An effective data processing flow for the acoustic reflection image logging

Recent studies have revealed the great potential of acoustic reflection logging in detecting near borehole fractures and vugs. The new design of acoustic reflection imaging tool with a closest spacing of 10.6m and a certain degree of phase steering makes it easier to extract the reflection signals from the borehole mode waves. For field applications of the tool, we had developed the corresponding processing software: Acoustic Reflection Imaging. In this paper, we have further developed an effective data processing flow by employing multi‐scale slowness‐time‐coherence for reflection wave extraction and incorporating reverse time migration for imaging complicated subtle structures with the strong effects of borehole environment. Applications of the processing flow to synthetic data of acoustic reflection logging in a fractured formation model and interface model with fluid filled borehole generated by 2D finite difference method, and to the physical modelling data from a laboratory water tank, as well as to the field data from two wells in a western Chinese oil field, demonstrate the validity and capability of our multi‐scale slowness‐time‐coherence and reverse time migration algorithms.