Abstract: The present disclosure provides a method and a device for imaging diffracted waves based on azimuth-dip angle gathers and a storage medium, which relates to the technical field of seismic exploration, comprising firstly acquiring seismic data and generating target azimuth-dip angle gathers based on the seismic data, wherein the target azimuth-dip angle gathers are a set of all azimuth-dip angle gathers in which the Fresnel zones have been muted, and each of the azimuth-dip angle gathers represents a dip-angle gather corresponding to each azimuth angle; then detecting diffracted waves based on the target azimuth-dip angle gathers, and determining the type of the diffracted waves; and finally, imaging the diffracted waves based on the type of the diffracted waves to obtain a diffracted wave imaging result.

Abstract: The present disclosure provides a method and a device for imaging diffracted waves based on azimuth-dip angle gathers and a storage medium, which relates to the technical field of seismic exploration, comprising firstly acquiring seismic data and generating target azimuth-dip angle gathers based on the seismic data, wherein the target azimuth-dip angle gathers are a set of all azimuth-dip angle gathers in which the Fresnel zones have been muted, and each of the azimuth-dip angle gathers represents a dip-angle gather corresponding to each azimuth angle; then detecting diffracted waves based on the target azimuth-dip angle gathers, and determining the type of the diffracted waves; and finally, imaging the diffracted waves based on the type of the diffracted waves to obtain a diffracted wave imaging result.

Abstract: A data optimization method and an integral prestack depth migration method are provided, including acquiring a target matrix to be optimized; generating a first sequence according to the target matrix; rarefying the first sequence according to a preset grid density to obtain a value position of each element of a second sequence, and working out a value of each element of the second sequence on the basis of the principle of least squares; performing interpolation on the second sequence to obtain a third sequence; calculating a target matrix corresponding to the third sequence; calculating an error between the target matrix to be optimized and the target matrix corresponding to the third sequence; recording, when the error is less than the first error threshold, the target matrix corresponding to the above second sequence as an optimized target matrix of the target matrix to be optimized.

Abstract: A data optimization method and an integral prestack depth migration method are provided, including acquiring a target matrix to be optimized; generating a first sequence according to the target matrix; rarefying the first sequence according to a preset grid density to obtain a value position of each element of a second sequence, and working out a value of each element of the second sequence on the basis of the principle of least squares; performing interpolation on the second sequence to obtain a third sequence; calculating a target matrix corresponding to the third sequence; calculating an error between the target matrix to be optimized and the target matrix corresponding to the third sequence; recording, when the error is less than the first error threshold, the target matrix corresponding to the above second sequence as an optimized target matrix of the target matrix to be optimized.