Repeatability Indicator Case Study in the Sleipner CO2 Storage Project

Repeatability measures are compared using the time lapse data from Sleipner CO2 storage project in offshore Norway. The three repeatability measures evaluated are the NRMS, predictability, and cross-correlation techniques. A random noise model is used to explain the relationship between NRMS and predictability and an excellent fit is found to the Sleipner dataset. The Quality indicator and Anomaly indicator (A) techniques are described and applied to the Sleipner dataset. Application of these attributes showed a clear indication of the CO2 plume. The Anomaly Indicator was also able to identify anomalous zones within the plume that are indicative of shales surrounding the sandstone reservoir.