Key research themes
1. How does modeling and simulation facilitate understanding and management of complex dynamic systems in reservoir contexts?
This theme investigates the foundational concepts, methodologies, and computational frameworks for modeling and simulating complex dynamic systems relevant to reservoir engineering and other scientific domains. It covers the theoretical underpinnings, software tools, and algorithmic implementations that enable capturing nonlinearities, stochastic characteristics, and emergent behaviors of reservoir and related systems. These modeling and simulation approaches are critical for predicting system behaviors, conducting scenario analyses, and supporting decision-making under uncertainty.
2. What methodological innovations improve accuracy, efficiency, and application scope in numerical reservoir simulations?
This theme focuses on computational methods and experimental design improvements that enhance the fidelity and computational tractability of reservoir simulations. It includes developments in numerical solvers for kinetic equations (e.g., Direct Simulation Monte Carlo), transient phase handling in steady-state simulations, parallel and cloud computing for large-scale simulation experiments, and specialized simulation environments. These methodological advances address challenges related to simulation run time, statistical confidence, high-dimensional parameter spaces, and simulation of complex multiphase flows.
3. In what ways can simulation-based techniques improve reservoir management, stimulation, and flood mitigation?
This theme concentrates on the applied use of simulation technologies to enhance reservoir engineering operations such as stimulation (chemical, hydraulic, propellant), waterflooding as an enhanced oil recovery (EOR) method, and flood mitigation for reservoir catchments and coastal cities. It integrates investigations into operational planning, risk management, environmental considerations, and real-time adaptive control informed by simulation findings. By simulating physical and operational reservoir processes, researchers aim to optimize resource recovery, mitigate hazards, and improve system resilience.