HR: 14:40h
AN: NS13A-05 INVITED    [Abstracts]
TI: Tomography of ground water flow from self-potential data
AU: Revil, A
EM: arevil@mines.edu
AF: Colorado School of Mines, Dept of Geophysics, Green Center, 1500 Illinois street, Golden, CO 80401, United States
AU: * Jardani, A
EM: Abderrahim.Jardani@etu.univ-rouen.fr
AF: Colorado School of Mines, Dept of Geophysics, Green Center, 1500 Illinois street, Golden, CO 80401, United States
AB: An inversion algorithm is developed to interpret self-potential (SP) data in terms of distribution of the seepage velocity of the ground water. The model is based on the proportionality existing between the electrokinetic source current density and the seepage velocity of the water phase. As the inverse problem is underdetermined, we use a Tikhonov regularization method with a smoothness constraint based on the differential Laplacian operator to solve the inverse problem. The regularization parameter is determined by the L-shape method. The recovery of the distribution of the seepage velocity vector of the ground water flow depends on the localization and number of non-polarizing electrodes and information relative to the distribution of the electrical resistivity of the ground. The inversion method is tested on two 2D synthetic cases and on two real SP data. The first field test corresponds to the infiltration of water from a ditch. The second one corresponds to large flow at the Cerro Prieto geothermal field in Baja California.
DE: 0903 Computational methods: potential fields (1214)
DE: 5104 Fracture and flow
DE: 5109 Magnetic and electrical properties (0925)
DE: 5139 Transport properties
DE: 5199 General or miscellaneous
SC: Near-Surface Geophysics [NS]
MN: 2007 Fall Meeting