This webinar introduces AI-driven approach to seismic data enhancement that improves data quality without conventional reprocessing or post-processing workflows. The method is designed to work directly with existing seismic volumes, enhancing signal clarity while preserving geological consistency and interpretability.

During the webinar, we will present a real-world case study from the Gulf of Mexico, demonstrating how the approach was applied to legacy seismic data. We will show before-and-after examples, discuss the impact on key geological features, and explain how the enhanced data supports more confident and efficient interpretation.

Key topics covered
• Limitations of seismic reprocessing for legacy and mature datasets.
• Concept and principles of AI-driven seismic enhancement without reprocessing.
• Gulf of Mexico case study: data quality challenges and results.
• Preservation of geological integrity and interpretability.
• Impact on fault imaging, stratigraphic features, and signal continuity.
• Integration of the enhanced data into interpretation workflows.