Residual bias in a multiphase flow model calibration and prediction
Acta Universitatis Carolinae, Geologica
By: E. P. Poeter and R.H. Johnson
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Abstract
When calibrated models produce biased residuals, we assume it is due to an inaccurate conceptual model and revise the model, choosing the most representative model as the one with the best-fit and least biased residuals. However, if the calibration data are biased, we may fail to identify an acceptable model or choose an incorrect model. Conceptual model revision could not eliminate biased residuals during inversion of simulated DNAPL migration under controlled conditions at the Borden Site near Ontario Canada. This paper delineates hypotheses for the source of bias, and explains the evolution of the calibration and resulting model predictions.
Suggested Citation
Poeter, E.P., Johnson, R., 2002, Residual bias in a multiphase flow model calibration and prediction: Acta Universitatis Carolinae, Geologica, v. 46, no. 2-3, p. 208-212.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Residual bias in a multiphase flow model calibration and prediction |
| Series title | Acta Universitatis Carolinae, Geologica |
| Volume | 46 |
| Issue | 2-3 |
| Year Published | 2002 |
| Language | Czech |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Acta Universitatis Carolinae, Geologica |
| First page | 208 |
| Last page | 212 |