As a high-throughput element distribution analysis technique for metal surface with a large size original position statistic distribution analysis (OPA) combined with spark source atomic emission spectrometry has been developed for more than ten years with the advantage of rapid analysis speed, simultaneous locating acquisition of multi-element signals and large information of statistic analysis. This technique has been widely used in the casting billet segregation analysis for medium and low alloyed steel. In this paper, OPA technique with spark source was used for the distribution analysis of main alloy elements such as Al, Cr, Co, Ti, W, Mo, Nb in FGH96 super-alloy turbine disk prepared by casting& forging deformation. The quantitative statistic analysis of these elements has been obtained by the application of appropriate calibration curves. Fix point analysis in different turbine disk position from wheel hub to flange was done by direct-reading spectrometer and a good agreement of the results of two methods has been obtained. It was found that the statistic segregation degree of the most of the elements in turbine disk is less than 5% except the element of Nb. The distribution in different position of turbine disk was varied with different type of cooling in disk. A certain segregation of carbide forming elements such as Ti and Nb existed in disk flange and the content of elements increased and on the contrary the inhomogeneousdistribution of Co, W, Mo occurred in the middle part of turbine disk. Carbides with a large size were also observed by scanning electron microscope combined with energy spectrum analysis and it can be a further evidence to explain the existence of the segregation of Nb and Ti in disk flange. The element distributionquantitative analysis results will guide the preparation of FGH96 alloy turbine disk by new casting & forging deformation technology and help improve performance.