Quantum-assisted near surface analysis of seismic data

Abstract

Systems and methods for near surface analysis of seismic data include 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. A classical portion of the hybrid solver defines and partitions a stack power maximization, and a quantum portion of the hybrid solver finds a maximum stack power of the partitions through quantum annealing. Refraction-based surface consistent amplitude and phase corrections are performed on the one or more seismic gathers by applying the surface consistent refraction phase and amplitude residuals.