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Proceedings Papers

CFD-Based Parametric Design of Pre-Swirl Stators for an Oil Tanker

Lei Huang, Hao-Liang Yu, Shuai Yuan, Hong-Jun Dai, Jie-Jie Zhang, Qun Sun
Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-587
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Proceedings Papers

Study on Production Improvement with Multi-Scale Geomechanical Modelling for Horizontal Wells in Unconventional Resources

Jie Zhang, Wei Zhou, Peng Wang, Yiming Wu, Peng Wang, Zhiliang Liu, Guohui Li, Lei Tian, Qigui Zhan, Xingyu Mu, Xingning Huang
Paper presented at the SPE Conference at Oman Petroleum & Energy Show, April 22–24, 2024
Paper Number: SPE-218627-MS
https://doi.org/10.2118/218627-MS
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View Paper titled, Study on Production Improvement with Multi-Scale Geomechanical Modelling for Horizontal Wells in Unconventional Resources
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Proceedings Papers

Application of Hydraulic Fracture Propagation and Production Simulation Technology for Multi-Stage Optimization - A Case Study from Unconventional Reservoir

Jie Zhang, Liming Lian, Peng Wang, Guohui Li, Zhiliang Liu, Guopeng Zou, Lei Tian, Xingning Huang
Paper presented at the SPE Conference at Oman Petroleum & Energy Show, April 22–24, 2024
Paper Number: SPE-218681-MS
https://doi.org/10.2118/218681-MS
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View Paper titled, Application of Hydraulic Fracture Propagation and Production Simulation Technology for Multi-Stage Optimization - A Case Study from Unconventional Reservoir
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Proceedings Papers

Machine Learning Application for Hydraulic Fracturing Optimization in a China Tight Gas Field

Tianjun Yu, Ming Li, Taiji Wang, Kevin Mullen, Jie Zhang, Beryl Audrey, Hai Hua Yang, Gayatri Kartoatmodjo
Paper presented at the International Petroleum Technology Conference, February 12, 2024
Paper Number: IPTC-23274-MS
https://doi.org/10.2523/IPTC-23274-MS
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View Paper titled, Machine Learning Application for Hydraulic Fracturing Optimization in a China Tight Gas Field
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Proceedings Papers

A Systematic Approach for Re-Fracturing Optimization and Horizontal Well Production Performance Improvement in Unconventional Resource

Yongliang Tang, Wei Zhou*, Daiyu Zhou, Jie Zhang, Yiming Wu, Peng Wang, Zhiliang Liu, Guohui Li, Liming Lian, Xiaotao Fu, Hongbao Du, Zheng Li, Xingning Huang
Paper presented at the International Petroleum Technology Conference, February 12, 2024
Paper Number: IPTC-23446-MS
https://doi.org/10.2523/IPTC-23446-MS
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View Paper titled, A Systematic Approach for Re-Fracturing Optimization and Horizontal Well Production Performance Improvement in Unconventional Resource
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Proceedings Papers

New High-Frequency Pressure Monitor Algorithm Guided Multistage Stimulation for Long Lateral without Mechanical Isolation

Bo Zeng, Nayun Zhou, Xingwu Guo, Yiting Wang, Yunlong Fu, Guan Wang, Roman Korkin, Andrey Fedorov, Alexey Borisenko, Yin Luo, Haoyan Li, Jie Zhang
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214867-MS
https://doi.org/10.2118/214867-MS
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View Paper titled, New High-Frequency Pressure Monitor Algorithm Guided Multistage Stimulation for Long Lateral without Mechanical Isolation
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Proceedings Papers

Identification of vehicles from seismic signals using machine learning

Xiaoxuan Zhu, Ji Zhang, Jie Zhang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3914280
https://doi.org/10.1190/image2023-3914280.1
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View Paper titled, Identification of vehicles from seismic signals using machine learning
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Proceedings Papers

Deep Learning Approaches in Tight Gas Field Pay Zone Classification

Zijian Hu, Fengjun Bai, Huajie Wang, Chuanhui Sun, Pinwei Li, Haoyan Li, Yunlong Fu, Jie Zhang, Yin Luo, Herick Yoander Nunez Perozo
Paper presented at the SPE Argentina Exploration and Production of Unconventional Resources Symposium, March 20–22, 2023
Paper Number: SPE-212394-MS
https://doi.org/10.2118/212394-MS
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View Paper titled, Deep Learning Approaches in Tight Gas Field Pay Zone Classification
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Proceedings Papers

A Unique Fracturing Solution in Water-Sensitive Tight Gas Formations

Tianjun Yu, Yongbo Cao, Ming Li, Junfeng Wang, Jie Zhang, Yuan Liu, Yin Luo, Haihua Yang, Taiji Wang, Andrew Fendt, Peiwu Liu
Paper presented at the Middle East Oil, Gas and Geosciences Show, February 19–21, 2023
Paper Number: SPE-213435-MS
https://doi.org/10.2118/213435-MS
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Proceedings Papers

3D surface-consistent residual statics estimation by deep learning

Han Wang, Jie Zhang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751260
https://doi.org/10.1190/image2022-3751260.1
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View Paper titled, 3D surface-consistent residual statics estimation by deep learning
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Proceedings Papers

Amplitude enhancement of far-offset refractions via machine learning

Lurun Su, Han Wang, Jie Zhang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751591
https://doi.org/10.1190/image2022-3751591.1
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View Paper titled, Amplitude enhancement of far-offset refractions via machine learning
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Proceedings Papers

Fit-For-Purpose Fracturing Technique Enables Breakthrough in Marginal Gas Field Development of Ordos Basin, China

Zhanguo Ma, Man Bi, Junjie Chen, Mingxing Shi, Haoyan Li, Yunlong Fu, Jie Zhang, Yin Luo, Yuan Liu
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210363-MS
https://doi.org/10.2118/210363-MS
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View Paper titled, Fit-For-Purpose Fracturing Technique Enables Breakthrough in Marginal Gas Field Development of Ordos Basin, China
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Proceedings Papers

Earthquake Detection and Focal Mechanism Calculation Using Artificial Intelligence

Shane Quimby, Yanwei Zhao, Jie Zhang
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723688-MS
https://doi.org/10.15530/urtec-2022-3723688
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View Paper titled, Earthquake Detection and Focal Mechanism Calculation Using Artificial Intelligence
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Proceedings Papers

Formation Evaluation Based on Anisotropy Derived Logging Curve Normalization in Shale Gas Horizontal Wells of China

Hai Jie Zhang, Jun Wei Pu, Ling Song Qin, Tong Tong Luo, He Fa Yao
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208401-MS
https://doi.org/10.15530/AP-URTEC-2021-208401
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View Paper titled, Formation Evaluation Based on Anisotropy Derived Logging Curve Normalization in Shale Gas Horizontal Wells of China
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Proceedings Papers

Velocity model building from one-shot VSP data via a convolutional neural network

Yangyang Ma, Jie Zhang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581912
https://doi.org/10.1190/segam2021-3581912.1
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View Paper titled, Velocity model building from one-shot VSP data via a convolutional neural network
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Proceedings Papers

Seismic noise attenuation by applying a deep learning method without noise-free labels

Han Wang, Jie Zhang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583901
https://doi.org/10.1190/segam2021-3583901.1
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View Paper titled, Seismic noise attenuation by applying a deep learning method without noise-free labels
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Proceedings Papers

Improving resolution in the first-arrival traveltime tomography

Yang Shen, Kang Wang, Jie Zhang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583896
https://doi.org/10.1190/segam2021-3583896.1
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View Paper titled, Improving resolution in the first-arrival traveltime tomography
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Proceedings Papers

Derive residual statics solution using a high-resolution neural network

Xudong Duan, Jie Zhang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583898
https://doi.org/10.1190/segam2021-3583898.1
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View Paper titled, Derive residual statics solution using a high-resolution neural network
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Proceedings Papers

3D survey geometry corrections and surface velocity mapping via deep learning

Xiangjun Ding, Jie Zhang, Ji Zhang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584157
https://doi.org/10.1190/segam2021-3584157.1
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View Paper titled, 3D survey geometry corrections and surface velocity mapping via deep learning
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Proceedings Papers

An Integrated Method for Evaluating Lost Circulation Risk for Shale Gas Drilling in Sichuan Basin

Rong-Chao Cheng, Ming-Ming Chu, Jie Zhang, Hui-Jiun Hao, Hai Lin, Qiang Tan, Yong-Cun Feng
Paper presented at the ISRM Regional Symposium - 11th Asian Rock Mechanics Symposium, October 21–25, 2021
Paper Number: ISRM-ARMS11-2021-053
https://doi.org/10.1088/1755-1315/861/6/062075
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View Paper titled, An Integrated Method for Evaluating Lost Circulation Risk for Shale Gas Drilling in Sichuan Basin
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