Document Type : Research Paper

Author

• Maysam Abedi

Petroleum Engineering and Geophysics Laboratory, School of Mining Engineering, College of Engineering University of Tehran, Iran

Abstract

Airborne gravity gradient surveys yield comprehensive measurements of the Earth's gravity tensor, offering critical insights for geological structural analysis. These data facilitate the delineation of subsurface sources and the spatial extent of structures responsible for gravity anomalies through the integrated interpretation of each tensor component. Given the inherent gradient nature of the acquired data, their combined analysis serves as a robust tool for enhancing structural boundary detection. However, airborne gravity gradient measurements are often significantly contaminated by noise, necessitating the direct utilization of tensor components without further re-derivative to ensure reliable identification of buried targets. In this study, we employ a novel sigmoid derivative function applied to the normalized components of the directional analytical signal of the gradient tensor to improve the resolution of buried target boundaries.

Keywords

• Full tensor
• Gravity data
• Edge enhancement
• Sigmoid function
• Simulation