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Technical Papers

Technical Papers that highlight OptaSense products and services.

Strain & Temperature Monitoring Using Rayleigh Backscatter Sensing

This paper focuses on the application of Rayleigh Backscatter Sensing to provide three measurement streams in parallel in real time from the same device: Distributed Acoustic Sensing (DAS), Rayleigh Distributed Temperature Sensing (RDTS) and Rayleigh Distributed Strain Sensing (RDSS).

The paper looks at a year of work with the British Geological Survey (BGS) at a National Landslide Laboratory in the UK.

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Machine Learning Delivers Railway Application Improvements

This paper examines the utilization of machine learning techniques to maximize the value from the improved data fidelity and reduce commissioning times provided by the latest long-range quantitative distributed fiber-optic sensing interrogator unit technology.

The paper also demonstrates how supervised ML techniques can be used to deliver a step-change improvement in the detection of rolling stock movements which enables a performance improvement across the rail monitoring solution portfolio.

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Hydraulic Induced Fracture Geometry in Hydraulic Fracture Site

This paper examines the dataset produced at the Hydraulic Fracture Test Site 2 (HFTS2) in the Permian Delaware Basin. HFTS2 was one of the most comprehensive multiwell fiber optic sensing projects. The paper discusses distributed sensing diagnostics (crosswell strain, das microseismic, injection and production monitoring) integrated with other technologies, modeling, validation and interpretation of a broad range of physical processes.

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Estimating Anisotropy Effects During Microseismic Monitoring

This paper shows a real data example where microseismic events were recorded using a 40 level array of 3-component downhole seismic sensors in an observation well straddling the treatment zone in depth. The observed microseismic event gathers exhibit shear wave splitting even at the onset of treatment operations due to anisotropy which was not readily predicted by either surface seismic or sonic scanner logs.

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Flow Monitoring and Production Profiling using DAS

This paper discusses the application of DAS for flow monitoring. Specifically, it was found that DAS has potential for zonal production and injection allocation across ICVs, monitoring interzonal inflow from the reservoir, monitoring artificial lift, tracking fluid transport through the well bore, detecting leaks, and monitoring wax build up or other types of deposition in the well.

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