Submission Deadline: 31 December 2026 View: 73 Submit to Special Issue
Prof. Dr. Hsin-Fu Yeh
Email: hfyeh@mail.ncku.edu.tw
Affiliation: Department of Resources Engineering, National Cheng Kung University, Taiwan
Research Interests: watershed hydrology, subsurface stability, climate change impacts, water resource management
Dr. Ya-Sin Yang
Email: moocat027@gmail.com
Affiliation: Department of Resources Engineering, National Cheng Kung University, Taiwan
Research Interests: hydro-mechanical coupling, fuzzy point estimation, bayesian updating, hysteresis effects, unsaturated soil, mountainous subsurface systems
Assist. Prof. Shang-Ying Chen
Email: e5890247@gmail.com
Affiliation: Department of Greenergy, National University of Tainan, Taiwan
Research Interests: data assimilation, multiphysics coupling, meshless methods, parameter identification, geo-engineering for the energy transition, and physics-informed surrogate modeling
In modern geo-engineering and subsurface resource development, environments are inherently complex, characterized by extreme geological heterogeneity, inaccessible domains, and dynamic, nonlinear behaviors. Traditional empirical or simplified analytical approaches often fall short in accurately predicting system responses under such demanding conditions. To ensure the safety, sustainability, and efficiency of these critical systems, it is essential to develop and apply advanced numerical and data-driven modeling techniques. These modern methodologies provide robust and predictive frameworks capable of deciphering complex subsurface phenomena, optimizing design, and supporting reliable decision-making processes.
We invite original research papers focusing on the advanced modeling of geo-engineering and subsurface resource systems. The scope of this Special Issue encompasses a wide spectrum of critical applications, ranging from traditional geomechanics to modern energy and environmental challenges. These include slope stability, tunnel engineering, groundwater management, oil and gas extraction, geothermal energy recovery, carbon capture and storage (CCS), underground energy storage, nuclear waste disposal, land subsidence, and seawater intrusion. We encourage submissions that leverage cutting-edge computational or data-centric methods to tackle the intricate challenges within these domains. Topics of interest include, but are not limited to:
· Artificial Intelligence (AI) and machine learning applications in geotechnical and subsurface engineering
· Physics-Informed Neural Networks (PINNs) as surrogate models
· Meshless methods and advanced spatial discretization techniques
· Data assimilation and inversion methods for subsurface characterization
· Uncertainty Quantification (UQ) and probabilistic risk assessment
· Thermo-Hydro-Mechanical-Chemical (THMC) multiphysics coupling
· Multiphase flow and reactive transport modeling
· Geostatistical methods and spatial data analysis
· Case studies highlighting advanced modeling in geo-engineering and subsurface resource management
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