张钊，山东大学数学与交叉科学研究中心副研究员。2010年本科毕业于山东大学数学学院，2014年获得英国拉夫堡大学博士学位并于2014-2018年在英国赫瑞瓦特大学从事博士后研究，入选山东大学青年学者未来计划和省级人才项目。主要研究方向为机器学习、不确定性量化与计算流体力学，在Journal of Computational Physics等高水平期刊发表论文10多篇。
欢迎立志于从事数值计算、统计计算、机器学习等方面研究的同学加入团队。
1. 机器学习
2. 不确定性量化
3. 计算流体力学
1. Xia Yan, Jingqi Lin, Sheng Wang, Zhao Zhang, Piyang Liu, Shuyu Sun, Jun Yao and Kai Zhang. Physics-Informed Neural Network Simulation of Two-Phase Flow in Heterogeneous and Fractured Porous Media. Advances in Water Resources, 104731, 2024.
2. Zhao Zhang , Piyang Liu , Ying Liu , Tianyu Zeng and Menghan Li. Ensemble Variational Bayesian Approximation for the Inversion and Uncertainty Quantification of Darcy Flows in Heterogeneous Porous Media with Random Parameters. Journal of Computational Physics, 510, 113052, 2024.
3. Zhao Zhang , Xia Yan , Piyang Liu , Kai Zhang , Renmin Han and Sheng Wang. A physics-informed convolutional neural network for the simulation and prediction of two-phase Darcy flows in heterogeneous porous media. Journal of Computational Physics, 477, 111919, 2023.
4. Zhao Zhang. A physics-informed deep convolutional neural network for simulating and predicting transient Darcy flows in heterogeneous reservoirs without labeled data. Journal of Petroleum Science and Engineering, 211, 2022.
5. Zhao Zhang , Jianchun Guo , Hao Liang and Yuxuan Liu. Numerical simulation of skin factors for perforated wells with crushed zone and drilling-fluid damage in tight gas reservoirs. Journal of Natural Gas Science and Engineering, 90, 103907, 2021.
6. Zhao Zhang , S. Geiger , M. Rood, C. Jacquemyn, M.D. Jackson, G.J. Hampson and F.M.D. Carvalho, C.C.M.M. Silva, J.M. Silva, M.C. Sousa. Fast Flow Computation Methods on Unstructured Tetrahedral Meshes for Rapid Reservoir Modelling. Computational Geosciences, 24, 641–661, 2020.
7. X. Yan , Z. Huang , J. Yao , Zhao Zhang and P. Liu, Y. Li, D. Fan. Numerical simulation of hydro-mechanical coupling in fractured vuggy porous media using the equivalent continuum model and embedded discrete fracture model. Advances in Water Resources, 126, 137-154, 2019.
8. Joanna Szmelter , Piotr K. Smolarkiewicz , Zhao Zhang and Zhixin Cao. Non-oscillatory forward-in-time integrators for viscous incompressible flows past a sphere. Journal of Computational Physics, 386, 365-383, 2019.
9. Zhao Zhang , Z. Yin and X. Yan. A Workflow for Building Surface-Based Reservoir Models Using NURBS Curves, Coons Patches, Unstructured Tetrahedral Meshes and Open-Source Libraries. Computers and Geosciences, 121, 12-22, 2018.
10. Zhao Zhang , S. Geiger , M. Rood , C. Jacquemyn , M.D. Jackson , G.J. Hampson , F.M.D. Carvalho and C.C.M.M. Silva, J.M. Silva, M.C. Sousa. A tracing algorithm for flow diagnostics on fully unstructured grids with multipoint flux approximation. SPE Journal, 22, 1946-1962, 2017.
11. J. Szmelter , Zhao Zhang and P. Smolarkiewicz. An unstructured-mesh atmospheric model for nonhydrostatic dynamics: Towards optimal mesh resolution. Journal of Computational Physics, 294, 363-381, 2015.
1. 基于深度学习的瞬态油藏代理模型的构建及油藏预测方法
2. 一种基于次线性期望的两点地质统计学建模方法
3. 一种改进的油气藏高效自动历史拟合方法
4. 高压致密气藏射孔总表皮和压实带表皮系数模拟计算方法
1. （包干项目）缝洞型油藏中耦合界面问题的算法研究及应用, 2025/01/01-2027/12/31
2. （包干项目）半侵入式不确定性量化方法研究, 2025/01/01-2027/12/31
3. *********数值模拟智能代理, 2024/04/01-2030/12/31
4. 区块开发动态预测模型研究, 2023/01/01-2023/06/30
5. 页岩油藏复杂压裂缝网大规模参数高效自动历史拟合反演研究, 2022/07/01-2025/06/30
6. （包干项目）适用于三维离散裂缝网络模型的气藏高效数值模拟方法研究, 2021/12/23-2024/12/31
7. 具有高维随机参数的油气渗流方程不确定性量化研究, 2022/01/01-2026/12/31
1. 有限差分法和有限体积法
2. 机器学习与大数据分析
3. 机器学习与大数据分析
4. 机器学习与大数据分析
1.张松浩
2.王恒基
3.陈正龙
4.李孟晗
5.曾天宇
