Bicheng Yan

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration.
CoRR
Zhao Feng, Xin-Yang Liu, Meet Hemant Parikh, Junyi Guo, Pan Du, Bicheng Yan, Jian-Xun Wang
2025 J jnl
On the feasibility of an ensemble multi-fidelity neural network for fast data assimilation for subsurface flow in porous media.
Expert Syst. Appl.
Yating Wang, Bicheng Yan
2025 J jnl
SURGIN: SURrogate-guided Generative INversion for subsurface multiphase flow with quantified uncertainty.
CoRR
Zhao Feng, Bicheng Yan, Luanxiao Zhao, Xianda Shen, Renyu Zhao, Wenhao Wang, Fengshou Zhang
2024 J jnl
Multi-objective optimization of reservoir development strategy with hybrid artificial intelligence method.
Expert Syst. Appl.
Xinyu Zhuang, Wendong Wang, Yuliang Su, Bicheng Yan, Yuan Li, Lei Li, Yongmao Hao
2024 J jnl
Unraveling Overlying Rock Fracturing Evolvement for Mining Water Inflow Channel Prediction: A Spatiotemporal Analysis Using ConvLSTM Image Reconstruction.
IEEE Trans. Geosci. Remote. Sens.
Huichao Yin, Gaizhuo Zhang, Qiang Wu, Fangpeng Cui, Bicheng Yan, Shangxian Yin, Mohamad Reza Soltanian, Hung Vo Thanh, Zhenxue Dai
2023 J jnl
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks.
CoRR
Zhaoyang Ma, Xupeng He, Hyung Kwak, Jun Gao, Shuyu Sun, Bicheng Yan
2023 J jnl
Generation of Limit Cycles in Nonlinear Systems: Machine Leaning Based Type-3 Fuzzy Control.
IEEE Access
Bicheng Yan, Xiaoqiang Jiang, Khalid A. Alattas, Chunwei Zhang, Ardashir Mohammadzadeh
2023 J jnl
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model.
CoRR
Zhaoyang Ma, Xupeng He, Shuyu Sun, Bicheng Yan, Hyung Kwak, Jun Gao
2022 J jnl
A gradient-based deep neural network model for simulating multiphase flow in porous media.
J. Comput. Phys.
Bicheng Yan, Dylan Robert Harp, Bailian Chen, Hussein Hoteit, Rajesh J. Pawar
2021 J jnl
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media.
CoRR
Bicheng Yan, Dylan Robert Harp, Rajesh J. Pawar
2021 J jnl
A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media.
CoRR
Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar
2021 J jnl
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods.
CoRR
Bicheng Yan, Bailian Chen, Dylan Robert Harp, Rajesh J. Pawar
2021 J jnl
Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening.
CoRR
Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar
2021 J jnl
On the feasibility of using physics-informed machine learning for underground reservoir pressure management.
Expert Syst. Appl.
Dylan Robert Harp, Dan O'Malley, Bicheng Yan, Rajesh J. Pawar
2018 J jnl
A locally conservative Multiscale Finite Element Method for multiphase flow simulation through heterogeneous and fractured porous media.
J. Comput. Appl. Math.
Na Zhang, Yating Wang, Yuhe Wang, Bicheng Yan, Qian Sun