Surfactant-enhanced aquifer remediation (SEAR) is currently under acti
ve investigation as one of the most promising alternatives to conventi
onal pump-and-treat remediation for aquifers contaminated by dense non
aqueous phase organic liquids. An existing three-dimensional finite-di
fference enhanced oil recovery simulator is adapted to model the SEAR
process. This simulator incorporates the complex chemistry and multiph
ase transport behavior of surfactant/water/organic mixtures in permeab
le media. Model governing equations and parameter requirements are dis
cussed, and simulations are employed to illustrate some important issu
es potentially affecting SEAR performance at the field scale. Simulati
ons suggest that the total time for remediation could be reduced by mo
re than an order of magnitude over conventional remediation approaches
by employing SEAR. The assumptions, approximations, and conditions re
quired to achieve such a favorable result are identified, and the impo
rtance of modeling as a quantitative tool for the assessment of SEAR i
s highlighted.