Abstract: A method for fault and fracture identification based on seismic data representing a geological section using dispersion properties of reflected and diffracted waves. The method includes scanning N parameters associated with the seismic data. The array includes the coordinate axes of the angle of emergence (?), the radius of curvature of the wave front (R) and either time or depth samples. The method also includes processing the N parameters, generating a new image having a cross-sectional shape associated with one of the reflected and diffracted waves, calculating parameters DS and LS, evaluating DS for the case of fracture characterization, and comparing, for the case of fault identification, parameter LS with a threshold value defining the type of wave as one of the reflected and diffracted wave, the cross-sectional shape being substantially circular for the reflected wave, and being elliptical for the diffracted wave.

Abstract: A computer-implemented method for processing data includes accepting a first collection of traces corresponding to signals received over time due to reflection of seismic waves from subsurface structures. A Radon transform is defined with respect to a set of wavefront parameters of the seismic waves. The transform defines a summation of amplitudes of the seismic waves over trajectories defined by the wavefront parameters. The Radon transform is applied to the first collection of traces, so as to convert the first collection into a multidimensional data array that is defined as a function of at least two of the wavefront parameters. The multidimensional data array is processed to produce a second collection of traces having an improved imaging quality with respect to the first collection. The second collection of traces is processed to generate a seismic image of the subsurface structures at the improved imaging quality.

Abstract: A method for fault and fracture identification based on seismic data representing a geological section using dispersion properties of reflected and diffracted waves. The method includes scanning N parameters associated with the seismic data. The array includes the coordinate axes of the angle of emergence (?), the radius of curvature of the wave front (R) and either time or depth samples. The method also includes processing the N parameters, generating a new image having a cross-sectional shape associated with one of the reflected and diffracted waves, calculating parameters DS and LS, evaluating DS for the case of fracture characterization, and comparing, for the case of fault identification, parameter LS with a threshold value defining the type of wave as one of the reflected and diffracted wave, the cross-sectional shape being substantially circular for the reflected wave, and being elliptical for the diffracted wave.

Abstract: A computer-implemented method for processing data includes receiving a collection of traces corresponding to signals received over time at multiple locations due to reflection of seismic waves from subsurface structures. A measure of correlation among the traces as is computed a function of a set of wavefront parameters, which determine respective moveout corrections to be applied in aligning the traces. A matrix having at least three dimensions is generated, wherein the elements of the matrix include the computed measure of the correlation. Using the matrix, values of the wavefront parameters are identified automatically or interactively along the time axis or along selected horizons to maximize the measure of the correlation, and a seismic image of the subsurface structures is generated by aligning and integrating the traces using the moveout corrections that are determined by the identified values of the wavefront parameters.

Abstract: A computer-implemented method for processing data includes receiving a collection of traces corresponding to signals received over time at multiple locations due to reflection of seismic waves from subsurface structures. A measure of correlation among the traces as is computed a function of a set of wavefront parameters, which determine respective moveout corrections to be applied in aligning the traces. A matrix having at least three dimensions is generated, wherein the elements of the matrix include the computed measure of the correlation. Using the matrix, values of the wavefront parameters are identified automatically or interactively along the time axis or along selected horizons to maximize the measure of the correlation, and a seismic image of the subsurface structures is generated by aligning and integrating the traces using the moveout corrections that are determined by the identified values of the wavefront parameters.

Abstract: A computer-implemented method for processing data includes accepting a first collection of traces corresponding to signals received over time due to reflection of seismic waves from subsurface structures. A Radon transform is defined with respect to a set of wavefront parameters of the seismic waves. The transform defines a summation of amplitudes of the seismic waves over trajectories defined by the wavefront parameters. The Radon transform is applied to the first collection of traces, so as to convert the first collection into a multidimensional data array that is defined as a function of at least two of the wavefront parameters. The multidimensional data array is processed to produce a second collection of traces having an improved imaging quality with respect to the first collection. The second collection of traces is processed to generate a seismic image of the subsurface structures at the improved imaging quality.

Abstract: A computer-implemented method for processing data includes receiving a collection of traces corresponding to signals received over time at multiple locations due to reflection of seismic waves from subsurface structures. A measure of correlation among the traces as is computed a function of a set of wavefront parameters, which determine respective moveout corrections to be applied in aligning the traces. A matrix having at least three dimensions is generated, wherein the elements of the matrix include the computed measure of the correlation. Using the matrix, values of the wavefront parameters are identified automatically or interactively along the time axis or along selected horizons to maximize the measure of the correlation, and a seismic image of the subsurface structures is generated by aligning and integrating the traces using the moveout corrections that are determined by the identified values of the wavefront parameters.