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Zehua Song
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Proceedings Papers

A Real-Time Inversion Framework for Carbon Equivalent Emissions in Oil and Gas Extraction Based on Vision Transformer

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Zehua Song, Xiaoyang Yu, Yu Song, Jin Yang, Dongsheng Xu, Kejin Chen, Fangfei Huang, Bin Chen, Yanwei Song
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-044
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View Paper titled, A Real-Time Inversion Framework for Carbon Equivalent Emissions in Oil and Gas Extraction Based on Vision Transformer
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Proceedings Papers

Deep Ocean Hydrographic Element Acquisition Device Based on Edge Computing Technology

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Bingzhen Gao, Jin Yang, Qishuai Yin, Kejin Chen, Zehua Song, Guojin Zhu
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-238
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View Paper titled, Deep Ocean Hydrographic Element Acquisition Device Based on Edge Computing Technology
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Proceedings Papers

Digital Twin: Hybrid Virtual Simulation and Physical Monitoring Strategy for Long-Term Safe Operation of Floating Production Platform-Hybrid Polyester Mooring Lines-Steel Catenary Risers Multibody System in the South China Sea

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Kejin Chen, Jin Yang, Qishuai Yin, Tyagi Mayank, Bingzhen Gao, Zehua Song, Shu Jia, Shuai Liu, Bin Xie, Hongsheng Chen
Paper presented at the Offshore Technology Conference, May 6–9, 2024
Paper Number: OTC-35240-MS
https://doi.org/10.4043/35240-MS
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View Paper titled, Digital Twin: Hybrid Virtual Simulation and Physical Monitoring Strategy for Long-Term Safe Operation of Floating Production Platform-Hybrid Polyester Mooring Lines-Steel Catenary Risers Multibody System in the South China Sea
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Proceedings Papers

Early Warning of Deep-Water Drilling Influx Based on Machine Learning

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Qishuai Yin, Zehua Song, Kejin Chen, Xu Zhou, Mayank Tyagi, Li Li
Paper presented at the The 33rd International Ocean and Polar Engineering Conference, June 19–23, 2023
Paper Number: ISOPE-I-23-005
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View Paper titled, Early Warning of Deep-Water Drilling Influx Based on Machine Learning
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Proceedings Papers

Research on Pore Pressure Prediction Technology of HTHP Wells in South China Sea Based on Machine Learning

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Dongsheng Xu, Jin Yang, Yuhang Zhao, Jianchun Fan, Yanjun Li, Xun Liu, Kejin Chen, Zehua Song, Xun Zhang, Hong Zhu
Paper presented at the Gas & Oil Technology Showcase and Conference, March 13–15, 2023
Paper Number: SPE-214059-MS
https://doi.org/10.2118/214059-MS
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View Paper titled, Research on Pore Pressure Prediction Technology of HTHP Wells in South China Sea Based on Machine Learning
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