Multiphase inverse modeling: Review and iTOUGH2 applications
- LBNL Library
Calibration of a numerical process model against laboratory or field data is often referred to as ''inverse modeling''. As the numerical simulation models become more complex, the number of parameters to be estimated generally increases, requiring new testing, modeling, and inversion strategies. The purpose of this survey is to review inverse modeling approaches for unsaturated and multiphase flow models. The discussion focuses on applications rather than theoretical considerations, which have been previously reviewed in the context of saturated flow and transport modeling. We also examine model parameterization issues, specifically the representation of heterogeneity through a limited number of variables that can be subjected to parameter estimation and uncertainty propagation analyses. Different parameterization strategies are illustrated using the multiphase flow simulation-optimization code iTOUGH2 (Finsterle, 1999a,b,c). A comprehensive inverse modeling package (such as iTOUGH2, which includes automatic model calibration followed by an extensive residual, error, and uncertainty propagation analysis) is an essential tool to improve test design and data analysis of complex multiphase flow systems.
- Research Organization:
- Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (US)
- Sponsoring Organization:
- USDOE Assistant Secretary for Energy Efficiency and Renewable Energy. Office of the Deputy Assistant Secretary for Technology Development. Office of the Geothermal Technology Program
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 842556
- Report Number(s):
- LBNL--54358
- Journal Information:
- Vadose Zone Journal, Journal Name: Vadose Zone Journal Journal Issue: 3 Vol. 3
- Country of Publication:
- United States
- Language:
- English
Similar Records
iTOUGH2: From parameter estimation to model structure identification
ITOUGH2 user`s guide version 2.2