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Bicheng Yan
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Journal Articles
- 2024
- [j6]Xinyu Zhuang, Wendong Wang, Yuliang Su, Bicheng Yan, Yuan Li, Lei Li, Yongmao Hao:
Multi-objective optimization of reservoir development strategy with hybrid artificial intelligence method. Expert Syst. Appl. 241: 122707 (2024) - [j5]Huichao Yin, Gaizhuo Zhang, Qiang Wu, Fangpeng Cui, Bicheng Yan, Shangxian Yin, Mohamad Reza Soltanian, Hung Vo Thanh, Zhenxue Dai:
Unraveling Overlying Rock Fracturing Evolvement for Mining Water Inflow Channel Prediction: A Spatiotemporal Analysis Using ConvLSTM Image Reconstruction. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - 2023
- [j4]Bicheng Yan, Xiaoqiang Jiang, Khalid A. Alattas, Chunwei Zhang, Ardashir Mohammadzadeh:
Generation of Limit Cycles in Nonlinear Systems: Machine Leaning Based Type-3 Fuzzy Control. IEEE Access 11: 34835-34845 (2023) - 2022
- [j3]Bicheng Yan, Dylan Robert Harp, Bailian Chen, Hussein Hoteit, Rajesh J. Pawar:
A gradient-based deep neural network model for simulating multiphase flow in porous media. J. Comput. Phys. 463: 111277 (2022) - 2021
- [j2]Dylan Robert Harp, Dan O'Malley, Bicheng Yan, Rajesh J. Pawar:
On the feasibility of using physics-informed machine learning for underground reservoir pressure management. Expert Syst. Appl. 178: 115006 (2021) - 2018
- [j1]Na Zhang, Yating Wang, Yuhe Wang, Bicheng Yan, Qian Sun:
A locally conservative Multiscale Finite Element Method for multiphase flow simulation through heterogeneous and fractured porous media. J. Comput. Appl. Math. 343: 501-519 (2018)
Informal and Other Publications
- 2023
- [i6]Zhaoyang Ma, Xupeng He, Hyung Kwak, Jun Gao, Shuyu Sun, Bicheng Yan:
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks. CoRR abs/2311.06079 (2023) - [i5]Zhaoyang Ma, Xupeng He, Shuyu Sun, Bicheng Yan, Hyung Kwak, Jun Gao:
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model. CoRR abs/2311.10865 (2023) - 2021
- [i4]Bicheng Yan, Dylan Robert Harp, Rajesh J. Pawar:
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media. CoRR abs/2105.02652 (2021) - [i3]Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar:
Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening. CoRR abs/2105.03752 (2021) - [i2]Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar:
A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media. CoRR abs/2105.09467 (2021) - [i1]Bicheng Yan, Bailian Chen, Dylan Robert Harp, Rajesh J. Pawar:
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods. CoRR abs/2107.07274 (2021)
Coauthor Index
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