Subsurface Biological Activity Zone Detection Using Genetic Search Algorithms
Publication: Journal of Environmental Engineering
Volume 125, Issue 12
Abstract
Use of generic search algorithms for detection of subsurface biological activity zones (BAZ) is investigated through a series of hypothetical numerical biostimulation experiments. Continuous injection of dissolved oxygen and methane with periodically varying concentration stimulates the cometabolism of indigenous methanotropic bacteria. The observed breakthroughs of methane are used to deduce possible BAZ in the subsurface. The numerical experiments are implemented in a parallel computing environment to make possible the large number of simultaneous transport simulations required by the algorithm. Our results show that genetic algorithms are very efficient in locating multiple activity zones, provided the observed signals adequately sample the BAZ.
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Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 125 • Issue 12 • December 1999
Pages: 1103 - 1112
History
Received: Sep 29, 1998
Published online: Dec 1, 1999
Published in print: Dec 1999
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