By Eshita Rastogi
April 20, 2022
Imagine a world where you no longer have to sift through thousands of spreadsheets of inferior data, trying to analyze pipeline data to prevent any incident that would negatively impact your bottom line. You no longer have to make management decisions without thoroughly analyzing all probabilities and variables or by dedicating hours of analyst labour hours. With changing market trends and increasing importance placed on ESG by investors, governments, and other stakeholders, pipeline incidents create immense reputational damage, in addition to financial and commodity losses. With inferModel's free-for-use engineering models, you no longer have to work with methods of the past. Our Corrosion Assessment, Crack Assessment, and ILI Validation Tools are all designed with cloud computing in mind; they leverage data security and operate without any software downloads! Designed by licensed engineers, our models work by validating the data provided, then inputting it all into deterministic or probabilistic models and validating performance. Easily incorporate known unknowns such as measurement error and model error to model uncertainty.
We believe our tools are one of the easiest ways to improve safety and assurance in the energy industry. By leveraging automation, pipeline inspection can be more accurate without investing more time.
What Tools can You Currently Access?
Our Level 1 Corrosion Assessment Tool calculates the probability of failure by pipe burst of clustered corrosion anomalies in a transmission pipeline at the inline inspection detection year. In just a few minutes, you'll be able to analyze up to 1000 abnormalities — not bad! The Corrosion Reliability Report will detail various engineering attributes, and most importantly, the probability of failure. The Crack Assessment Tool determines the failure pressure of crack-like anomalies, assuming a semi-elliptical flaw shape and 10 ksi flow stress rule.
In any colony of cracks, the edges are under extremely high stress, and under the wrong operating pressure, the pipe will rupture. Input anomaly IDs, odometer, begin and end chainage, operating pressure, and other essential data points; once data is uploaded, the model will instantly generate results including ductile, failure, and final failure pressure and a conclusion on operating pressure.
Our Inline Inspection Validation Tool is simple but game-changing: compare field measurements with their errors to identify over or under-sizing, and conduct Level 2 and 3 API 1163 Engineering Level Assessments with ease! The Level 2 Assessment performs hypothesis tests to calculate the mean proportion's error using the proportion of measurements within the upper and lower specification limits. Even if some data cannot be statistically rejected but borders the specification limits, the Level 3 Assessment incorporates it to create better tolerances. This will generate confidence intervals for your data and give more accurate bounds.
We are experienced engineers. We can help your firm through consulting or software implementation projects. To see our tools in action, please watch the recorded demonstrations or contact us.