科研成果

10月 9, 2026 · 7 分钟阅读时长

代表论文

发表学术论文 100 余篇,其中 SCI 检索 60 余篇,Google 学术引用 3500 余次,h 指数 32,i10 指数 61。下面按年份列出代表论文,完整列表见 Google Scholar;按研究方向分类的精选论文见各研究方向详情页。

2026

  1. Q Wang, H Zou, C Liang, S Zhang, H Jia, J Zhu. A combined approach for predicting liquid loading onset via clustering and convolutional neural networks. The Canadian Journal of Chemical Engineering, 2026.
  2. J Zhu, Y Liu, H Wang, M Chen, N Li, G Cao, H Zhu. Optimizing Plunger Lift Systems for Gas Well Deliquification: A Bayesian Approach with Comparative Algorithmic Analysis. SPE Journal, 1-15, 2026.
  3. J Zhu, Y Liu, H Wang, M Chen, N Li, G Cao, R Zhong, H Zhu. Enhancing Plunger Lift Anomaly Detection: A Vision Transformer-Based Approach Leveraging Pretrained Models and Graphic Data Augmentation. Processes 14 (13), 2045, 2026.
  4. J Zhu, Y Liu, M Chen, H Wang, Y Li, H Zhu. Enhanced Zero-Shot Classification of Plunger Lift Operating Conditions Using a Modified Clip Architecture with Selective Data Sampling. Results in Engineering, 110368, 2026.
  5. J Zhu, A Li, Y Ji, J Peng, Y Zhang, H Zhu. Optimization of gas-liquid two-phase flow characteristic parameters in a concentric dual-tube hydraulic jet pump(同心双管水力射流泵气液两相流特征参数优化). The Chinese Journal of Process Engineering(过程工程学报)26 (3), 233-244, 2026.
  6. C Zhang, Q Li, J Zhang, J Zhu, Y Wang. Energy conversion mechanisms and flow boundaries of gas–liquid multiphase flow in a mixed-flow electrical submersible pump for offshore oilfields. Physics of Fluids 38 (9), 2026.
  7. C Zhang, H Jia, X Zhang, Q Li, Y Li, Y Zhang, H Zhu, J Zhu. Flow Structure Analysis in a Rotating Centrifugal Impeller under Gassy Conditions Using Dynamic Mode Decomposition. Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon , 2026.
  8. Y Zhang, H Zeng, C Su, J Yang, J Zhu, J Wang. Lightweight Vision Transformer for Real-Time Threat Level Assessment in Φ-OTDR-Based Pipeline Monitoring. Applied Sciences 16 (3), 1664, 2026.

2025

  1. J Yang, M Chen, H Wang, R Zheng, Z Li, H Zhou, J Zhu. Fast Calculation Method of Two-Phase Flow in Horizontal Gas Wells Based on PI-DeepONet. Processes 13 (10), 3363, 2025.
  2. L Peng, L Feng, Q Guang, J Zhu, H Liu, Z Nie, C Ma, C Di, Q Wu. Real-Time ESP Management Framework Using Hybrid Physics-Based and ML Models. SPE Offshore Europe Conference and Exhibition, D021S009R008, 2025.
  3. QX Liu, JJ Zhu, HB Wang, S Chen, HY Wang, N Li, RZ Zhong, YJ Liu 等. Deep Feature Learning for Anomaly Detection in Gas Well Deliquification using Plunger Lift: A Novel CNN-based Approach. Petroleum Science, 2025.
  4. J Xie, J Yang, K Fu, L Tai, X Wang, J Zhu, J Wang. Quantitative Assessment of Pipeline Defects Utilizing a Dual-Stage Deep Learning Framework: Integration of Pretrained YOLO Network and Multi-input Parallel Convolution …. Journal of Pipeline Science and Engineering, 100282, 2025.
  5. J Yang, Y Zhang, C Su, K Fu, J Zhu, J Wang. Multi-Priors Tensor Completion for Highly Under-sampled Magnetic Flux Leakage Signal Reconstruction. Journal of Pipeline Science and Engineering, 100382, 2025.
  6. J Yang, J Xie, X Gao, K Fu, J Zhu, J Wang. Synthetic Magnetic Flux Leakage Signal Generation Using Diffusion Models: A Novel Approach to Improve Pipeline Defect Detection Accuracy. Journal of Pipeline Science and Engineering, 100363, 2025.
  7. X Chen, M Fu, X Liu, J Zhu. Synthesizing Labeled Magnetic Flux Leakage Signals for Pipeline Integrity Assessment: A Generation and Evaluation Methodology. IEEE Transactions on Instrumentation and Measurement, 2025.
  8. S Ma, T Zhang, H Wang, H Wang, N Li, H Zhu, J Zhu, J Wang. Transformer-based forecasting for high-frequency natural gas production data. Energy and AI 21, 100535, 2025.

2024

  1. H Zhu, Y Liu, D Tychus, D Zheng, SP Adiraju, TS Tatu, J Zhu, HQ Zhang. Sensitivity analysis on tailpipe design for mitigating terrain slug in horizontal wells. Geoenergy Science and Engineering 235, 212598, 2024.
  2. M Chen, J Zhu, G Cao, N Li, H Wang, H Zhu, M Jia, X Yang, D Guo. Plunger Lift Working Cycle Optimization using a Dynamic Full-Cycle Model Coupled with Simultaneous Perturbation Stochastic Approximation (SPSA) Algorithm. Abu Dhabi International Petroleum Exhibition and Conference, D021S036R003, 2024.
  3. P Chen, R Li, K Fu, Z Zhong, J Xie, J Wang, J Zhu. A cascaded deep learning approach for detecting pipeline defects via pretrained YOLOv5 and ViT models based on MFL data. Mechanical Systems and Signal Processing 206, 110919, 2024.
  4. Z Zhong, H Wang, N Li, H Zhu, J Zhu, J Wang. Prediction of Plunger Lift Dynamics Using a Bidirectional Long Short-Term Memory Neural Network with an Innovative Forecasting Strategy. 2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2024.
  5. Z Xu, H Lin, Y Jia, J Du, J Mao, J Zhu, J Chen, F Li, N Li. Data Augmentation and Recognition for Plunger Lift Based on Variational Autoencoders. 2024 6th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP), 2024.
  6. J Zhu, Y Ji, J Peng, H Zhu. A new mechanistic model on boosting pressure of Electrical Submersible Pumps (ESPs) under gas-liquid two-phase flow. Petroleum Science Bulletin 9 (1), 130-147, 2024.

2023

  1. Z Wang, W Fu, H Li, J Zhu. Multiphase flow behavior in the deep-stratum and deep-water wellbores. Frontiers Media SA, 2023.
  2. H Wang, J Du, J Chen, G Cao, N Li, J Zhu, M Jia, X Yang. A New Method to Calculate Loading Liquid Water of Gas Wells in Qinghai Oilfield. International Petroleum Technology Conference, D032S052R001, 2023.
  3. Y Li, J Zhu, H Zeng, Y Zhang, Y Lu, Y Fan, H Zhu. An Indirect Approach for Flow Pattern Transition Identification Inside a Low-Specific-Speed Centrifugal Pump with Experimental Verification and Theoretical Modeling. SPE Journal 28 (01), 184-200, 2023.
  4. Y Xie, S Ma, H Wang, N Li, J Zhu, J Wang. Unsupervised clustering for the anomaly diagnosis of plunger lift operations. Geoenergy Science and Engineering 231, 212305, 2023.
  5. W Ke, H Zeng, Z Wang, H Yu, Y Liu, D Zheng, J Zhu, H Zhu. A Numerical Study on Labyrinth Screw Pump (LSP) Performance under Viscous Fluid Flow. Energies 16 (16), 5997, 2023.

2022

  1. H Jia, J Zhu, G Cao, Y Lu, B Lu, H Zhu. A model ranking approach for liquid loading onset predictions. SPE Production & Operations 37 (03), 370-382, 2022.
  2. H Zhu, J Zhu, HQ Zhang. Mechanistic modeling of gas effect on Multi-stage Electrical submersible pump (ESP) performance with experimental validation. Chemical Engineering Science 252, 117288, 2022.

2021

  1. J Zhu, H Zhao, G Cao, H Banjar, H Zhu, J Peng, HQ Zhang. A New Mechanistic Model for Emulsion Rheology and Boosting Pressure Prediction in Electrical Submersible Pumps (ESPs) under Oil-Water Two-Phase Flow. SPE Journal 26 (02), 667-684, 2021.
  2. Q Zhao, J Zhu, G Cao, H Zhu, HQ Zhang. Transient modeling of plunger lift for gas well deliquification. SPE Journal 26 (05), 2928-2947, 2021.
  3. J Zhu, H Jia, H Wang, G Cao, H Zhu. Modeling and applications of plunger lift for gas well deliquification via a transient multiphase simulator. Petroleum Science Bulletin 6 (4), 626-637, 2021.
  4. Y Shi, J Zhu, H Wang, H Zhu, J Zhang, HQ Zhang. Experiments and mechanistic modeling of viscosity effect on a multistage ESP performance under viscous fluid flow. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of , 2021.
  5. H Zhu, J Zhu, Z Lin, Q Zhao, R Rutter, HQ Zhang. Performance degradation and wearing of Electrical Submersible Pump (ESP) with gas-liquid-solid flow: Experiments and mechanistic modeling. Journal of Petroleum Science and Engineering 200, 108399, 2021.
  6. H Zhu, J Zhu, R Rutter, HQ Zhang. Experimental Study on Deteriorated Performance, Vibration, and Geometry Changes of an Electrical Submersible Pump Under Sand Water Flow Condition. Journal of Energy Resources Technology 143 (8), 082104, 2021.

2020

  1. J Zhu, H Zhu, G Cao, J Zhang, J Peng, H Banjar, HQ Zhang. A New Mechanistic Model To Predict Boosting Pressure of Electrical Submersible Pumps Under High-Viscosity Fluid Flow with Validations by Experimental Data. SPE Journal 25 (02), 744-758, 2020.
  2. C Wang, Y Zhang, J Zhang, J Zhu. Flow pattern recognition inside a rotodynamic multiphase pump via developed entropy production diagnostic model. Journal of Petroleum Science and Engineering 194, 107467, 2020.

2019

  1. SY Nahri, Y Chen, W Williams, O Santos, L Thibodeaux, J Zhu. Understanding the Phenomenon of Dissolved Gas Migration of Gas in Riser During Drilling Operations. International Conference on Offshore Mechanics and Arctic Engineering 58875 …, 2019.
  2. J Zhu, J Zhang, G Cao, Q Zhao, J Peng, H Zhu, HQ Zhang. Modeling flow pattern transitions in electrical submersible pump under gassy flow conditions. Journal of Petroleum Science and Engineering 180, 471-484, 2019.
  3. J Zhu, G Cao, W Tian, Q Zhao, H Zhu, J Song, J Peng, Z Lin, HQ Zhang. Improved data mining for production diagnosis of gas wells with plunger lift through dynamic simulations. SPE Annual Technical Conference and Exhibition, D021S030R001, 2019.
  4. J Zhu, H Zhu, Q Zhao, W Fu, Y Shi, HQ Zhang. A transient plunger lift model for liquid unloading from gas wells. International Petroleum Technology Conference, D021S047R002, 2019.
  5. H Zhu, J Zhu, R Rutter, HQ Zhang. A numerical study on erosion model selection and effect of pump type and sand characters in electrical submersible pumps by sandy flow. Journal of Energy Resources Technology 141 (12), 122004, 2019.
  6. J Zhu, H Zhu, J Zhang, HQ Zhang. A numerical study on flow patterns inside an electrical submersible pump (ESP) and comparison with visualization experiments. Journal of Petroleum Science and Engineering 173, 339-350, 2019.

2018

  1. J Zhu, HQ Zhang. A review of experiments and modeling of gas-liquid flow in electrical submersible pumps. Energies 11 (1), 180, 2018.
  2. J Zhu, H Zhu, Z Wang, J Zhang, R Cuamatzi-Melendez, JAM Farfan, .... Surfactant Effect on Air/Water Flow in a Multistage Electrical Submersible Pump (ESP). Experimental Thermal and Fluid Science, 2018.

2017

  1. J Zhu, X Guo, F Liang, HQ Zhang. Experimental study and mechanistic modeling of pressure surging in electrical submersible pump. Journal of Natural Gas Science and Engineering 45, 625-636, 2017.
  2. J Zhu, HQ Zhang. Numerical study on electrical-submersible-pump two-phase performance and bubble-size modeling. SPE Production & Operations 32 (03), 267-278, 2017.

2016

  1. J Zhu, HQ Zhang. Mechanistic modeling and numerical simulation of in-situ gas void fraction inside ESP impeller. Journal of Natural Gas Science and Engineering 36, 144-154, 2016.
  2. J Zhu, H Banjar, Z Xia, HQ Zhang. CFD simulation and experimental study of oil viscosity effect on multi-stage electrical submersible pump (ESP) performance. Journal of Petroleum Science and Engineering 146, 735-745, 2016.

科研项目

纵向项目

项目来源起止
深海电潜泵油气混输流动机理及瞬态多相流模型研究国家自然科学基金面上项目2025–2028
煤岩气不同生产阶段采气工艺选择与精细优化方法(子任务)国家科技重大专项2025–2029
超深井井筒高温高压条件下复杂多介质多相流理论中国石油大学(北京)学科前沿交叉探索专项2025–2028
电潜泵高剪切流场中气液两相流型转化机制与动力学模型研究国家自然科学基金青年项目2021–2023
多级电潜泵(ESP)气液两相流输运机理中国石油大学(北京)拔尖人才科研启动基金2019–2022

企业委托项目

项目来源起止
智能电潜泵管理系统 V1.0中国石油迪拜研究院2025
水平气井两相流动瞬态建模与模块编制中国石油勘探开发研究院2024–2025
射流泵气阻临界条件分析与工作参数优选系统渤海钻探工程技术研究院2023
柱塞气举智能优化方法封装测试与井下多参数感知柱塞联动测试中国石油勘探开发研究院2023
腐蚀缺陷三维反演与 IMU 内检测数据量化识别国家石油天然气管网集团有限公司科学技术研究总院分公司2023
耦合人工举升工艺和系统的复杂井筒多相流理论建模中国石油集团科学技术研究院有限公司2022–2023
柱塞气举大数据异常工况诊断技术研究中国石油勘探开发研究院2022–2023
气井全周期柱塞气举动态模拟及智能优化中国石化页岩油气勘探开发重点实验室开放基金2021–2023
多工况电潜泵井筒举升参数模拟计算方法研究中国石化胜利油田2021–2022
垂直与水平气井井筒积液诊断模型适应性分析及软件测试中国石油勘探开发研究院2021–2022
基于机器学习的柱塞气举工况诊断模型测试与完善中国石油勘探开发研究院2020
柱塞气举异常工况诊断、分类与生产数据挖掘(塔尔萨大学 TUALP)eLynx Technologies(美国)2018–2020
电潜泵高粘、油水乳化、含砂工况技术开发与培训(塔尔萨大学 TUALP)墨西哥石油研究院(IMP)2016–2018

软件著作权

软件 / 模块主要功能登记 / 交付
水平气井瞬态计算软件 V1.0漂移流瞬态模型、OLGA 数据管理、动态可视化软著登记号 2026SR0412776(2026)
智能电潜泵管理系统 V1.0(算法模块)工况识别、故障预警、寿命预测、机理模型中国石油迪拜研究院(2025)
电潜泵多工况水力设计和性能分析系统软件 v1.0单相、高粘、乳化、气液工况性能预测国家自然科学基金青年项目
射流泵智能化工况分析软件两相/三相计算、气阻校核、参数优选渤海钻探(2023)
柱塞气举异常工况诊断程序CNN 诊断、在线诊断界面中国石油勘探开发研究院(2023)
气井积液诊断模型库48 个积液模型、聚类优选中国石油勘探开发研究院(2022)
水平气井瞬态计算软件主页面
水平气井瞬态计算软件 V1.0
智能电潜泵管理系统机理模型界面
智能电潜泵管理系统 V1.0
射流泵软件两相流功能界面
射流泵智能化工况分析软件

获奖

  • 中国核学会科技进步一等奖(2025),项目「地浸采铀数据驱动开采关键技术」
  • 入选 Elsevier 与斯坦福大学全球前 2% 科学家榜单(单年度,2025–2026)
  • Petroleum Science 荣誉青年编委(2025)
  • SPE Journal 杰出审稿贡献奖(2025)
  • SPE Production & Operations 杰出审稿贡献奖(2022–2024 连续三年)