The invention relates to a method for predicating an underground fault of a sucker-rod pump oil pumping well on the basis of a multivariable grey model. The method comprises the following steps of: collecting a ground indicating diagram by an indicating diagram remote data collecting system; converting the ground indicating diagram into an underground pump indicating diagram; extracting a curve moment feature vector capable of representing the graphic feature of the underground pump indicating diagram according to the curve moment theory; predicating each feature vector by the multivariable grey model; and calculating the grey correlation degree of each fault type in predicating samples and standards sets, wherein the fault type corresponding to the maximum grey correlation degree is the fault type of the predicating samples. The working system of the oil pumping well can be reasonably regulated, so that the production efficiency of the oil pumping well is improved, and the fault predication on the underground work condition of the sucker-rod pump oil pumping well can be realized; the calculation is simple, the required samples are few, and the model is applicable to data sets in any distribution; and the prediction accuracy is high, and particularly, the prediction precision on the gradually varied fault type is high.