Six different experimental schemes for mass transfer through porous membranes are compared for the efficiency with respect to parameter identification, namely dynamic single-gas permeation, dynamic multi-gas permeation, steady-state single-gas permeation, steady-state multi-gas permeation, transient diffusion, and isobaric diffusion experiments. The comparison is made under optimal experimental conditions, which are obtained from optimal experimental design (OED) based on the Fisher information matrix. The covariance matrix of the parameters for each experimental scheme is estimated by the Cramer-Rao lower bound. To solve the optimization problems, a hybrid optimizer which combines a genetic algorithm and a gradient-based algorithm is used.