Stochastic Simulation of Mass Transport in Heterogeneous Formations Using Hard and Soft Conductivity Data

by Chen-Shan Kung, Royal Inst of Technology, Stockholm, Sweden,
Xian-Huan Wen, Royal Inst of Technology, Stockholm, Sweden,

Abstract: The mass transport in a synthetic 2-D heterogeneous formation is simulated through the Monte-Carlo method using continuum approach. The simulated hydraulic conductivity field are generated using a non-parametric geostatistics based on either only limited hard data or limited hard data plus a relatively large number of soft data. The simulated ensemble mass transport results are compared to the results from the reference field. The effects of soft data on the transport results are investigated. The results show that the soft data incorporation improves the transport simulated results in terms of arrival time and arrival position over just the use of hard data.

Subject Headings: Mass transport | Heterogeneity | Stochastic processes | Flow simulation | Hydrologic data | Groundwater pollution | Computer models | Water supply systems | Monte Carlo method | Europe | Monaco | Monte Carlo

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