Abstract
The non-parametric and parametric stochastic continuum approaches were applied to a realistic synthetic exhaustive hydraulic conductivity field to study the effects of hard and soft conditioning. From the reference domain, a number of data points were selected, either in a random or designed fashion, to form sample data sets. Based on established experimental variograms and the conditioning data, 100 realizations each of the studied domain were generated. The flow field was calculated for each realization, and particle arrival time and arrival position along the discharge boundary were evaluated. It was shown that conditioning on soft data reduces the uncertainty of solute arrival time, and that conditioning on soft data suggests an improvement in characterizing channeling effects. It was found that the improvement in the prediction of the breakthrough was moderate when conditioning on 25 hard and 100 soft data compared to 25 hard data only. (au).
Shan, Kung Chen;
Huan, Wen Xian;
Cvetkovic, V;
[1]
Winberg, A
[2]
- Royal Inst. of Tech., Stockholm (Sweden)
- Conterra AB, Goeteborg (Sweden)
Citation Formats
Shan, Kung Chen, Huan, Wen Xian, Cvetkovic, V, and Winberg, A.
Stochastic continuum simulation of mass arrival using a synthetic data set. The effect of hard and soft conditioning.
Sweden: N. p.,
1992.
Web.
Shan, Kung Chen, Huan, Wen Xian, Cvetkovic, V, & Winberg, A.
Stochastic continuum simulation of mass arrival using a synthetic data set. The effect of hard and soft conditioning.
Sweden.
Shan, Kung Chen, Huan, Wen Xian, Cvetkovic, V, and Winberg, A.
1992.
"Stochastic continuum simulation of mass arrival using a synthetic data set. The effect of hard and soft conditioning."
Sweden.
@misc{etde_10127705,
title = {Stochastic continuum simulation of mass arrival using a synthetic data set. The effect of hard and soft conditioning}
author = {Shan, Kung Chen, Huan, Wen Xian, Cvetkovic, V, and Winberg, A}
abstractNote = {The non-parametric and parametric stochastic continuum approaches were applied to a realistic synthetic exhaustive hydraulic conductivity field to study the effects of hard and soft conditioning. From the reference domain, a number of data points were selected, either in a random or designed fashion, to form sample data sets. Based on established experimental variograms and the conditioning data, 100 realizations each of the studied domain were generated. The flow field was calculated for each realization, and particle arrival time and arrival position along the discharge boundary were evaluated. It was shown that conditioning on soft data reduces the uncertainty of solute arrival time, and that conditioning on soft data suggests an improvement in characterizing channeling effects. It was found that the improvement in the prediction of the breakthrough was moderate when conditioning on 25 hard and 100 soft data compared to 25 hard data only. (au).}
place = {Sweden}
year = {1992}
month = {Jun}
}
title = {Stochastic continuum simulation of mass arrival using a synthetic data set. The effect of hard and soft conditioning}
author = {Shan, Kung Chen, Huan, Wen Xian, Cvetkovic, V, and Winberg, A}
abstractNote = {The non-parametric and parametric stochastic continuum approaches were applied to a realistic synthetic exhaustive hydraulic conductivity field to study the effects of hard and soft conditioning. From the reference domain, a number of data points were selected, either in a random or designed fashion, to form sample data sets. Based on established experimental variograms and the conditioning data, 100 realizations each of the studied domain were generated. The flow field was calculated for each realization, and particle arrival time and arrival position along the discharge boundary were evaluated. It was shown that conditioning on soft data reduces the uncertainty of solute arrival time, and that conditioning on soft data suggests an improvement in characterizing channeling effects. It was found that the improvement in the prediction of the breakthrough was moderate when conditioning on 25 hard and 100 soft data compared to 25 hard data only. (au).}
place = {Sweden}
year = {1992}
month = {Jun}
}