Corrosion of pipelines and other industrial facilities has led to several hazards and catastrophic events in the petroleum industry. The corrosion of pipelines can occur in different ways, as materials tend to go back to original state. This work focused on the erosion corrosion of pipelines due to sand production. Several analysis following best practices introduced in this work where carried out on field inspection data on pipelines and flowlines in which a trend was identified. This trend generated models such as erosion trend angle (ETA) and erosion trend factor (ETF) which will be used for reviews, judgment and sensitivity analysis during corrosion management. The criterion for criticality of ETA was 30 degrees for the purpose of this work and recommended that users could vary to fit work objectives. Five test points where used to establish ETA and ETF values for major decision of criticality for erosion corrosion as shown in Table 2. To enhance the use of these models and known corrosion tools, a software application known as HAZUTREND was developed using python programming and machine learning algorithms for linear regression. An erosion corrosion management procedure was also introduced as a result of analysis made, to optimize decision making.
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