The Oklahoma EMAP dataset was analyzed using a two-dimensional inversi
on algorithm which includes static shifts as free parameters. Model mi
sfit was minimized while simultaneously minimizing the resistivity rou
ghness norm and the static shift L2 norm. The tradeoff parameters betw
een the model misfit and these two norms were determined to minimize t
he Akaike's Bayesian Information Criterion (ABIC).