A5019562917- CO2 Sequestration and Geologic Interactions
- Enhanced Oil Recovery Techniques
- Reservoir Engineering and Simulation Methods
- Hydrocarbon exploration and reservoir analysis
- Spacecraft and Cryogenic Technologies
- Methane Hydrates and Related Phenomena
- Carbon Dioxide Capture Technologies
- Nuclear reactor physics and engineering
- Atmospheric and Environmental Gas Dynamics
- Spacecraft Dynamics and Control
- Magnetic and transport properties of perovskites and related materials
- Distributed and Parallel Computing Systems
- X-ray Diffraction in Crystallography
- Gas Dynamics and Kinetic Theory
- Metal Extraction and Bioleaching
- Petroleum Processing and Analysis
- Phase Equilibria and Thermodynamics
- Geological and Geochemical Analysis
- Advanced Thermodynamics and Statistical Mechanics
- Geological Modeling and Analysis
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Nursing Education, Practice, and Leadership
- Advanced Mathematical Modeling in Engineering
Delft University of Technology
2023-2024
Abstract Successful deployment of geological carbon storage (GCS) requires an extensive use reservoir simulators for screening, ranking and optimization sites. However, the time scales GCS are such that no sufficient long-term data is available yet to validate against. As a consequence, there currently solid basis assessing quality with which dynamics large-scale operations can be forecasted. To meet this knowledge gap, we have conducted major validation benchmark study. achieve reasonable...
Simulator (Voskov et al., 2023) is a simulation framework for forward and inverse modelling uncertainty quantification of multi-physics processes in geo-engineering applications such as geothermal, CO2 sequestration, water pumping, hydrogen storage.To efficiently achieve high levels accuracy on complex geometries, it utilizes advanced numerical methods fully implicit thermo-hydro-mechanical-chemical (THMC) formulation, highly flexible finite-volume spatial approximation operator-based...
Abstract In this study, we conduct a comprehensive history matching study for the FluidFlower benchmark model. This was prepared and organized by University of Bergen, Stuttgart, Massachusetts Institute Technology, promoting understanding complex physics geological carbon storage (GCS) through in-house experiments numerical simulations. paper synthesizes experiences data encountered Delft-DARTS CSIRO participants. History is first performed based on low-dimensional-zonated structured model...
Abstract In this work, we describe our decisions made to perform the FluidFlower simulation study and discuss various aspects of benchmark that are different from usual subsurface practice. We will impact modeling choices on outcomes models, such as gridding, discretization, solver strategies, lessons learned, taking into account conditions compared commonly dealt with in simulation. start a brief description DARTS framework utilized for compositional simulation, thermodynamic physical...
Successful deployment of geological carbon storage (GCS) requires an extensive use reservoir simulators for screening, ranking and optimization sites. However, the time scales GCS are such that no sufficient long-term data is available yet to validate against. As a consequence, there currently solid basis assessing quality with which dynamics large-scale operations can be forecasted. To meet this knowledge gap, we have conducted major validation benchmark study. achieve reasonable scales,...