Том: 16767 LNCS , Год издания: 2027

In this study, we have developed a novel seismic data enhancement approach along with its corresponding software implementation that enables comprehensive processing of data in the 5D domain. The primary objective of this development is to establish a robust and computationally efficient methodology capable of producing optimal data enhancement results. Our approach is fundamentally based on the integration of two key techniques: seismic data super-grouping and non-linear beamforming. While each of these techniques individually operates using two spatial coordinates and one time coordinate, it is important to note that complete seismic datasets actually contain four spatial coordinates. To address this dimensionality challenge, we have developed an innovative integration of these techniques that effectively accounts for all four spatial coordinates simultaneously, thereby providing a more comprehensive and robust solution. A significant portion of our research has focused on systematically investigating the most suitable data domains for optimal performance when applying super-grouping and beamforming in combination. Through this investigation, we have identified and characterized several effective domain configuration options. The primary domain configuration employs the cross-spread domain for beamforming operations while utilizing its orthogonal counterpart for super-grouping. An alternative important configuration option utilizes the offset domain for beamforming while employing the central point domain for super-grouping operations. Furthermore, we have developed optimal data sampling strategies that are specifically tailored to different data geometries. Additionally, we have implemented several significant optimizations that enhance the standard application of non-linear beamforming, improving both its efficiency and effectiveness. To complete this comprehensive development, we have created specialized software that implements our enhanced methodology. The performance and capabilities of both our algorithmic approach and its software implementation have been rigorously evaluated through extensive testing. These evaluations have included both synthetic datasets and real seismic data acquired from the Arabian Plate. The results of these tests conclusively demonstrate the proposed methodologys capabilities and effectiveness, validating its practical utility for seismic data enhancement applications.