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Prediction of signatures of airgun arrays using dual near-field hydrophones
Authors:Maksym Kryvohuz  Xander Campman
Institution:1. Shell International Exploration and Production Inc., 150 North Dairy Ashford Road, Houston TX 77079 USA;2. Shell Global Solutions International BV, Lange Kleiweg 40, 2288 GK Rijswijk, The Netherlands
Abstract:Successful estimation of airgun-array signatures from near-field measurements depends on the accuracy of poorly controlled model parameters such as the effective sea surface reflection coefficient and source depth. We propose a method for prediction of robust source signatures, which are insensitive to fluctuations of the latter parameters. The method uses vertical pairs of near-field hydrophones to measure near-field pressure and its vertical gradient, combination of which eliminates sea surface reflections from the near-field data. This excludes the uncertainty related to the fluctuating sea state and source depth from the process of inversion of the near-field data for source signature. The method explicitly separates the recorded near-field pressure into its up and down going components, which allows one to measure the effective frequency- and angle-dependent sea surface reflection coefficient right at the source, as well as to estimate the actual source depth. Tests on synthetic and field data demonstrate robust performance of the method.
Keywords:Acoustics  Acquisition  Modelling  Multicomponent  Signal processing
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