

Full-waveform inversion for reservoir characterization: A synthetic study

Nishant Kamath, Ilya Tsvankin, Ehsan Zabihi Naeini
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17790540
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View Paper titled, Full-waveform inversion for reservoir characterization: A synthetic study
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Proceedings Papers

Multiparameter Elastic Full Waveform Inversion With Facies Constraints

Zhen-dong Zhang, Tariq Alkhalifah, Ehsan Zabihi Naeini
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17672943
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View Paper titled, Multiparameter Elastic Full Waveform Inversion With Facies Constraints
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Proceedings Papers

Quantitative interpretation using facies-based seismic inversion

Ehsan Zabihi Naeini, Russell Exley
Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13709660
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View Paper titled, Quantitative interpretation using facies-based seismic inversion
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Proceedings Papers

Broadband Seismic Well-tie And Data Conditioning For Quantitative Interpretation

Ehsan Zabihi Naeini
Paper presented at the Offshore Technology Conference, May 4–7, 2015
Paper Number: OTC-25749-MS
https://doi.org/10.4043/25749-MS
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View Paper titled, Broadband Seismic Well-tie And Data Conditioning For Quantitative Interpretation
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Proceedings Papers

Image- and Horizon-guided Interpolation

Ehsan Zabihi Naeini, Dave Hale
Paper presented at the 2014 SEG Annual Meeting, October 26–31, 2014
Paper Number: SEG-2014-1083
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