Quantum-assisted near surface analysis of seismic data

A system for near surface analysis of seismic data, the system comprising:

• a hybrid classical and quantum solver;
• at least one processor and a memory storing instructions that when executed by the at least one processor cause the at least one processor to perform operations comprising:
• obtaining seismic data for a subsurface formation;
• forming one or more seismic gathers by sorting the seismic data into a plurality of bins based on a midpoint and an offset between a source and a receiver associated with the seismic data;
• determining, using the hybrid classical and quantum solver, surface consistent refraction phase and amplitude residuals by maximizing the stack power of the one or more seismic gathers wherein a classical portion of the hybrid classical and quantum solver defines and partitions a stack power maximization and a quantum portion of the hybrid classical and quantum solver finds a maximum stack power of the partitions through quantum annealing;
• and
• performing refraction-based surface consistent amplitude and phase correction to the one or more seismic gathers by applying the surface consistent refraction phase and amplitude residuals,
• wherein the surface consistent refraction phase and amplitude residual correction reduces distortions in the one or more seismic gathers.

One or more non-transitory, machine-readable storage devices storing instructions for near surface analysis of seismic data, the instructions being executable by one or more processors, to cause performance of operations comprising:

• obtaining seismic data for a subsurface formation;
• forming one or more seismic gathers by sorting the seismic data into a plurality of bins based on a midpoint and an offset between a source and a receiver associated with the seismic data;
• determining, using a hybrid classical and quantum solver, surface consistent refraction phase and amplitude residuals by maximizing the stack power of the one or more seismic gathers wherein a classical portion of the hybrid classical and quantum solver defines and partitions a stack power maximization and a quantum portion of the hybrid classical and quantum solver finds a maximum stack power of the partitions through quantum annealing;
• and
• performing refraction-based surface consistent amplitude and phase correction to the one or more seismic gathers by applying the surface consistent refraction phase and amplitude residuals,
• wherein the surface consistent refraction phase and amplitude residual correction reduces distortions in the one or more seismic gathers.