Build a Future-Ready Workforce in Pipeline Integrity

This complimentary e-learning module, developed by industry expert Bryce Lord in collaboration with ROSEN's Competence Club, offers a comprehensive overview of the natural gas pipeline sector in North America. Through a series of insightful sessions, Bryce Lord explores key topics including notable industry incidents, government policies and regulations, the production and transportation of natural gas, revenue generation, and approaches to managing operational risk. Read more

In-Field Verification is a critical component of any In-Line Inspection (ILI) validation campaign. However, if not executed correctly, it can cast a shadow of doubt over the ILI performance and compromise the integrity decision-making process. This concise 30-minute recorded video presentation with ROSEN expert Tom Oldfield serves as an introduction to the subject matter, addressing its nuances, hurdles, and provides simple yet effective steps that operators can adopt to ensure the quality of the data collected in the field meets an adequate standard for validating ILI performance. Read more

Pipeline cleaning is a critical component of comprehensive integrity management. It is necessary at every stage of a pipeline’s lifecycle, with cleaning needs varying based on the pipeline’s operational purpose and lifecycle stage. Effective cleaning strategies are closely linked to the safety, operational performance, and efficiency of a pipeline. In this short video presentation, ROSEN expert Allan Browne explains the importance of pipeline cleaning. The presentation covers key aspects, including ensuring continuous and efficient transportation, preserving product quality, and extending the pipeline’s lifespan. Read more

This course, presented by Dr. Edmund Bennett, is designed to give you a comprehensive introduction to the role and value of machine learning in the pipeline industry. You will gain insight into how machine learning is transforming the sector—enabling automation, predictive maintenance, and smarter decision-making that leads to greater efficiency, cost savings, and reduced downtime. You will explore the main types of machine learning—supervised, unsupervised, and reinforcement learning—and learn how each can be applied to real-world pipeline scenarios. For example, you’ll see how supervised learning helps predict integrity threats, how unsupervised learning detects hidden patterns, and how reinforcement learning improves operational strategies. In addition, you will learn the importance of data preparation, including how to clean and transform data, manage missing values, and evaluate model performance—critical steps to ensure reliable outcomes from machine learning models. Whether you are a manager or team leader, this course will equip you with the foundational knowledge you need to confidently engage in machine learning projects, ask the right questions, and make informed, data-driven decisions. Read more

This e-learn course provides you with an awareness of various pipelines which may lead to loss of containment and assessing the probability of failure from qualitative to quantitative. Developed by industry expert Ian Diggory, the course provides awareness-level knowledge relevant to pipeline integrity management. It can be taken as part of a broader learning journey or used as a standalone reference. Read more

This e-learn course presents the legislation, regulations, and standards used at all stages of the onshore pipeline life cycle. You will gain an understanding of the duties of a pipeline engineer to achieve legislative compliance. Authored by internationally respected pipeline specialist Dr. Phil Hopkins, this course offers awareness-level insights that contribute directly to best practices in pipeline integrity management. Learners can engage with the material as part of a broader training initiative or access it as a standalone knowledge resource tailored to industry professionals. Read more