The invention relates to a quantitative prediction method for a slope break belt by utilizing seismic data. The method comprises A according to the
background data, such as geology and earthquake, performing fine three dimensional seismic
horizon explanation for the series of strata of the developed slope break belt, and obtaining the
horizon data of the target
horizon; B solving the gradient and the
exposure value of the target horizon; C according to the gradient and the
distribution characteristic on an
exposure planar graph, preliminarily identifying the distribution range of the slope break belt; if the boundary of the slope break belt is clear, directly solving the geometrical parameters of the slope break belt: rupture, slope
toe, gradient, altitude difference and horizontal width; if the boundary of the slope break belt is fuzzy (such as influence of breakage), performing the step D; D counting and solving the mean value theta for all the
exposure values in the preliminarily identified slope break belt range; E taking the theta as the center and
Delta as the step length, scanning and solving the optimal apparent gradient Phi in the theta+-Epsilon range; and F according to the solved optimal apparent gradient in the step E, identifying the boundary of the slope break belt, and respectively solving the geometrical parameters of the slope break belt. The quantitative prediction method for a slope break belt by utilizing seismic data can realize plane depiction of the gradient of the slope break belt, and can improve the accuracy for gradient calculation.