Mastering Pipeline Inspection Data
Understanding how ILI Data Quality influences Effective Defect Assessment
Instructors: Dr. Michael Beller and Dr. Konrad Reber
Online
The course is 4 sessions: 2 sessions per week over 2 weeks.
Course times are from 9am to 1:30pm US Central Time each day.
Dr. Michael Beller has more than 28 years’ experience in the pipeline inspection industry. Having served in both technical and management positions with Preussag Pipeline Services, Pipetronix, PII and NDT Systems & Services, he is currently Director of Corporate Strategy - Pipelines with Rosen Technology & Research Center in Karlsruhe, Germany. Michael holds a master’s degree in mechanical engineering, and obtained his PhD in fracture mechanics. He has been involved with a large number of inspection projects all around the world, including on- and offshore inspection work. Michael has considerable experience as a presenter and trainer, and in lecturing. He has authored more than 75 papers on the subject of pipeline inspection and intelligent pigging, and is also co-author of a German reference book on pigging technology. Currently, Michael serves on a number of Technical Committees and is also a member of the editorial board of The Journal of Pipeline Integrity. He is a former president of the Pipeline Products and Services Association.
Dr. Konrad Reber studied physics and material science at the University of Mainz and Erlangen. For his Ph.D. thesis he worked on stray flux methods for the testing of magnetic materials. At Pipetronix he was responsible for the development of data analysis algorithms and the design of MFL-pigs. After moving to NDT Systems & Services AG in 2000, his focus changed to defect assessment and integrity management. Between 2006 and 2008 Konrad was with TÜV Rheinland as an expert within the Pipeline Technology Group. Since 2008 he has been head of research and development for the Innospection Group. His department is responsible for designing new inspection equipment for the oil and gas industry. His focus is on the development and refinement of testing technologies with applications for underwater and otherwise difficult-to-inspect structures.
