Improved Estimation Method of Permeability Distribution with Multiple Soft Information

Abstract

It is important to estimate the distribution of permeability for the environmental impact assessment of construction of agricultural facilities. The budget for the in-situ investigation is, however, going to decrease because of governmental cost-cutting. In this case, if the other properties are used for the estimation of permeability, the cost for the in-situ permeability test will be controlled. In this study, to raise the accuracy of the estimation result by the indicator simulation, the method to clarify the difference of cumulative probability distribution in each class of the soft data is introduced. To validate the proposed method, the hypothetical field having a given distribution of permeability and the other data is firstly examined, and the proposed method is proved to be effective. Then, actual data obtained at a field are applied for the proposed method. It is found that the accuracy is improved by using the multiple properties giving the good estimation by themselves.