Peak tracking and rejection in acoustic logs
作者： Grant Philip Goodyear , Batakrishna Mandal , Kristoffer Thomas Walker
DOI:
关键词: Artificial intelligence 、 Signal of interest 、 Amplitude 、 Coherence (signal processing) 、 Computer vision 、 Geography
摘要: Disclosed herein is an approach to improving the accuracy of signal-peak tracking in acoustic logs by supplementing a semblance method used detect signal peaks individual coherence-, correlation- or amplitude-based maps with consistency checks based on rock-physics constraints and/or history future data for interest.
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