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Progress and Prospects of Sinopec’s Intelligent Drilling Technologies
ZENG Yijin, WANG Minsheng, GUANG Xinjun, WANG Guo, ZHANG Hongbao, CHEN Zengwei, DUAN Jinan
2024, 52(5): 1-9. DOI: 10.11911/syztjs.2024081
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Research Status and Development Trend of Drilling Digital Twin Technology
SONG Xianzhi, LI Gensheng, ZHU Zhaopeng, MA Baodong, ZHANG Ziyue
2024, 52(5): 10-19. DOI: 10.11911/syztjs.2024096
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Key Technologies and Field Applications of Intelligent Perception in Offshore Drilling and Completion
LI Zhong
2024, 52(5): 20-25. DOI: 10.11911/syztjs.2024083
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Application and Prospect of Digital Twin in Oil and Gas Drilling & Completion Engineering
FENG Ding, WANG Jiangang, ZHANG Hong, SUN Qiaolei, HOU Lingxia, MIAO Enming
2024, 52(5): 26-34. DOI: 10.11911/syztjs.2024095
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Advancements and Prospects of Monitoring and Intelligent PerceptionTechnology for Wellbore Sealing Integrity
ZHOU Shiming, LU Peiqing
2024, 52(5): 35-41. DOI: 10.11911/syztjs.2024097
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Research Progress and Prospects of Key Technologies for Intelligent Managed Pressure Drilling
LIU Wei, FU Jiasheng, GUO Qingfeng, ZHAO Qing
2024, 52(5): 42-50. DOI: 10.11911/syztjs.2024103
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Research Progress and Development Prospect of Intelligent Surface Logging Technology
WANG Zhizhan
2024, 52(5): 51-61. DOI: 10.11911/syztjs.2024099
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Exploration and Suggestion of Key Technologies for Intelligent Drilling in Sinopec Shengli Oilfield Service Corporation
PEI Xueliang, HUANG Zhe
2024, 52(5): 62-68. DOI: 10.11911/syztjs.2024087
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Prediction Method of CO2 Plume Distribution Based on Physics-Informed Neural Networks
MA Xianlin, LIU Zhenzhi, ZHAN Jie, PAN Xiaotian, LI Chengde
2024, 52(5): 69-75. DOI: 10.11911/syztjs.2024090
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Intelligent Diagnosis for Effectiveness of Data-Knowledge Mixed-Driven Fracturing Ball Seat Setting
SHENG Mao, FAN Longang, ZHANG Shuai, ZHANG Yanjun, LI Chuan, TIAN Shouceng
2024, 52(5): 76-81. DOI: 10.11911/syztjs.2024085
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Downhole WOB Prediction Method Based on CNN-Bi-LSTM Network Optimized by TDCSO
ZHANG Jian, XIAO Yuhan, ZHOU Zhongyi, YANG Junlong
2024, 52(5): 82-90. DOI: 10.11911/syztjs.2024098
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Prediction Model of Rock Mechanics Parameters in Ultra-DeepFractured Formations Based on Big Data
ZHOU Zhou, LI Ben, GENG Yudi, XIAO Rui
2024, 52(5): 91-96. DOI: 10.11911/syztjs.2024084
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Inversion of Azimuthal Electromagnetic Wave Resistivity LWDBased on Deep Residual Network
SUN Qifeng, NI Hongsheng, YUE Xizhou, ZHANG Pengyun, GONG Faming
2024, 52(5): 97-104. DOI: 10.11911/syztjs.2024089
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Drilling Intelligent Decision Support System Based on Big Data and Fusion Model
WANG Jianlong, WANG Yuezhi, QIU Weihong, YU Chen, ZHANG Feifei, WANG Xueying
2024, 52(5): 105-116. DOI: 10.11911/syztjs.2024102
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The Method to Predict ROP of PDC Bits Based on Fusion of Theoretical Model and Machine Learning
WANG Guo, XU Boyue
2024, 52(5): 117-123. DOI: 10.11911/syztjs.2024094
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Status and Development Trend of Digital Bit Technologies
HUANG Zhe, ZHANG Weiqiang, WU Zhonghua
2024, 52(5): 124-129. DOI: 10.11911/syztjs.2024086
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Design of AI-Based Detection System for Rock Cuttings Fluorescence of Logging
CHEN Xianjun, GUO Shusheng, LIAO Gaolong, DONG Zhenguo, FU Qunchao
2024, 52(5): 130-137. DOI: 10.11911/syztjs.2024091
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Development and Application of Intelligent Control Devices for BOPs
YANG Liqiang
2024, 52(5): 138-144. DOI: 10.11911/syztjs.2024088
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An Early Intelligent Kick Detection Method Based on Variation Trend of Engineering Parameters
WANG Biao, LI Jun, YANG Hongwei, ZHAN Jiahao, ZHANG Geng, LONG Zhenyu
2024, 52(5): 145-153. DOI: 10.11911/syztjs.2024093
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Architecture of Intelligent Early Warning System for Complex Drilling Risks Based on Digital Twin Technology
WANG Junze, LI Qian, YIN Hu
2024, 52(5): 154-162. DOI: 10.11911/syztjs.2024082
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Architecture of a Digital Twin-Based Adaptive Control System for Drilling Parameters
ZHAO Xiuwen, YIN Hu, LI Qian
2024, 52(5): 163-170. DOI: 10.11911/syztjs.2024092
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