Optimal Stack With Illumination-Based Weighting

doi:10.1109/TGRS.2025.3529941

Optimal Stack With Illumination-Based Weighting

2025-01-01

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王华忠 (Huazhong Wang) *

DOI：10.1109/TGRS.2025.3529941

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Abstract

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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.

Keywords:

Stacking

Imaging

Lighting

Vectors

Noise

Neurons

Signal to noise ratio

Indexes

Self-organizing feature maps

Filters

Common-image gathers (CIGs)

illumination

optimal weight

stacking

Optimal Stack With Illumination-Based Weighting

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