Publications

Explore My Previous Publications and Research Contributions

Journal Publications

  1. Xu, Z., & Leung, J. Y. (2024). Dynamic Real-Time Production Forecasting Model for Complex Subsurface Flow Systems with Variable-Length Input Sequences. SPE Journal. 1-17. doi.org/10.2118/221482-PA

  2. Xu, Z., & Leung, J. Y. (2024). Shale Gas Production Forecasting with Well Interference Based on Spatial-Temporal Graph Convolutional Network. SPE Journal. 1-12. doi.org/10.2118/215056-PA

  3. Xu, Z., & Leung, J. Y. (2024). A novel formulation of RNN-based neural network with real-time updating–An application for dynamic hydraulic fractured shale gas production forecasting. Geoenergy Science and Engineering, 233, 212491. doi.org/10.1016/j.geoen.2023.212491

  4. Xu, Z., & Leung, J. Y. (2023). An Improved Dual-Porosity Dual-Permeability Modeling Workflow for Representing Nonplanar Hydraulic Fractures. Gas Science and Engineering, 118, 205108. doi.org/10.1016/j.jgsce.2023.205108

  5. Chen, J., Xu, Z., & Leung, J. Y. (2022). Analysis of Fracture Interference–Coupling of Flow and Geomechanical Computations with Discrete Fracture Modeling Using MRST. Journal of Petroleum Science and Engineering, 219, 111134.doi.org/10.1016/j.petrol.2022.111134

  6. Xu, Z., & Leung, J. Y. (2022). Analyzing the Impacts of Meshing and Grid Alignment in Dual Porosity Dual-Permeability Upscaling. SPE Reservoir Evaluation & Engineering, 25(01), 61-80. doi.org/10.2118/208573-PA

Conference

  1. Xu, Z., & Leung, J. Y. (2024, September). Graph-Level Feature Embedding with Spatial-Temporal GCN Method for Interconnected Well Production Forecasting. In SPE Annual Technical Conference and Exhibition (SPE-220790-MS), New Orleans, Louisiana, USA.

  2. Xu, Z., & Leung, J. Y. (2023, October). Shale Gas Production Forecasting with Well Interference Based on Spatial-Temporal Graph Convolutional Network. In SPE Annual Technical Conference and Exhibition (p. D031S032R004), San Antonio, Texas, USA. doi.org/10.2118/215056-MS

  3. Ma, Z., Yuan, Q., Xu, Z., & Leung, J. Y. (2023, October). A Recurrent Neural Network-Based Solvent Chamber Estimation Framework During Warm Solvent Injection in Heterogeneous Reservoirs. In SPE Annual Technical Conference and Exhibition (p. D021S013R001), San Antonio, Texas, USA. doi.org/10.2118/214984-MS

  4. Xu, Z., & Leung, J. Y. (2023). A Recursively Enhanced GRU Model for Real-Time Production Forecasting in Central Montney Shale Gas Reservoirs. In the International Association for Mathematical Geosciences (IAMG) Conference, Trondheim, Norway.