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Robust and Reliable Leak detection is difficult in pipelines carrying fluids of multiple phases (e.g. oil and water and gas). This difficulty is due to the continually changing nature of fluid properties with time and the pipeline's length and other reasons such as inappropriate models or fundamentally wrong approaches. Most complexities in the leak detection process arise when a leak happens in liquid pipelines in the presence of phase change or the lines carrying fluid congaing multiple phases- originate from wrongful application of models or approaches with common issues and predictable failure scenarios.
The presentation will review pipeline leak detection challenges under degraded operating conditions such as pipeline operation under slack or column separation, which involves phase change and multi-phases in the domain simultaneously. The presentation shows the importance of the phase change modelling ability of the CPM to look beyond API 1130 performance metrics and showcase studies to shed light on different complexity aspects of multi-phase leak detection and their treatment. For example, the presentation highlights what can go wrong with common approaches using machine learning algorithms even when trained with pure data while performing leak detection on multi-phase pipelines."
Hamed Ghasvari Jahromi
Chief R&D Scientist, Vanmok Innovative Engineering Solutions
Hamed Ghasvari Jahromi has 10+ years of experience developing and applying mathematical models and fluid dynamics theories to the Industrial Problems. He has extensive experience developing leak detection technologies, especially column separation prediction models, RTTM, pattern recognition, computational fluid dynamics (CFD) for modelling and analysis in various applications in multi-phase flows (oil/gas/sediments), Cavitation modelling, pipeline flow modelling and Transient flows. He authored research articles in peer-reviewed journals and have presented research projects at various international conferences. At Vanmok, he leads innovative engineering approaches by creating accurate mathematical models and developing robust numerical algorithms to solve the pipeline leak/theft detection models, Pipeline Simulations, and new methods of Leak detection and testing in accordance or beyond regulatory requirements.