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Abstract First-arrival time picking is a fundamental and critical step in seismic data processing. The conventional Akaike Information Criterion (AIC) method is widely used due to its computational simplicity and lack of fixed threshold requirements. However, its stability and accuracy are limited by the artificially designed features. We propose a data-driven enhanced AIC algorithm (DEAIC) to improve the accuracy of first-arrival time detection.
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