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Abstract


 
Chapter from: CA 3: Stochastic Modeling and Geostatistics 
Edited by 
Jeffrey M. Yarus and Richard L. Chambers

Authors:
Sean A. McKenna and Eileen P. Poeter

Methodology and Concepts

Published 1994 as part of Computer Applications 3
Copyright © 1994 The American Association of Petroleum Geologists.  All Rights Reserved.
 

Chapter 18

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Simulating Geological Uncertainty
with Imprecise Data for Groundwater Flow
and Advective Transport Modeling

 

Sean A. McKenna
Eileen P. Poeter
Dept. of Geology and Geological Engineering
Colorado School of Mines
Golden, Colorado, U.S.A.
 



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ABSTRACT

A known cross section composed of a heterogeneous mixture of three hydrofacies is sampled along vertical lines representing ten wells. These wells provide conditioning data for stochastic geostatistical simulations. Steady-state flow and advective transport are modeled across each resulting realization to evaluate effective hydraulic conductivity, first arrival time, and duration of particle arrivals. Further ensembles of realizations are produced with both the original ten wells of conditioning data and additional soft data in the form of imprecise estimates of the hydrofacies at every location within the simulated domain. Use of soft data decreases the ensemble variances with respect to the first arrival times, bulk hydraulic conductivity of the domain, and duration of the particle arrivals relative to the ensemble variance resulting from only ten wells of hard conditioning data. The accuracy of the resulting distributions is influenced by biases in the conditioning data.

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