Enhancing Far-Field Acoustic Logging Imaging Using Receivers’ Rotation Correction Algorithm

This study presents a novel approach to improve the quality of far-field acoustic logging images by correcting for tool rotation during data acquisition. The proposed algorithm transforms the measured wavefield components from the rotating tool frame into a consistent, fixed coordinate system, preserving directional information and enabling accurate subsurface imaging. The transformation equations are derived and applied to dipole acoustic data, demonstrating the effectiveness of the rotation correction algorithm in enhancing image quality and facilitating consistent migration and interpretation of subsurface structures. The results highlight the importance of tool rotation correction as a key pre-processing technique for optimizing energy recorded from geological formation reflectors, particularly in deviated wells where tool rotation can compromise directional information.