Join us for this webinar demonstrating how repeatability indicators can be used to reduce uncertainty and increase confidence in CO₂ storage monitoring, using the Sleipner offshore Norway project as a real-world case study.
By comparing multiple repeatability approaches on time-lapse seismic data, the study highlights how data quality indicators clearly illuminate the CO₂ plume and reveal internal anomalies that provide insight into reservoir and seal behavior. The results show how advanced repeatability analysis supports more reliable interpretation, improved risk assessment, and stronger decision-making for long-term CO₂ storage projects.
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