Technical Papers

Technical Papers that highlight OptaSense products and services.

Strain & Temperature Monitoring Using Rayleigh Backscatter Sensing For Geological Applications

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.

Machine Learning Techniques Deliver Railway Application Improvements

This paper examines the utilization of 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.

An Integrated View of Hydraulic Induced Fracture Geometry in Hydraulic Fracture Test Site 2

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.

Estimating Stimulation-Zone 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.

Cloud-Based Solution for Permanent Fiber-Optic DAS Flow Monitoring

This paper presents the system architecture and details the lessons learnt in designing, commissioning and running a permanent DAS system including the extraction of low data rate, actionable, qualitative data from distributed fibre-optic sensors and the IT challenges of creating a reliable, permanently installed system.

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.

Fiber Optic Sensing For Improved Wellbore Production Surveillance

This paper presents two recent examples of single-phase flow profiling using DAS. The first example is from a single-phase gas producer in one of the Unconventional plays in North America and the second example is from a long horizontal, smart polymer injector operated by Petroleum Development Oman (PDO).

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