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Abstract: BiLSTM-Based Low-Frequency Extrapolation: Generalizing from Synthetic Training to Field Airgun Data (AGU25)

BiLSTM-Based Low-Frequency Extrapolation: Generalizing from Synthetic Training to Field Airgun Data

Ivan Deiana, Stanford University, Stanford, CA, United States, Giacomo Roncoroni, University of Trieste, Trieste, Italy, Biondo Leonardo Biondi, Stanford University, Geophysics, Stanford, CA, United States and Shuki Ronen, Stanford University, Stanford, United States
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