Waveform processing utilizing an amplitude adaptive data mask

Abstract

The disclosure is directed to waveform processing methods for collected sonic logging data. The data can be collected from various types of well systems. The methods utilize an amplitude analysis, utilizing the collected data, to build an adaptive data mask. The adaptive data mask can then be applied to a semblance analysis of the collected data to suppress or partially suppress alias data elements. A threshold parameter can be utilized to eliminate intensity values that do not satisfy the threshold criteria. The adaptive data mask can utilize amplitude or instantaneous amplitude analysis. Also, disclosed is a computer program product capable of executing the methods and algorithms described herein. A waveform processing system is disclosed that can perform the methods and algorithms as described herein.

Dependencies are inferred from the claim text.