Method and device for quantitatively predicting reservoir thickness based on partition attribute fitting

The invention discloses a method and device for quantitatively predicting the thickness of a reservoir based on partition attribute fitting, and the method comprises the steps: carrying out the seismic attribute analysis of the top and bottom surfaces of the reservoir, obtaining a first sensitive seismic attribute, and determining the partition range of the reservoir according to the correlation between the first sensitive seismic attribute and the thickness of the reservoir; projecting the data in the reservoir partition range, acquiring plane distribution of the data in the reservoir partition range, and determining reservoir plane partitions according to the second sensitive seismic attribute; and establishing a relationship between the third sensitive seismic attribute and the reservoir thickness in the reservoir plane partition, obtaining the fitted partition reservoir thickness according to the relationship, carrying out weighted fusion on the fitted partition reservoir thickness, and quantitatively pre