This case study aims to determine the effect of five-dimensional regularization and interpolation on seismic subsurface imaging, particularly focusing on impacts to noise attenuation, velocity analysis, and migration. Advanced seismic processing requires high fold coverage and regular cross-spread data to attain good noise attenuation and common offset vectors for appropriate migration. Complex geological scenarios pose substantial challenges for subsurface imagers and interpreters. Stratton Field, USA, contains a major fault, Agua Dulce, along with many smaller faults and thus requires dense acquisition for high-resolution subsurface imaging to reduce migration smiles. Data were processed twice, the first migration without 5D regularization and interpolation and the second with 5D regularization and interpolation. The migration without 5D regularization and interpolation was found to suffer from acquisition footprints, migration smiles and a lack of amplitude versus offset (AVO) behavior, whereas the subsurface image was enhanced with 5D regularization and interpolation and improved in terms of AVO behavior.

本案例研究旨在确定五维正则化和插值对地震地下成像的影响，特别是关注对噪声衰减，速度分析和偏移的影响。先进的地震处理要求高倍覆盖率和规则的交叉扩展数据，以实现良好的噪声衰减和通用偏移矢量，以实现适当的偏移。复杂的地质情况对地下成像仪和解释仪提出了严峻的挑战。美国斯特拉顿油田包含一个主要断层Agua Dulce，以及许多较小的断层，因此需要密集采集以进行高分辨率的地下成像，以减少迁移的微笑。数据处理了两次，第一次迁移没有5D正则化和内插，第二次迁移了5D正则化和内插。相对偏移（AVO）行为，而地下图像则通过5D正则化和插值得到增强，并且在AVO行为方面得到了改善。