Optimal Stack With Illumination-Based Weighting
Chengliang Wu, Rongwei Xu, Longxiang Han, Bo Feng, Huazhong Wang · IEEE Transactions on Geoscience and Remote Sensing · 2025
In seismic exploration, the technique of multiple coverage significantly enhances the quality of migration imaging. Migration imaging results are obtained by stacking the common-image gathers (CIGs) from different shot-receiver pairs. However, due to the irregular observation system and the propagation of seismic waves through complex subsurface media, the illumination intensity of CIGs from different shot-receiver pairs is uneven. Conventional stacking methods often overlook the impact of uneven illumination, resulting in inaccurate amplitudes in the imaging results and poorer imaging quality. In this article, we propose an amplitude-preserving stacking imaging method based on illumination weighting. First, we distinguish the illumination areas by constructing a self-organizing mapping network based on feature attributes. Only regions with high and consistently similar imaging wavelets are considered effective illumination and are included in the stacking imaging process. Then, we implement optimal stacking with an illumination-weighted operator designed based on the energy variation relationship in the effective areas. The proposed method can obtain amplitude-preserving and high-resolution stacking results and enhance imaging quality. Finally, the effectiveness of the proposed method is tested using synthetic and field data.