Depth imaging using innovative algorithm for high-resolution seismic

The use of high resolution imaging is important and quickly gaining momentum in oil and gas industry as the need of the industry moves toward exploiting smaller hydrocarbon traps in complex structure. The principal goal of seismic imaging is to get a subsurface image and structural features with greatest sharpness or resolution. This super resolution seismic data is a great input to the interpreters for instant identification of small scale events, to locate the pinch-out positions of the formation and edges of the subsurface irregularities, such as fractured reservoirs and salt bodies. With the advent of time, these diffracted waves are recognized as physically reliable carriers of high resolution structural imaging. In this paper, we have proposed an algorithm which is based on low-rank symbol approximation modelling for generating a dispersion free data for diffraction and full-wave imaging. The experiment of the modeling is performed on the Marmousi (Fractured model), the modeling results by the proposed low-rank modelling is very clearer than with the conventional finite difference method. We shows the difference in imaging results using conventional migration and proposed diffraction migration, which demonstrate how this can be leveraged to assess characteristic of subsurface feature and enhanced the amplitude of the data.