One　important　application　of　time-frequency　analysis　(TFA)　is　seismic　spectral　decomposition　for　reservoir　characterization.　However,　traditional　seismic　TFA　techniques　are　usually　limited　by　diffused　TF　distribution,　which　can　result　in　unreliable　seismic　interpretations.　Synchrosqueezing　transform　(SST)　is　an　effective　TFA　method　that　improves　the　concentration　of　the　TF　representation　(TFR)　of　nonstationary　signals.　However,　for　the　signal　with　a　rapidly　varying　instantaneous　frequency,　the　SST　method　suffers　from　a　blurred　TFR.　In　this　letter,　we　propose　a　novel　TFA　method　called　time-synchroextracting　transform　(TSET)　that　provides　highly　concentrated　TFR　for　transient　signals　where　the　TF　curve　is　nearly　parallel　to　the　frequency　axis.　We　applied　the　proposed　TSET　to　synthetic　signals　and　field　seismic　data　to　verify　its　validity　of　time　localization　and　effective　delineation　of　subsurface　geological　information.