While there are several options for detecting corrosion in pipelines, it is now widely accepted that inline inspection (ILI) is the most reliable method for detecting, identifying, and characterizing corrosion defects. With repeat ILI data at hand, we have the ability to observe and quantify any changes in corrosion growth and pipeline integrity. ROSEN has developed an approach that makes full use of the extensive magnetic flux leakage (MFL) data from repeat inspections to provide a full and accurate corrosion growth rate distribution.
We are pleased to invite you to a free webinar, during which we will outline our capabilities in using repeat MFL inspection data for the establishment of corrosion growth rates. We will describe how the combination of advanced ILI signal processing through computer vision technology and the knowledge and experience of ROSEN’s engineering consultants can support operators with optimized re-inspection intervals, improved rehabilitation planning, and cost-effective prevention and mitigation strategies.
The webinar will be presented live by our experts on November 15, 2017 at 10 AM CST.
Christopher De Leon
Head of Business Field Integrity Solutions, ROSEN Group
Christopher De Leon is a Pipeline Integrity Engineer and Business Manager at ROSEN with responsibilities in the US, Mexico, and Central America. Christopher has been with ROSEN since 2013. The focus of his work as Manager of Products and Services has been leading the inline inspection business. In his current role as Head of Integrity Solutions, he is focusing on integrity management systems, integrity management consultancy, and regulatory compliance. Prior to ROSEN, Christopher worked for a major pipeline operator as a Pipeline Integrity Engineer.
Senior Engineer, ROSEN Group
Michael Smith is a Senior Engineer with responsibility for the development of new products and services within ROSEN’s integrity consultancy business in the United Kingdom. As a subject matter expert in post ILI corrosion growth assessment, Michael has contributed to numerous publications on corrosion growth rate estimation, optimization and prediction. He currently manages ROSEN’s CGApro service and contributes to ongoing developments in collaboration with the Research and Technology Center (RTRC) in Germany.
KEY LEARNING OBJECTIVES
- Learn about the advantages of comparing MFL datasets from repeat inspections for corrosion growth assessments
- Gain an understanding of ROSEN’s automated signal correlation and normalization process (AutoSCAN)
- Understand why signal data comparisons paired with corrosion engineering significantly improve pipeline integrity decisions
This webinar addresses those who have responsibilities in pipeline integrity management and more than two years of experience in the field.