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Proceedings Papers

Feasibility Study of Electromagnetic Telemetry System for Offshore Drilling

Shubin Zeng, Tauseef Ashraf, Jun Zhang, Yueqin Huang, Jiefu Chen
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-215081-MS
https://doi.org/10.2118/215081-MS
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Proceedings Papers

Deep Learning Enhanced Joint Inversion for Mineral Exploration Using Airborne Geophysics: Application in Decorah Area

Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiefu Chen, Yueqin Huang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910948
https://doi.org/10.1190/image2023-3910948.1
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View Paper titled, Deep Learning Enhanced Joint Inversion for Mineral Exploration Using Airborne Geophysics: Application in Decorah Area
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Proceedings Papers

A deep learning based surrogate and uncertainty quantification for fast electromagnetic modeling in complex formations

Yuchen Jin, Chaoxian Qi, Li Yan, Yueqin Huang, Xuqing Wu, Jiefu Chen
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751935
https://doi.org/10.1190/image2022-3751935.1
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View Paper titled, A deep learning based surrogate and uncertainty quantification for fast electromagnetic modeling in complex formations
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Proceedings Papers

A flexible and versatile joint inversion framework using deep learning

Yanyan Hu, Jiefu Chen, Xuqing Wu, Yueqin Huang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3728722
https://doi.org/10.1190/image2022-3728722.1
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Proceedings Papers

A fast integral equation method for electromagnetic modeling of the energized casings and reservoir fluids in layered formations

Chaoxian Qi, Jiefu Chen, Jiuping Chen, Yueqin Huang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3590214
https://doi.org/10.1190/segam2021-3590214.1
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View Paper titled, A fast integral equation method for electromagnetic modeling of the energized casings and reservoir fluids in layered formations
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Proceedings Papers

Underground formation characterization and uncertainty quantification using transitional Markov chain Monte Carlo sampling with an efficient parallel implementation

Han Lu, Jiefu Chen, Xuqing Wu, Xin Fu, Mohammad Khalil, Cosmin Safta, Yueqin Huang
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426670
https://doi.org/10.1190/segam2020-3426670.1
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View Paper titled, Underground formation characterization and uncertainty quantification using transitional Markov chain Monte Carlo sampling with an efficient parallel implementation
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Journal Articles

A Physics-Driven Deep-Learning Network for Solving Nonlinear Inverse Problems

Yuchen Jin, Qiuyang Shen, Xuqing Wu, Jiefu Chen, Yueqin Huang
Journal: Petrophysics - The SPWLA Journal of Formation Evaluation and Reservoir Description
Publisher: Society of Petrophysicists and Well-Log Analysts
Petrophysics 61 (01): 86–98.
Paper Number: SPWLA-2020-v61n1a3
https://doi.org/10.30632/PJV61N1-2020a3
Published: 01 February 2020
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View article titled, A Physics-Driven Deep-Learning Network for Solving Nonlinear Inverse Problems
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Proceedings Papers

Using a Physics-Driven Deep Neural Network to Solve Inverse Problems for LWD Azimuthal Resistivity Measurements

Yuchen Jin, Xuqing Wu, Jiefu Chen, Yueqin Huang
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-IIII
https://doi.org/10.30632/T60ALS-2019_IIII
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View Paper titled, Using a Physics-Driven Deep Neural Network to Solve Inverse Problems for LWD Azimuthal Resistivity Measurements
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Proceedings Papers

Statistical geosteering inversion by Hamiltonian dynamics Monte Carlo method

Qiuyang Shen, Han Lu, Xuqing Wu, Xin Fu, Jiefu Chen, Zhu Han, Yueqin Huang
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17663093
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View Paper titled, Statistical geosteering inversion by Hamiltonian dynamics Monte Carlo method
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