Aquifer structure identification using stochastic inversion

Details Aquifer structure identification using stochastic inversion Aquifer structure identification using stochastic inversion

Apr 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008georl..3508404h&link_type=abstract

Geophysical Research Letters, Volume 35, Issue 8, CiteID L08404

Physics

Geophysics

2

Hydrology: Stochastic Hydrology, Hydrology: Groundwater Hydrology, Mathematical Geophysics: Spatial Analysis (0500), Mathematical Geophysics: Spectral Analysis (3205, 3280), Mathematical Geophysics: Uncertainty Quantification (1873)

Scientific paper

This study presents a stochastic inverse method for aquifer structure identification using sparse geophysical and hydraulic response data. The method is based on updating structure parameters from a transition probability model to iteratively modify the aquifer structure and parameter zonation. The method is extended to the adaptive parameterization of facies hydraulic parameters by including these parameters as optimization variables. The stochastic nature of the statistical structure parameters leads to nonconvex objective functions. A multi-method genetically adaptive evolutionary approach (AMALGAM-SO) was selected to perform the inversion given its search capabilities. Results are obtained as a probabilistic assessment of facies distribution based on indicator cokriging simulation of the optimized structural parameters. The method is illustrated by estimating the structure and facies hydraulic parameters of a synthetic example with a transient hydraulic response.

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