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Proceedings Papers

Automatic low-order weak faults detection from carbonate reservoir based on deep learning and ant tracking

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Han Wang, Xingwei Wu, Hanqing Wang, Jin Meng, Ji Chang, Tianrui Ye, Yujie Zhou, Dongwei Zhang, Yitian Xiao
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4089465
https://doi.org/10.1190/image2024-4089465.1
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View Paper titled, Automatic low-order weak faults detection from carbonate reservoir based on deep learning and ant tracking
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Proceedings Papers

A hybrid framework of physical constraints and sequence learning for production forecasting with application in the Weirong shale gas field, China

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Ji Chang, Han Wang, Hanqing Wang, Yujie Zhou, Jin Meng, Yitian Xiao
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4097293
https://doi.org/10.1190/image2024-4097293.1
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View Paper titled, A hybrid framework of physical constraints and sequence learning for production forecasting with application in the Weirong shale gas field, China
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Proceedings Papers

Data-Driven Rock Mechanics Parameter Calculation Through the Integration of EPBP and OSDU: A Case Study

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Hanqing Wang, Meng Han, Xiaobin Zhang, Xiaomei Kang, Zhimin Bai, Jin Meng, Dongwei Zhang, Yujie Zhou, Tianrui Ye, Ji Chang, Han Wang, Yitian Xiao, Xudong Sun
Paper presented at the 58th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2024
Paper Number: ARMA-2024-1189
https://doi.org/10.56952/ARMA-2024-1189
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View Paper titled, Data-Driven Rock Mechanics Parameter Calculation Through the Integration of EPBP and OSDU: A Case Study
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Proceedings Papers

A Machine-Learning-Based Workflow for Drilling Risk Prediction of Wellbore Instability and Trajectory Optimization in Ultra-Deep Formation

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Hanqing Wang, Ruxin Zhang, Ziyan Deng, Jin Meng, Han Wang, Yujie Zhou, Fan Yang, Ji Chang, Yitian Xiao, Huiwen Pang
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4034008-MS
https://doi.org/10.15530/urtec-2024-4034008
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View Paper titled, A Machine-Learning-Based Workflow for Drilling Risk Prediction of Wellbore Instability and Trajectory Optimization in Ultra-Deep Formation
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Proceedings Papers

A hybrid data-driven approach for shale gas production performance analysis via machine learning, game theory, and Pareto optimization: Weirong shale gas field, Sichuan Basin, China

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Tianrui Ye, Jin Meng, Yujie Zhou, Meng Han, Yitian Xiao, Yong Zhao, Haitao Cao, Chunyan He, Bin Hu
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3737766
https://doi.org/10.1190/image2022-3737766.1
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View Paper titled, A hybrid data-driven approach for shale gas production performance analysis via machine learning, game theory, and Pareto optimization: Weirong shale gas field, Sichuan Basin, China
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Proceedings Papers

Design of A Semi-submersible Double Mushroom Wind-Wave Hybrid Power Generation Platform

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Dong Chen, Lei Fu, Yujie Zhou, Ling Zhang, Wanchao Zhang
Paper presented at the The 31st International Ocean and Polar Engineering Conference, June 20–25, 2021
Paper Number: ISOPE-I-21-1203
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View Paper titled, Design of A Semi-submersible Double Mushroom Wind-Wave Hybrid Power Generation Platform
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Proceedings Papers

Hydrodynamic Analysis and Power Conversion Characteristic for Perforated Dual-Buoy Wave Energy Converter

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Yujie Zhou, Lei Fu, Dong Chen, Wanchao Zhang
Paper presented at the The 31st International Ocean and Polar Engineering Conference, June 20–25, 2021
Paper Number: ISOPE-I-21-1234
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View Paper titled, Hydrodynamic Analysis and Power Conversion Characteristic for Perforated Dual-Buoy Wave Energy Converter
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