The present project aims to process seismic data already acquired in the portion referring to the water column, integrating oceanography and reflection seismic, to obtain oceanographic parameters. The processing aims to detail the behavior of sound speed and temperature in the water column, as well as remotely identify water masses and the presence of internal waves, as a subsidy for increasing the quality of subsurface imaging during seismic surveys. Estimating these parameters using acoustic methods brings two major advantages compared to conventional measurement methods: (1) the possibility of estimating the parameters using reflection seismic data itself, which makes it unnecessary to stop vessels during surveys for measurements with CTD or XBT and (2) a much larger sampling of the environment, allowing the use of much more detailed models in correcting for overtime and data migration from seismic measurements. The creation of new, more detailed sound speed models in the water column brings a significant improvement in the processing of seismic data, increasing the quality of the seismograms obtained and, consequently, facilitating the location and monitoring of oil and gas wells and other subsurface structures