According to the deficiency of the development status and the distribution law of the remaining oil in the reservoir-H

we used the fuzzy clustering analysis and numerical simulation technique to optimize the layers

evaluated the factors influencing the reservoir

and ultimately

got the comprehensive evaluation index

by which we could optimize the layers to reduce the contradiction between the layers and increase the water drive degree. Firstly

we determined 9 feature parameters as the evaluation indexes by the gray correlation analysis

that is

the water extraction degree

water flooding degree

abundance of remaining oil storage

porosity

variable coefficient of permeability

reservoir depth

oil content

and permeability. Based on the fuzzy clustering analysis

we classified the small layers into three groups. Each set of schemes was divided into two sets of layers. Then

we used the numerical simulation to predict and contrast the annual oil production

recovery

and moisture content of three schemes in 10 years later to get the preferred plan. The experimental results confirmed the feasiblility of the fuzzy clustering method in the optimization of the layer system.