Seismic　attenuation　estimation　is　a　significant　task　for　characterizing　reservoirs　and　improving　the　resolution　of　seismic　data.　The　logarithmic　spectral　ratio　(LSR)　is　one　of　the　widely　used　tools　for　seismic　attenuation　estimation.　However,　how　to　select　a　suitable　frequency　bandwidth　for　the　LSR　is　a　difficult　task,　especially　for　field　data.　Moreover,　field　data　are　often　contained　kinds　of　noises,　which　makes　seismic　attenuation　estimation　difficult　and　unstable.　We　proposed　an　enhanced　LSR　(ELSR)　workflow　to　estimate　seismic　attenuation.　First,　we　built　a　sparse　S-transform　(SST)　to　obtain　a　sparse　time-frequency　(TF)　spectrum　of　the　analyzed　seismic　trace.　Then,　based　on　the　SST　spectrum,　we　introduced　an　ELSR　workflow　to　estimate　seismic　attenuation.　It　should　be　noticed　that　we　provided　an　adaptive　frequency　band　selection　for　the　LSR.　To　demonstrate　the　effectiveness　of　the　proposed　workflow,　we　apply　it　on　both　synthetic　and　field　data.　Compared　with　the　results　from　several　traditional　attenuation　estimation　methods,　the　proposed　ELSR　provides　a　more　stable　and　more　accurate　attenuation　estimation　result　and　offers　the　potentials　in　improving　the　resolution　of　post-stacked　seismic　data.