INGU
Stan Bovenschen is a dedicated professional with experience in various roles within technology and research. Currently serving as Reporting Quality Manager at INGU since May 2023, Bovenschen previously worked as a Process Development Engineer at Anric Technologies LLC from February 2022 to April 2023. Prior to that, roles included GIS Technician at Kaart from June 2021 to November 2021 and Sales Specialist at REI from July 2020 to May 2021. Bovenschen conducted a Research Master Thesis at Dartmouth College from September 2018 to June 2019, focusing on dark energy and the $\Lambda$CDM model. Academically, Bovenschen holds a Master's degree in Physics and Astronomy with a specialization in Gravitational and Astroparticle Physics from the University of Amsterdam (2017-2019), a Minor in Geophysics from Utrecht University (2016), and a Bachelor's degree in Physics and Astronomy from the University of Amsterdam (2013-2016).
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INGU
Currently, inline inspection in the oil and gas sector is a series of staged engineering events, designed to assess the condition of pipeline assets. It is costly, infrequent, and only addresses those lines that are within reach. In fact, it is estimated that 40% of the world’s pipelines are unpiggable. The vulnerabilities between inspections,which are typically years apart, or the inability to conduct inspections at all, puts the world’s aging pipeline infrastructure at risk. In order to address these issues, we have focused on changing the economics, the technology, and the workflow associated with inline inspection. We have introduced the industry’s first self-serve inspection model that eliminates significant engineering and downtime costs. We have developed miniature, multi sensor Pipers® technology that freely flows within any and all active pipelines, regardless of location, condition, material or configuration. This technology is capable of inspecting pipelines as small as 2 inches in diameter, and surveying for leaks, geometric defects, magnetic anomalies, and deposits in a single run. Further, we have reduced the cost of inline inspection by a factor of 10, making it possible for integrity programs to be more present, more often, across all of their assets. Finally, such accessible technology has given us the opportunity to work with a complete range of clients – large and small, private and public – resulting in rich datasets libraries that offer unprecedented contextual analysis and continuous advancement of our data analytics capabilities. Our approach provides clients with uninterrupted access to up-to-date condition-critical data, allowing them to optimize planning, decision-making, and actions.