LeDAS project in the starting blocks
ΊΪΑΟ³ΤΉΟΧΚΤ΄ is in the start-up phase of its contributions to the Knowledge-building Project βLeDASβ β Leveraging Distributed Acoustic Sensing for Enhanced Well Operation.
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Distributed fibre-optic sensing (DFOS) is a cutting-edge technology for in-well surveillance, providing continuous and distributed data acquisition along large lengths of a well. DFOS utilizes fibre optic cables as sensor elements to estimate temperature, strain, and acoustic signals, enabling real-time monitoring of well conditions. Distributed acoustic sensing (DAS), specifically, has seen a rapid development over the last decade. The ambition of LeDAS the ambition to radically advance methodologies and frameworks for DAS data processing, where the predictive power of physical models is combined with novel and efficient machine learning methods to extract and visualize operational information from data produced by DAS.
ΊΪΑΟ³ΤΉΟΧΚΤ΄ is recruiting a postdoctoral research fellow who will develop physical models that describe the generation and propagation of acoustic noise within the flow and well geometry to a DAS fibre-optic cable on the tubing or casing.
The project is supported by The Research Council of Norway and hosted by NORCE. The other partners are SINTEF, ΊΪΑΟ³ΤΉΟΧΚΤ΄, NTNU, Politecnico di Milano, Equinor, and Aker BP. The description above is extracted from the LeDAS project application.