Abstract: A method is described for seismic imaging that receives a field seismic dataset and a synthetic seismic dataset wherein the synthetic seismic dataset is generated with no or known attribute variation with angle or other spatial coordinates; applies seismic processing to the field seismic dataset and the synthetic seismic dataset to generate a processed field seismic dataset and a processed synthetic seismic dataset wherein the processed field seismic dataset and the processed synthetic seismic dataset each contain attribute distortion due to the seismic processing; and corrects the attribute distortion in the field seismic dataset based on the distortion assessed from the processed synthetic seismic dataset to generate a corrected processed field dataset. The method may be executed by a computer system.

Abstract: A method is described for seismic imaging of the subsurface using dip-guided optimized stacking. The method computes weighting functions for a plurality of single-shot migrated images, unstacked seismic images, or partially stacked seismic images based on a slant stack performed using an input dip dataset; applying the plurality of weighting functions to the plurality of single-shot migrated images, unstacked seismic images, or partially stacked seismic images, or a plurality of dip-filtered images to create a plurality of weighted images; and summing the plurality of weighted images into a stacked seismic image. The method may be executed by a computer system.

Abstract: A method is described for seismic imaging of the subsurface using dip-guided optimized stacking. The method computes weighting functions for a plurality of single-shot migrated images, unstacked seismic images, or partially stacked seismic images based on a slant stack performed using an input dip dataset; applying the plurality of weighting functions to the plurality of single-shot migrated images, unstacked seismic images, or partially stacked seismic images, or a plurality of dip-filtered images to create a plurality of weighted images; and summing the plurality of weighted images into a stacked seismic image. The method may be executed by a computer system.

Abstract: A method for determining values of anisotropic model parameters of a Tilted Transversely Isotropic (TTI) Earth model, the method including obtaining an initial TTI earth model that substantially flattens common-imaging-point gathers and substantially ties seismic data to well data; inputting checkshot data and/or VSP data to determine updated values of Vp0 near the well locations; determining an incremental improvement ??; extrapolating the relative change ?? from near-well locations to the entire three dimensional TTI earth model; determining updated values of Vp0=Vp0 (1???); inputting near-to-mid-offset/angle and mid-to-far-offset/angle residual moveout information; and providing updated values of ? and ?.

Abstract: A method for determining values of anisotropic model parameters of a Tilted Transversely Isotropic (TTI) Earth model, the method including obtaining an initial TTI earth model that substantially flattens common-imaging-point gathers and substantially ties seismic data to well data; inputting checkshot data and/or VSP data to determine updated values of Vp0 near the well locations; determining an incremental improvement ??; extrapolating the relative change ?? from near-well locations to the entire three dimensional TTI earth model; determining updated values of Vp0=Vp0 (1???); inputting near-to-mid-offset/angle and mid-to-far-offset/angle residual moveout information; and providing updated values of ? and ?.

Abstract: A method for determining values of anisotropic model parameters of a Tilted Transversely Isotropic (TTI) Earth model, the anisotropic parameters including P-wave velocity (Vp0) along a tilted symmetry axis, the Thomsen anisotropy parameters ? and ? (or ?=(???)/(1+2?)) representative of variations of wave velocities as a function of wave propagation angle from the symmetry axis, the method including acquiring input data for a geological volume of interest; determining a theoretical relationship between the input data and the anisotropic model parameters; and calculating the values of the anisotropic model parameters at each of a plurality of subsurface locations in the geological volume of interest based on the theoretical relationships and the input data using workflows involving iterative or sequential combinations of processes including input data preprocessing, conventional tomographic inversion, three dimensional tomographic inversion based on a tilted transversely isotropic model, and three dimensional p