Deghosting of seismic data through echo-deblending using coincidence filtering

One or more non-transitory computer-readable storage media coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

• receiving an offshore seismic dataset of a surveyed subsurface, the offshore seismic dataset comprising a primary-wave signal and a ghost-wave signal;
• determining a forward extrapolation and a backward extrapolation for the offshore seismic dataset;
• determining a coincident signal by applying a coincidence filtering to the forward extrapolation and the backward extrapolation;
• extrapolating the coincident signal to determine a ghost-wave value for the ghost-wave signal;
• applying adaptive subtraction to the offshore seismic dataset with the ghost-wave value to determine a computed primary-wave value for the primary-wave signal;
• generating a model of the surveyed subsurface based on primary-wave data calculated from the offshore seismic dataset based on the computed primary-wave value;
• and
• evaluating a productivity of the surveyed subsurface according to the model.

A system, comprising:

• a mechanical wave source configured to emit a pressure wavefield;
• a detector configured to receive at least a portion of the emitted pressure wavefield as a primary-wave signal and a ghost-wave signal;
• one or more processors;
• and
• a computer-readable storage device coupled to the one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• receiving, from the detector, an offshore seismic dataset of a surveyed subsurface, the offshore seismic dataset comprising the primary-wave signal and the ghost-wave signal;
• determining a forward extrapolation and a backward extrapolation for the offshore seismic dataset;
• determining a coincident signal by applying a coincidence filtering to the forward extrapolation and the backward extrapolation;
• extrapolating the coincident signal to determine a ghost-wave value for the ghost-wave signal;
• applying adaptive subtraction to the offshore seismic dataset with the ghost-wave value to determine a computed primary-wave value for the primary-wave signal;
• generating a model of the surveyed subsurface based on primary-wave data calculated from the offshore seismic dataset based on the computed primary-wave value;
• and
• evaluating a productivity of the surveyed subsurface according to the model.