Study on the complexity of reservoir parameters inversionin partially saturated porous media

The main purpose of this paper is to further clarify the complexity of the inversion method by using Niche Genetic Algorithms (NGA) to inverse the petrophysical property parameters. The improved BISQ model, presented in our earlier work, is chosen for the forward model in NGA. In this paper, the relationship between the sample number of the given wave response data and the inversion results, such as the precision and stability, is detailedly discussed by means of numerical experiments. It is found that, with respect to the data examined, the precision of inversion results is mostly satisfied when the sample number of given data is chosen as N=5. The simulation results also show that the inversion results of the porosity are most stable, which relative error is less than 1.17% at all cases.