The invention relates to a correction method for oil chromatogram on-line device noise data. The method comprises the steps of: 1) collecting oil chromatogram off-line test and on-line monitoring data; 2) acquiring an optimal combination of important parameters in a support vector machine regression model by a firefly algorithm; 3) training the support vector machine by the minority accurate oil chromatogram off-line test data obtained in step1) so as to the support vector machine regression model; 4) initializing the allowable deviation radius h of the on-line monitoring data, calculating a piecewise function between off-line tests, and judging whether the data of oil chromatogram on-line monitoring are in an error range allowed by the model; 5) correcting the on-line data; and 6) adjusting the parameters in the model according to a feedback result of on-site data correction. The method for oil chromatogram on-line data correction provided in the invention has the characteristics of stable and accurate effect, short time, and good timeliness, thus being very suitable for correction of on-site oil chromatogram on-line data.