A Python-Base Algorithm as an Automatic and more Consistent First Break Picker

Summary The increasing demand for green energy has accelerated the development of offshore wind farms (OWFs), necessitating precise geological modeling based on detailed sub-seabed investigations. Ultra-high-resolution seismic (UHRS) systems are standard tools for obtaining information about subsurface structures and detecting buried objects, such as boulders. Reliable First Break picking is crucial for ensuring accurate statics. We have designed a robust Python-based algorithm for automatic First Break picking in UHRS, focusing on data that used a Sparker as the source. The algorithm emphasizes primary arrivals while mitigating the influence of ghost signals, significantly enhancing the accuracy of static corrections essential for subsequent processing steps, such as deghosting and multiple suppression. This tool streamlines the First Break picking process and supports precise modeling of geological structures necessary for optimal foundation designs in offshore wind projects, especially when larger and denser OWF are being surveyed