Systematic errors are encountered in the interpretation of pressure data from different instruments in the eastern South China Sea；as a result，the correlation between mobility and core permeability is poor，and the matching between the permeability from pressure measurement and DST is low. Aiming at the Paleogene low permeability reservoirs in the eastern South China Sea，this paper improved the quantitative evaluation standard of pressure data quality and unified the method for mobility calculation. Reservoir pollution was analyzed to build a mobility correction model，and the discriminant function of pollution was established by the Bayesian discriminant method for pollution discrimination and correction. In addition，given the dynamic permeability from wireline formation testing and the static permeability from core analysis，the upscaling permeability conversion model was constructed considering logging permeability. The results demonstrate that the permeability corrected by pressure measurement and the logging permeability calibrated by core permeability are in good agreement，and the upscaling permeability is obtained by conversion and close to DST permeability. This study significantly improves the permeability evaluation accuracy of pressure data.