Seismic　random　noise　attenuation　plays　an　important　role　in　seismic　signal　processing　and　geological　interpretation.　Due　to　seismic　signal　is　a　typical　broadband　signal,　which　makes　it　difficult　to　attenuate　random　noises　contained　in　the　whole　frequency　of　raw　seismic　data.　Moreover,　tunning　parameters　in　denoising　methods　is　a　difficult　task,　especially　for　filtering　field　data.　To　address　the　above　issues,　We　propose　a　multichannel　denoising　scheme,　termed　as　multi-channel　variational　mode　decomposition　(MVMD)　based　multi-channel　singular　spectrum　analysis　(MSSA).　The　proposed　method　first　decomposes　seismic　data　into　several　intrinsic　mode　functions　(IMFs)　with　different　center　frequencies　and　bandwidths.　Then,　we　adopt　MSSA　for　each　IMF　by　selecting　different　tunning　parameters.　To　demonstrate　the　effectiveness　of　the　proposed　method,　we　apply　it　to　field　data　and　compare　the　filtered　results　with　the　traditional　methods.　©　2021　Society　of　Exploration　Geophysicists　First　International　Meeting　for　Applied　Geoscience　&　Energy