Pipeline SCADA Data Recording, Storing, and Filtering for Crack-Growth Analysis

The Supervisory Control and Data Acquisition (SCADA) data are primarily used for pipeline-pressure monitoring and control. This investigation aims to develop improved methods of recording, storing, and filtering SCADA data for the purpose of predicting crack growth and remaining lifetime of both oil- and gas-pipeline steels experiencing stress corrosion cracking (SCC) and corrosion fatigue using a computational software. To ensure the modeling accuracy, the maximum time intervals for SCADA data collection were investigated, to reduce data storage and calculation time. SCADA data are to be recorded at appropriate sampling intervals to capture all pressure events that could affect crack growth, while the data should be minimized to reduce the time needed for crack-growth calculation without compromising the accuracy of prediction. In this work, it was proposed to record a set of data consisting of one maximum and one minimum point of pressure within a given sampling interval of 1 min (for oil pipelines) and 2 h (for gas pipelines). Screening models to determine and to remove unrealistic SCADA data because of either electronic noise or system errors have also been developed for both oil and gas SCADA data.