A Stepwise-Inference-Based Optimization System for Supporting Remediation of Petroleum-Contaminated Sites

X. S. Qin
Faculty of Engineering, University of Regina, Regina, Canada
G. H. Huang
Chinese Research Academy of Environmental Science, Anwai, Beijing, P.R. China
A. Chakma
Department of Chemical Engineering, University of Waterloo,Waterloo, Ontario, Canada

In real-world applications, the subsurface conditions are mostly heterogeneous and anisotropic. The simulation-regression-optimization approach works better if the necessary parameters are known. Thus, the solutions from the optimization models are only meaningful when sufficient site characterization data are available. Moreover, it is desirable that further verifications be conducted through comparing the results from regression-based forecasting system with those from observed production data or monitored operational system-response data.

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