High Resolution 3D Simulation for Surfactant Enhanced Aquifer Remediation

Abstract

The goals of this project were to develop advanced modeling and computational methods for surfactant enhanced aquifer remediation (SEAR), and to apply the algorithms to practical recovery problems. The investigators added several features to the current modeling capabilities for SEAR. They also developed new multigrid iterative methods for use on dynamically adaptive grids. The research was applied to several field tests, including Hill AFB sites OU1 and OU2, MCB Camp Lejeune, the Savage Well site in New Hampshire, and a TCE site at Cape Canaveral.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA369863

Entities

People

  • John A. Trangenstein

Organizations

  • Duke University

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Ecology
  • Engineering
  • Equations
  • Field Tests
  • Finite Element Analysis
  • Groundwater
  • High Resolution
  • Linear Algebra
  • Linear Systems
  • Mass Transfer
  • Mathematical Analysis
  • New Hampshire
  • Simulations
  • Simulators
  • United States
  • Water Resources

Readers

  • Computational Fluid Dynamics (CFD)
  • Groundwater Contamination Remediation.