柱塞气举瞬态建模与智能诊断

10月 9, 2026 · 2 分钟阅读时长

研究方向 / 方向 3

柱塞气举是治理气井积液的主流间歇采气工艺，但井下柱塞运动无法直接观测，开关井制度多凭经验，异常工况也靠人工看油套压曲线判断。课题组从瞬态建模、智能诊断和制度优化三方面开展研究。

瞬态模型。 在 OLGA 中建立井筒、柱塞、控制器与储层模型，用现场油压、套压拟合参数；并自研全周期柱塞动力学模型，耦合统一多相流模型与组分物性，描述关井、下落、开井、上行、续流全过程，主要运行参数与 OLGA 对比精度达 90%。以全周期模型为“数字井”，用 SPSA、贝叶斯优化等算法优化开关井制度，并比较多种算法的效率与稳定性。

柱塞举升装置与举升循环
典型柱塞举升装置（左）与一个举升循环内的油压、套压和产量变化（右）
柱塞井现场数据与 OLGA 模拟对比
柱塞井现场油压、套压与 OLGA 瞬态模型的长周期对比

智能工况诊断。 针对柱塞井高频油套压数据，发展了二维 CNN＋迁移学习、无监督聚类、VAE 数据增强、GASF/GADF 图像化＋Vision Transformer、双向 LSTM 动态预测，以及改进 CLIP 的零样本工况分类；用瞬态模型模拟的油管破裂、电动阀卡死、储层出水等反常工况补充稀缺样本，显著提升诊断精度，并封装为在线诊断程序。

迁移学习模型对新井数据的工况诊断
迁移学习模型对未参与训练的 4 口柱塞井油套压数据的工况识别结果

代表性论文（10 篇）

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.