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Developing parallel computing software to improve calibration efficiency has received growing attention of the watershed modeling community as it is very time demanding to run iteratively complex models for calibration.
Mathematical models for calibration and prediction of some indices of maturity are proposed.
A virtual strain gauge was also included in the models for calibration.
Although E-PLS has been designed with batch processes in mind, it could potentially serve to obtain better models for calibration problems with short and fat data sets.
The modification of the FE models for calibration included: (i) consideration of the effect of beam-end-offsets, (ii) modeling of floor slabs instead of using 'rigid diaphragm assumptions', (iii) inclusion of major non-structural components such as plain concrete walls and cement brick walls, and (iv) higher elastic modulus of actual concrete than specified value.
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The significant differences between intercept and zero found in six scanners implied the use of the linear model for calibration for all scanners.
They attempted to make common variogram(s) for different time periods in a year to estimate water levels on the grids of an aquifer model for calibration purposes.
These quantities may be predicted from a model (for calibration purposes) or calculated directly from production data without resorting to any modeling.
Hence, logs are required for petrophysical interpretation and subsequent rock physics modeling for calibration of elastic logs (Density, P-sonic, and often S-sonic logs) that are consistent through inter-and intra-well covering the entire vertical interval of interest.
The parameters of the model for calibration and correction of step-corrected accelerations are estimated by a least-squares fit against non-gravitational accelerations from POD, i.e., we minimize the norm ( vert vert a_mathrm{pod} - a_mathrm{cal} vert vert ).
Computational time of long-term simulations was reduced by simplifying the coal tar composition using 3 composite and 2 individual constituents and sequential application of a 2D centerline model (for calibration and predictions) and a 3D model (only for predictions).
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