  In this work we are concerned with the inverse problem of the estimation of
modeling parameters for a reactive bimolecular transport based on experimental
data that is non-uniformly distributed along the interval where the process
takes place. We proposed a methodology that can help to determine the intervals
where most of the data should be taken in order to obtain a good estimation of
the parameters. For the purpose of reducing the cost of laboratory experiments,
we propose to simulate data where is needed and it is not available, a
PreProcesing Data Fitting (PPDF).We applied this strategy on the estimation of
parameters for an advection-diffusion-reaction problem in a porous media. Each
step is explained in detail and simulation results are shown and compared with
previous ones.
