Build a Future-Ready Workforce in Pipeline Integrity

Build introductory pipeline integrity skills with ROSEN’s Competence Club Our Pipeline Integrity E-Learn Bundle offers a streamlined, flexible way to gain awareness-level knowledge of essential pipeline integrity topics. Developed by industry experts, this online training series includes five self-paced e-learning courses designed for operators, engineers, and technical professionals. What’s included in the pipeline integrity e-learn bundle: Awareness-level e-learns introducing core pipeline integrity concepts, with 24/7 access Content featuring videos, presentations, and micro-courses Aligned with industry standards and best practices Which courses are included in the pipeline integrity e-learn pathway? Gain access to over 13 hours of expert-led content across five introductory courses: Introduction to Pipeline Integrity Management CS014A (90 minutes) Introduction to Crack Management CS050A (2 hours) Introduction to Fracture Mechanics CS032A (210 minutes) Introduction to Pipeline Defect Assessment CS020A (5 Hours) Introduction to Pipeline Repair CS012A (60 minutes) Learning outcomes: According to the Competence Standards Manual for Pipeline Integrity Management, completing your training will enable you to interpret and evaluate the knowledge. You will also be able to communicate and present coherent arguments about the subject matter. Key benefits of online pipeline integrity training: Scalable: Suitable for individuals or entire teams Time-efficient: Learn at your own pace with minimal environmental impact Performance-enhancing: Close skills gaps and improve productivity Flexible: Refresh your knowledge anytime, anywhere Recognized: Earn e-badges to validate your learning achievements Who should enroll? This pipeline integrity e-learn training pathway is ideal for entry-level engineers (0–2 years of experience), professionals aiming to deepen their understanding of pipeline integrity, and teams seeking to standardize awareness-level knowledge across departments. Read more

Build Your Pipeline Risk Expertise with ROSEN’s Competence Club Kickstart your career in pipeline engineering with our expertly designed e-learn training pathway. The Pipeline Risk E-Learn Pathway offers a flexible, self-paced learning experience tailored for engineers, operators, and technical professionals seeking foundational knowledge in pipeline risk. Developed by industry experts, this awareness-level training series covers essential pipeline risk concepts through engaging multimedia content, accessible anytime, anywhere. What’s included in the pipeline risk e-learn pathway: Awareness-level e-learns introducing core pipeline integrity concepts, with 24/7 access Content featuring videos, presentations, and micro-courses Aligned with industry standards and best practices Which courses are included in the pipeline risk e-learn pathway? Progress through six expertly crafted modules, each building on the last to deepen your understanding of pipeline risk: Introduction to Probability of Failure Analysis CS044A (60 minutes): By the end of the e-learn, you will be aware of the various pipeline hazards which may lead to loss of containment and assessing the probability of failure, from qualitative and quantitative analysis. Introduction to Failure Analysis CS033A (6 hours): By the end of this course, you will be aware of failure analysis, including metallurgy, fractography, mechanical properties, and stress analysis involved in failure investigation. Introduction to Consequence Analysis CS045A (60 minutes): By the end of this e-learn, you will be aware of the various consequences of pipeline failure scenarios, including the impact on people, the environment, infrastructure, and the business itself. Introduction to Pipeline Risk Management CS009A (60 minutes): By the end of this e-learn, you will be aware of risk management methods and standards. Introduction to Risk Analysis Tools and Techniques CS043A (45 minutes): By the end of this e-learn, you will be aware of the role of risk analysis in risk management and the tools and techniques commonly used to conduct a pipeline risk analysis. Introduction to Risk Analysis and Assessment (45 minutes): By the end of the e-learn, you will be able to understand and describe the key concepts relating to risk analysis, risk assessment, high uncertainty and the 'precautionary principle', rare events and reliance on experience/historical data.  Learning outcomes: According to the Competence Standards Manual for Pipeline Integrity Management, completing your training will enable you to interpret and evaluate the knowledge. You will also be able to communicate and present coherent arguments about the subject matter. Key benefits of online pipeline risk training: Scalable: Suitable for individuals or entire teams Time-efficient: Learn at your own pace with minimal environmental impact Performance-enhancing: Close skills gaps and improve productivity Flexible: Refresh your knowledge anytime, anywhere Recognized: Earn e-badges to validate your learning achievements Who should enroll? This pipeline risk e-learn pathway is ideal for entry-level engineers (0–2 years of experience), professionals aiming to deepen their understanding of pipeline integrity, and teams seeking to standardize awareness-level knowledge across departments.   Read more

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } This course introduces viewers to the versatility and potential of the Pipeline Data Logger (PDL) and its value to pipeline operators and servicing companies such as ROSEN. The course begins by defining what the PDL is, outlining its fundamental working principles, typical configurations, and core use cases. It then explores the PDL’s compatibility with different pipeline media types and its ability to be integrated with any tool capable of traversing a pipeline. Building on this foundation, the course explains how PDL data is gathered, processed, and presented. Viewers are then introduced to a wide range of practical applications, including identifying the causes and locations of gauge plate damage, analysing pig run behaviour, assessing known and unknown internal pipeline conditions, monitoring the progress of cleaning campaigns, and identifying geometrical challenges within a pipeline. Together, these applications demonstrate how PDL data can be used to enhance and fine‑tune pigging operations. Real‑world examples are used throughout the course to illustrate the practicality and effectiveness of the Pipeline Data Logger, before concluding with a summary of the key takeaways. Overall, this course serves as an introduction to one of ROSEN’s established and widely used technologies. It highlights how the PDL provides many advantages comparable to in‑line inspection tools, while serving a distinct and complementary purpose. By the end of the course, viewers will appreciate how a compact device attached to a pig can deliver detailed insight into pipeline behaviour and pigging performance. This data can be used to support informed, strategic decisions that promote pipeline safety, cleanliness, and optimal operational performance.   Meet the Expert Eyad Alhamouly is an Inside Sales Engineer within ROSEN’s Field Products & Services Business Line, supporting pipeline operators across Europe, Africa, and West Asia with tailored cleaning solutions that promote safe, efficient, and resilient pipeline networks.   Since joining ROSEN in early 2025, Eyad has applied his Mechanical Engineering background, shaped at the University of Twente, to develop technical configurations and commercial proposals that enhance pipeline cleanliness and throughput. With a strong interest in the energy sector, he is driven by helping operators achieve reliable, high quality infrastructure.   Eyad is particularly passionate about the Pipeline Data Logger (PDL) and its ability to transform traditional cleaning tools into insight driven solutions. He views the PDL as a form of “soft inspection,” bridging the gap between conventional cleaning and in line inspection by enabling continuous monitoring of debris and pigging performance. Through data led decision making, Eyad and his team help deliver long term value and optimized cleaning outcomes for operators. Read more

This course, designed by Dr. Edmund Bennett, builds on the introductory course 'An Introduction to Machine Learning' in the Pipeline Industry by providing relevant and practical examples of predictive analytics for external pipeline corrosion. Topics include input data, feature engineering, and the presentation of outputs. Model validation and common pitfalls to avoid are also covered. Designed for Asset Managers, Integrity Engineers, and Data Scientists, the course will help you develop a practical understanding of how machine learning models can be used to predict external corrosion metal loss, while emphasizing the importance of model validation and a holistic approach to pipeline integrity. Lesson 1 introduces the course objectives and the Integrity Analytics framework for pipeline integrity prediction. It then shifts to a more technical focus, covering the selection of predictive models, predictor (output) variables, and model inputs. Lesson 2 explores model validation, model outputs, and reporting processes. It concludes with a discussion on the importance of integrated service offerings.   Meet the Expert Edmund leads ROSEN’s Integrity Analytics team, delivering analytics consultancy globally. He has extensive experience managing data scientists and software developers using both Waterfall and Agile methodologies. With a strong background in software development, he has delivered solutions for local and cloud-hosted environments, including greenfield and complex brownfield ecosystems such as the HMRC NIRS UK tax system. Proficient in Python, Java, SQL, and Scala, Edmund also works with supporting technologies like Kubernetes, Azure DevOps, Git, SQL Server, Oracle DB, Microsoft Azure, and Google Cloud Platform. He specializes in data science, machine learning, and statistical modelling, particularly in challenging environments requiring clear vision and strategic execution. His expertise extends to risk management, regulatory compliance, and developing validated models for high-confidence decision-making. Edmund has worked across industries and has developed techno-economic simulations for wind turbine connections, IoT reporting dashboards, automation solutions, and engineering collaboration systems. Additionally, he provides direction in fine-tuning Large Language Models, agent-based simulations, and numerical models to ensure reliable, impactful outcomes. Read more

This introductory video explores how the Pipeline Open Data Standard (PODS) model has evolved to effectively manage the vast and complex datasets generated by Inline Inspection (ILI) activities. As ILI technology advances and sensors capture increasingly detailed information, managing, aligning, and analyzing this data has become a critical component of modern pipeline integrity management. Viewers will gain insight into the collaborative efforts of the PODS working group that developed a structured and scalable data model designed to handle hundreds of thousands of inspection records, supporting corrosion growth analysis, anomaly tracking, and long-term asset integrity. The session walks through the model’s design principles, demonstrates data loading with FME, and highlights best practices for integrating ILI data within a relational or geodatabase environment. About the PODS Partnership: Through the partnership between ROSEN’s Competence Club and the PODS Association, members gain access to specialized training and resources that bridge the gap between data management and pipeline integrity. This collaboration strengthens the industry’s shared commitment to improving safety, reliability, and competence through open standards, knowledge sharing, and innovation. By incorporating PODS learning materials into the Competence Club, ROSEN provides its members with the tools and insights needed to master the evolving world of pipeline data management. Read more

Курс электронного обучения знакомит с концепциями и принципами управления рисками, а также идентификации и анализа рисков трубопровода с использованием подходящих методов оценки. Этот курс предоставит вам информацию об управлении рисками трубопровода, факторах, влияющих на риск трубопровода, и о том, почему требуется оценка рисков.  Разработанный экспертом ROSEN Марком Райтом, курс предлагает базовые знания, необходимые для управления целостностью трубопроводов. Его можно пройти в рамках более широкой программы обучения или использовать в качестве отдельного справочного материала. Read more