Streamline Based Simulation of Solute Transport

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Abstract/Contents

Abstract
This report proposes streamline-based simulation as a possible alternative to particle tracking for modeling solute transport. Like particle tracking, the pressure field is computed on an underlying grid using conventional techniques. The flow velocity at cell edges is then computed using Darcy's law and this information is used to trace streamlines throughout the domain. In particle tracking, mass is transported by moving particles along streamlines. In the method we describe, a one-dimensional conservation equation is solved numerically along each streamline. If the flow field changes, the solute concentration is mapped onto the underlying grid and the streamlines are recomputed. The concentration is then mapped back onto the new streamlines and the simulation proceeds as before. The method is suited for modeling advectively dominated multispecies transport in heterogeneous aquifers. We illustrate the streamline approach with synthetic example problems in fully saturated, confined aquifers: conservative, sorbing, and decaying tracer; a four component radioactive decay chain; and salt water intrusion where the flow field changes with time. Where possible we compare the results with analytical solutions and results from particle tracking codes.

Description

Type of resource text
Date created June 1998

Creators/Contributors

Author Crane, Martha Jean
Primary advisor Blunt, Martin J.
Degree granting institution Stanford University, Department of Petroleum Engineering

Subjects

Subject School of Earth Energy & Environmental Sciences
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Crane, Martha Jean. (1998). Streamline Based Simulation of Solute Transport. Stanford Digital Repository. Available at: https://purl.stanford.edu/hv697qp3971

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Master's Theses, Doerr School of Sustainability

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