Multi-resolution based method for automated acoustic log depth tracking

A method of characterizing properties of structures of interest in a formation traversed by a borehole, comprising:

• operating a sonic logging tool in the borehole to transmit acoustic signals that probe nearby formation structures and to receive acoustic signals that result from interaction with the nearby formation structures;
• generating waveform data associated with the received acoustic signals as a function of measured depth in the borehole;
• acquiring and/or processing the waveform data to identify or label clusters of Slowness-Time-Coherence peaks;
• tracking at least one cluster of Slowness-Time-Coherence peaks over varying depth values;
• performing a coherence optimization process on the at least one cluster of Slowness-Time-Coherence peaks to produce data;
• generating a log of an acoustic property of the formation as a function of depth based on the data produced by the coherence optimization process;
• using an optimization process to determine the acoustic property;
• and
• applying a tracking algorithm to cluster vertices of different resolution Slowness-Time-Coherence peaks,
• wherein the optimization process is a multi-resolution based coherence optimization process which includes grouping the different resolution Slowness-Time-Coherence peaks, and
• wherein a machine-learning based algorithm is used to perform the grouping of the different resolution Slowness-Time-Coherence peaks.