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A representer‐based inverse method for groundwater flow and transport applications
Groundwater inverse problems are concerned with the estimation of uncertain model parameters, such as hydraulic conductivity, from field or laboratory measurements. In practice, model and measurement…
Optimization and spatial pattern of large-scale aquifer thermal energy storage
The impact of low-temperature seasonal aquifer thermal energy storage (SATES) systems on chlorinated solvent contaminated groundwater: modeling of spreading and degradation.
Sensitivity analysis on parameters and processes affecting vapor intrusion risk
- S. Picone, J. Valstar, P. V. van Gaans, T. Grotenhuis, H. Rijnaarts
- GeologyEnvironmental toxicology and chemistry
- 1 May 2012
A one-dimensional numerical model was developed and used to identify the key processes controlling vapor intrusion risks by means of a sensitivity analysis and allow an understanding of controlling mechanisms and aid in the identification of critical parameters to be collected for field situations.
Dual states estimation of a subsurface flow-transport coupled model using ensemble Kalman filtering
Inverse modeling of groundwater flow and transport
- J. Valstar
- Environmental Science
- 21 May 2001
The impact of aquifer heterogeneity on the performance of aquifer thermal energy storage
Heterogeneity in hydraulic properties of the subsurface is not accounted for in current design calculations of aquifer thermal energy storage (ATES). However, the subsurface is heterogeneous and thus…
Optimal waterflood design using the adjoint method
This paper was selected for presentation by an SPE Program Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not…
Constraining a compositional flow model with flow‐chemical data using an ensemble‐based Kalman filter
This work considers the problem of estimating reservoir permeability using information about phase pressure as well as the chemical properties of fluid components and indicates that including chemical composition data significantly enhances the accuracy of the permeability estimates.