Search Results - "Zhu, Zhaopeng"

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  1. 1

    A new model for predicting drag coefficient and settling velocity of spherical and non-spherical particle in Newtonian fluid by Song, Xianzhi, Xu, Zhengming, Li, Gensheng, Pang, Zhaoyu, Zhu, Zhaopeng

    Published in Powder technology (01-11-2017)
    “…The settling process of particles occurs in many natural and industrial processes and the knowledge of drag coefficient and settling velocity of spherical and…”
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    Journal Article
  2. 2

    Intelligent Drilling and Completion: A Review by Li, Gensheng, Song, Xianzhi, Tian, Shouceng, Zhu, Zhaopeng

    Published in Engineering (Beijing, China) (01-11-2022)
    “…The application of artificial intelligence (AI) has become inevitable in the petroleum industry. In drilling and completion engineering, AI is regarded as a…”
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    Journal Article
  3. 3

    Drilling Conditions Classification Based on Improved Stacking Ensemble Learning by Yang, Xinyi, Zhang, Yanlong, Zhou, Detao, Ji, Yong, Song, Xianzhi, Li, Dayu, Zhu, Zhaopeng, Wang, Zheng, Liu, Zihao

    Published in Energies (Basel) (01-08-2023)
    “…The classification of drilling conditions is a crucial task in the drilling process, playing a vital role in improving drilling efficiency and reducing costs…”
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    Journal Article
  4. 4

    Intelligent Prediction of Stuck Pipe Using Combined Data-Driven and Knowledge-Driven Model by Zhu, Shuo, Song, Xianzhi, Zhu, Zhaopeng, Yao, Xuezhe, Liu, Muchen

    Published in Applied sciences (01-05-2022)
    “…Stuck pipe phenomena can have disastrous effects on drilling performance, with outcomes that can range from time delays to loss of expensive machinery. In this…”
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  5. 5

    Early Gas Kick Warning Based on Temporal Autoencoder by Zhu, Zhaopeng, Zhou, Detao, Yang, Donghan, Song, Xianzhi, Zhou, Mengmeng, Zhang, Chengkai, Duan, Shiming, Zhu, Lin

    Published in Energies (Basel) (01-06-2023)
    “…The timing of the data is not taken into account by the majority of risk warnings today. However, identifying temporal fluctuations in data, which is a vital…”
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    Journal Article
  6. 6

    A Novel Cementing Quality Evaluation Method Based on Convolutional Neural Network by Fang, Chunfei, Wang, Zheng, Song, Xianzhi, Zhu, Zhaopeng, Yang, Donghan, Liu, Muchen

    Published in Applied sciences (01-11-2022)
    “…The quality of cement in cased boreholes is related to the production and life of wells. At present, the most commonly used method is to use CBL-VDL to…”
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    Journal Article
  7. 7

    Drilling Parameters Multi-Objective Optimization Method Based on PSO-Bi-LSTM by Wang, Jianhua, Yan, Zhi, Pan, Tao, Zhu, Zhaopeng, Song, Xianzhi, Yang, Donghan

    Published in Applied sciences (01-11-2023)
    “…The increasing exploration and development of complex oil and gas fields pose challenges to drilling efficiency and safety due to the presence of formations…”
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  8. 8

    A Hybrid Neural Network Model for Predicting Bottomhole Pressure in Managed Pressure Drilling by Zhu, Zhaopeng, Song, Xianzhi, Zhang, Rui, Li, Gensheng, Han, Liang, Hu, Xiaoli, Li, Dayu, Yang, Donghan, Qin, Furong

    Published in Applied sciences (01-07-2022)
    “…Managed pressure drilling (MPD) is an essential technology for safe and efficient drilling in deep high-temperature and high-pressure formations with narrow…”
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    Journal Article
  9. 9

    Ion Diffusion Behavior between Fracturing Water and Shale and Its Potential Influence on Production by Ge, Hongkui, Shi, Peng, Zhu, Zhaopeng, Shen, Yinghao, Yang, Zhihui

    Published in Journal of chemistry (01-01-2017)
    “…Water imbibition, conductivity measurements, and ion identification were performed to investigate ion diffusion behavior between slick water and shale for…”
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    Journal Article
  10. 10

    Gas kick simulation in oil-based drilling fluids with the gas solubility effect during high-temperature and high-pressure well drilling by Xu, Zhengming, Song, Xianzhi, Li, Gensheng, Zhu, Zhaopeng, Zhu, Bin

    Published in Applied thermal engineering (25-02-2019)
    “…•A transient thermal gas kick simulator is developed for oil-based fluids.•Solubility and heat transfer influence gas kick characteristics…”
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    Journal Article
  11. 11

    Development of a transient non-isothermal two-phase flow model for gas kick simulation in HTHP deep well drilling by Xu, Zhengming, Song, Xianzhi, Li, Gensheng, Wu, Kan, Pang, Zhaoyu, Zhu, Zhaopeng

    Published in Applied thermal engineering (01-08-2018)
    “…•A non-isothermal two-phase flow model is developed for gas kick simulation.•The combination of AUSMV and finite difference method is used to solve the…”
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    Journal Article
  12. 12

    Settling behavior of non-spherical particles in power-law fluids: Experimental study and model development by Xu, Zhengming, Song, Xianzhi, Li, Gensheng, Pang, Zhaoyu, Zhu, Zhaopeng

    Published in Particuology (01-10-2019)
    “…[Display omitted] •We conducted 553 tests in power-law fluids with eight particle shapes.•Drag-coefficient model for spherical and non-spherical particles was…”
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  13. 13
  14. 14

    Numerical investigation of flow patterns in cuttings transport for extended-reach horizontal wells with rotation drillpipe by Sun, Yi, Song, Xianzhi, Zhou, Mengmeng, Xu, Zhengming, Zhu, Zhaopeng, Jing, Silin, Xiao, Hao, Qi, Yiqun, Li, Gensheng

    Published in Powder technology (01-04-2024)
    “…During the drilling process of extended-reach horizontal wells, the formation of the cuttings bed at the bottom of the wellbore is prone to cause drilling…”
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  15. 15

    Experimental study on the sliding friction of cuttings bed and pipe during horizontal-well drilling considering pipe rotation by Song, Xianzhi, Xiao, Hao, Yang, Henglin, Wang, Huanhao, Zhou, Mengmeng, Xu, Zhengming, Zhu, Zhaopeng, Li, Baoyu, Jing, Silin

    Published in Powder technology (01-03-2024)
    “…Horizontal wells are being used with the increase of oil and gas demand. But cuttings accumulate at the bottom of the annulus to form cuttings bed in…”
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  16. 16

    Settling behavior of spherical particles in vertical annulus: Experimental study and model development by Zhu, Zhaopeng, Zhou, Mengmeng, Song, Xianzhi, Zhu, Shuo, Li, Gensheng, Xu, Zhengming, Yao, Xuezhe, Yu, Buwen

    Published in Particuology (01-09-2022)
    “…[Display omitted] •Settling behavior of spheres in vertical annulus is revealed.•Relationship between wall factor and rheological behavior of power-law fluids…”
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  17. 17

    Development and validation of a lung cancer polygenic risk score incorporating susceptibility variants for risk factors by Ma, Zhimin, Zhu, Zhaopeng, Pang, Guanlian, Gong, Feilong, Gao, Jiaxin, Ge, Wenjing, Wang, Guoqing, Zhu, Mingxuan, Gong, Linnan, Li, Qiao, Ji, Chen, Fu, Yating, Jin, Chen, Ma, Hongxia, Ji, Yong, Zhu, Meng

    Published in International journal of cancer (08-10-2024)
    “…Incorporating susceptibility genetic variants of risk factors has been reported to enhance the risk prediction of polygenic risk score (PRS). However, it…”
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    Journal Article
  18. 18

    The association between METS-IR, an indirect index for insulin resistance, and lung cancer risk by Wang, Guoqing, Zhu, Zhaopeng, Wang, Yi, Zhang, Qiang, Sun, Yungang, Pang, Guanlian, Ge, Wenjing, Ma, Zhimin, Ma, Huimin, Gong, Linnan, Ma, Hongxia, Shao, Feng, Zhu, Meng

    Published in European journal of public health (01-08-2024)
    “…Abstract Background Insulin resistance has been reported to increase the risk of breast, prostate and colorectal cancer. However, the role of insulin…”
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  19. 19
  20. 20

    Predicting wall drag coefficient and settling velocity of particle in parallel plates filled with Newtonian fluids by Zhu, Zhaopeng, Song, Xianzhi, Li, Gensheng, Xu, Zhengming, Jing, Silin, Qin, Xiaozhou, Duan, Shiming

    Published in Particuology (01-10-2021)
    “…[Display omitted] •Wall drag coefficient is introduced to evaluate wall drag force of parallel plates.•An explicit model of settling velocity for particle in…”
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