Overview

This course provides a comprehensive overview of transferable seismic data processing skills, specifically aimed at professionals transitioning from the Oil and Gas sector to the Offshore Wind industry. As the global energy sector increasingly shifts toward renewable sources, professionals equipped with experience in seismic processing can leverage their expertise to support the rapid growth and technical demands of offshore wind farm developments, including both fixed-bottom and floating structures.

Participants will gain a clear understanding of seismic imaging objectives in the offshore wind industry. The course begins by introducing seismic imaging principles specific to offshore wind projects, detailing how these methods contribute to accurate site characterization, risk assessment, and safe installation of wind turbine infrastructure. A particular emphasis is placed on understanding geological and geotechnical conditions critical for the successful deployment of offshore wind farms.

The course subsequently focuses on the opportunities and methodologies associated with re-purposing legacy seismic data. It provides an in-depth exploration of the rationale behind legacy data utilization, highlighting the economic and technical advantages of leveraging existing datasets. Key topics include criteria for selecting appropriate legacy data, advanced high-resolution seismic processing techniques, and specialized workflows designed to optimize older seismic datasets. Participants will explore real-world case studies, discussing practical challenges, significant benefits, and the inherent limitations of legacy data repurposing. This module is designed to equip attendees with the skills necessary to efficiently evaluate and enhance historical seismic datasets for application in offshore wind site investigations.

Further, participants will delve into Ultra-High Resolution Seismic (UHRS) data processing, a critical element in modern offshore wind site assessments. This segment covers UHRS acquisition and processing strategies in detail, contrasting these approaches with conventional seismic methods commonly utilized within the Oil and Gas sector. Participants will develop a clear understanding of the distinct acquisition parameters, data quality considerations, and resolution capabilities associated with UHRS surveys. The course will also critically examine the inherent challenges, technical benefits, and practical limitations encountered when utilizing short-offset UHRS data for detailed subsurface characterization.

Finally, the course concludes by exploring emerging opportunities in the integration of machine learning (ML) technologies and advanced seismic technologies such as passive seismic monitoring, 4D seismic for offshore wind industry. Participants will gain insights into current developments, potential future applications, and strategic advantages of adopting ML solutions for improved efficiency, accuracy, and predictive capability within offshore wind seismic interpretation and analysis.

By the end of this course, attendees will have acquired targeted knowledge and practical insights, enabling them to effectively adapt their Oil and Gas seismic processing experience to fulfill the growing demand for specialized expertise in the offshore wind industry.