De-noising of 3D seismic data using multichannel singular spectrum based time slice and horizon processing
R Rajesh, Ram Krishna Tiwari, Mrinal Kanti Sen, Nimisha Vedanthi · 2015
Summary We present a multichannel singular spectrum based algorithm in time domain for de-noising 3D seismic volumes and horizons. First, we apply the method on 3D synthetic seismic data to assess the performance and then to a real post-stack seismic reflection dataset from Sleipner, an offshore CO2 storage site, Norway. Our analyses suggest that the time slice multichannel singular spectrum processing scheme increases the S/N ratio both in the 3D synthetic and field data. Our results reveal geologically inferred inter-reservoir reflectors, which were hindered by the noise. Further, we applied the method on the Utsira Top horizon data, which resolves the amplitude anomalies associated with the CO2 accumulation in the Utsira horizon. Thus we are able to demonstrate that the multichannel singular spectrum based time-slice and horizon processing techniques are useful for de-noising of 3D seismic volume and horizon data.