INGU
Shannon Campbell is an experienced data scientist currently employed at INGU since May 2021, where responsibilities include analyzing data from a multi-sensor pipeline inspection tool to identify leaks and faults. Prior to this role, Shannon served as a STEM Integration Specialist at STEM Learning Lab Inc. from November 2018 to November 2019, focusing on developing and presenting STEM curricula. Shannon's experience also encompasses a role as a receptionist at SemCAMS Midstream Co. from November 2017 to October 2018, and as an office assistant at Lake Bonavista Home Owners Association Ltd. during the summers of 2014 and 2015. Academic credentials include a Bachelor of Science in Physics and Data Science from The University of British Columbia (2012-2016) and further studies at the Southern Alberta Institute of Technology (2020-2021).
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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.