Large Scale Inverse Modeling with Half A Million Unknowns

    We show to the right our latest inverse modeling of hydraulic conductivity with 500,000 unknowns. The measurements are from eight laboratory pumping tests conducted in a sandbox of about 1.6 metre long, 0.8 metre high, and 0.1 metre thick. The whole simulation was finished in about 5 hours with one processor in use. The algorithm is based on maximum likelihood and flatness regularization, hence the tomogram (below) is the flattest solution that reproduces the data.


Sandbox 1 with a deterministic heterogeneous aquifer.
Inverted K field with a fine grid.


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