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Full-Text Articles in Engineering
Parameter Estimation Using Artificial Neural Network And Genetic Algorithm For Free-Product Migration And Recovery, J. Morshed, Jagath J. Kaluarachchi
Parameter Estimation Using Artificial Neural Network And Genetic Algorithm For Free-Product Migration And Recovery, J. Morshed, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
Artificial neural network (ANN) is considered to be a universal function approximator, and genetic algorithm (GA) is considered to be a robust optimization technique. As such, ANN regression analysis and ANN-GA optimization techniques can be used to perform inverse groundwater modeling for parameter estimation. In this manuscript the applicability of these two techniques in solving an inverse problem related to a light-hydrocarbon-contaminated site is assessed. The critical parameters to be evaluated are grain-size distribution index α and saturated hydraulic conductivity of water Ksw, since these parameters control free-product volume predictions and flow. A set of published data corresponding to a …
Optimizing Separate Phase Light Hydrocarbon Recovery From Contaminated Unconfined Aquifers, G. S. Cooper, Richard C. Peralta, Jagath J. Kaluarachchi
Optimizing Separate Phase Light Hydrocarbon Recovery From Contaminated Unconfined Aquifers, G. S. Cooper, Richard C. Peralta, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
A modeling approach is presented that optimizes separate phase recovery of light non-aqueous phase liquids (LNAPL) for a single dual-extraction well in a homogeneous, isotropic unconfined aquifer. A simulation/regression/optimization (S/R/O) model is developed to predict, analyze, and optimize the oil recovery process. The approach combines detailed simulation, nonlinear regression, and optimization. The S/R/O model utilizes nonlinear regression equations describing system response to time-varying water pumping and oil skimming. Regression equations are developed for residual oil volume and free oil volume. The S/R/O model determines optimized time-varying (stepwise) pumping rates which minimize residual oil volume and maximize free oil recovery while …