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检索条件"机构=CNPC Engineering and Technology R&D Company"
774 条 记 录,以下是21-30 订阅
排序:
Practice and Exploration of data Governance for drilling Completion  13th
Practice and Exploration of Data Governance for Drilling Com...
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13th International Field Exploration and development Conference, IFEdC 2023
作者: Jing, Ling-Zhi Cui, Meng Yang, Xin-Yi Tian, Yu-Meng Shi, Xiao-Yan CNPC Engineering Technology R&D Company Limited Beijing China
drilling and completion is the core of energy production and plays an irreplaceable role in improving oil and gas exploration and development and increasing crude oil recovery. Similarly, drilling data is of great sig... 详细信息
来源: 评论
Experimental Study on the Transmission Law of Ultrasonic in Mud  1
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13th International Field Exploration and development Conference, IFEdC 2023
作者: Zhang, Shuo Gao, Wen-Kai Teng, Xin-Miao ding, Hua-Hua Liu, Ke Yu, de-Zhou CNPC Engineering Technology R&D Company Limited Beijing China
In the process of oil and gas exploitation, the problems of wellbore instability and collapse seriously restrict the efficiency and safety of drilling and completion engineering. Ultrasonic borehole imaging technology... 详细信息
来源: 评论
development Analysis and Prospect of Continuous Circulation drilling technology  13th
Development Analysis and Prospect of Continuous Circulation ...
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13th International Field Exploration and development Conference, IFEdC 2023
作者: Hu, Zhi-Jian Li, Xing-Yue Shao, Qiang Cheng, Jin CNPC Engineering Technology R&D Company Limited Beijing China
Continuous circulation drilling technology has been widely applied abroad and has become an effective means to solve the safety of drilling in complex formations. However, due to insufficient understanding, there is s... 详细信息
来源: 评论
Early Stuck Pipe detection Based on Time Series Analysis
Early Stuck Pipe Detection Based on Time Series Analysis
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2024 SPE Asia Pacific Oil and Gas Conference and Exhibition, APOGCE 2024
作者: Shi, Xiaoyan Ji, Yong Cui, Meng Wu, dong Guo, Weihong Jing, Lingzhi Tian, Yumeng Yang, Xinyi CNPC Engineering Technology R&D Company Limited Beijing China
recognizing stuck pipe signs in an earlier time and adopting appropriate action can greatly reduce nonproductive time during drilling and improve drilling safety. The purpose of this paper is to propose a time series ... 详细信息
来源: 评论
Study on Perforation Erosion in Hydraulically Fractured Shale Gas Wells Through downhole Video Imaging and Computational Fluid dynamic Modelling
Study on Perforation Erosion in Hydraulically Fractured Shal...
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2024 SPE Asia Pacific Oil and Gas Conference and Exhibition, APOGCE 2024
作者: Yuan, L. Hu, S.L. Mu, L.Y. Wang, d.L. Yang, X.T. CNPC Oilfield Service Company Limited China CNPC Engineering Technology R&D Company Limited China
The limited-entry technology was a key technology in the multistage fracturing of shale oil and gas horizontal wells to help distribute fracture fluid among multiple perforation clusters evenly. However, perforations ... 详细信息
来源: 评论
An Artificial Intelligence Algorithm for the real-Time Early detection of Sticking Phenomena in Horizontal Shale Gas Wells
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Fluid dynamics & Materials Processing 2023年 第10期19卷 2569-2578页
作者: Qing Wang Haige Wang Hongchun Huang Lubin Zhuo Guodong Ji CNPC Engineering Technology R&D Company Limited Planning and Support InstituteBeijing102206China
Sticking is the most serious cause of failure in complex drilling *** the present work a novel“early warning”method based on an artificial intelligence algorithm is proposed to overcome some of the known pro-blems as... 详细信息
来源: 评论
Application of Support Vector Machine (SVM) Method in reservoir Lithology Classification in Sichuan Basin  13th
Application of Support Vector Machine (SVM) Method in Reserv...
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13th International Field Exploration and development Conference, IFEdC 2023
作者: Yu, Jin-Chen CNPC Engineering Technology R&D Company Ltd. Beijing China
reservoir evaluation is essential for the scientific and rational design of geological exploration plans, and reservoir evaluation relies on obtaining information about reservoir lithology. With the deep integration o... 详细信息
来源: 评论
AdLM-LWd: Adaptive deep Learning Model for Lithology Identification from Logging- While-drilling data with Online Learning Mechanism
ADLM-LWD: Adaptive Deep Learning Model for Lithology Identif...
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2024 International Conference on New Trends in Computational Intelligence, NTCI 2024
作者: Zhao, Ziyun Lin, Wang Jing, Lingzhi Tian, Yumeng Guo, Weihong CNPC Engineering and Technology R&D Company Limited Beijing102206 China
Accurate lithology identification from Logging-While-drilling (LWd) data is crucial for optimizing drilling operations and enhancing reservoir characterization in the oil and gas industry. However, the lack of standar... 详细信息
来源: 评论
Prediction of Horizontal and Vertical distribution Trend of Formation Pressure and Characteristics of Safety density Window in Yinggehai Basin  29th
Prediction of Horizontal and Vertical Distribution Trend of ...
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29th International Conference on Computational and Experimental engineering and Sciences, ICCES 2023
作者: Gao, reyu Cui, Yi Fan, Jinzhao Yang, Guang Yang, Hongwei CNPC Engineering Technology R&D Company Limited Beijing102206 China
The formation pressure system of Yinggehai Basin has the characteristics of poor horizontal distribution regularity and severe vertical distribution changes. This paper proposes a new method for predicting the horizon... 详细信息
来源: 评论
Collision Mechanism of Marine drilling riser and Internal String in deep-water drilling  34th
Collision Mechanism of Marine Drilling Riser and Internal St...
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34th International Ocean and Polar engineering Conference, ISOPE 2024
作者: Zhang, Minghe Cui, Longlian Wang, Haige Yang, Jin Yang, Guobin Zhang, Guobin Liu, Qi Kong, Lulin Sun, Ke Jia, Wanting CNPC Engineering Technology R&D Company Limited China Beijing China
due to the complex marine environment loads, large horizontal deflection of marine risers, and contact and collision between risers and internal pipe strings will occur during drilling string installation and drilling... 详细信息
来源: 评论