Internal corrosion monitoring data, such as coupons and water analysis, can provide insight into the presence and severity of internal corrosion between ILIs. Most operators rely on monitoring data to 
detect an unfavorable change but have limited confidence in the results. If the parameters are outside the specified KPIs, operators must make costly changes to their mitigation strategy. 

This work attempts to quantify the correlation between more sensitive ILI measurements and negative changes in coupon monitoring data or additional data sets such as microbial or water data. Additionally, monitoring data will be compared to an internal corrosion growth detection model based on ILI measurements.