Fibre optic temperature sensing: A new tool for temperature measurements in boreholes

Geophysics ◽  
1996 ◽  
Vol 61 (4) ◽  
pp. 1065-1067 ◽  
Author(s):  
Stephan Großwig ◽  
Eckart Hurtig ◽  
Katrin Kühn

Usually, the temperature in boreholes is determined using a standard temperature probe. The logging technique is either “stop and go”, or the probe is lowered as a moving probe into the borehole using a controlled speed. Distributed temperature probe arrays installed permanently in a borehole are an alternative to moving probes and can be applied especially for temperature monitoring even under conditions where moving probes cannot be used. The distributed optical fiber sensing technique represents a new approach for temperature measurements. The basis for this method is given in Boiarski (1993), Dakin et al. (1985), Farries and Rogers (1984), Hartog and Gamble (1991), Rogers (1988), Rogers (1993). First results using fiber optic temperature sensing in boreholes and temperature monitoring for studying geotechnical and environmental problems (e.g., waste deposits) are published in Hurtig et al. (1993; 1994; 1995) and Hurtig and Schrötter (1993).

Proceedings ◽  
2017 ◽  
Vol 2 (3) ◽  
pp. 123 ◽  
Author(s):  
Pasindu Lugoda ◽  
Tilak Dias ◽  
Theodore Hughes-Riley ◽  
Rob Morris

Body temperature is an important parameter to measure in a number of fields such as medicine and sport. In medicine temperature changes can indicate underlying pathologies such as wound infections, while in sport temperature can be associated to a change in performance. In both cases a wearable temperature monitoring solution is preferable. In earlier work a temperature sensing yarn has been developed and characterized. The yarns were constructed by embedding an off-the-shelf thermistor into a polymer resin micro-pod and then into the fibers of a yarn. This process created a temperature sensing yarn that was conformal, drapeable, mechanically resilient, and washable. This work builds on this early study with the purposes of identifying the steady state error bought about on the temperature measurements as a result of the polymer resin and yarn fibers. Here a wider range of temperatures than previously explored were investigated. Additionally two types of polymer resin with different thermal properties have been tested, with varying thicknesses, for the encapsulation of the thermistor. This provides useful additional information for optimizing the temperature sensing yarn design.


2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Huaizhi Su ◽  
Meng Yang ◽  
Kunpeng Zhao ◽  
Zhiping Wen

Distributed temperature sensing (DTS) provides an important technology support for the earth-rock junctions of dike projects (ERJD), which are binding sites between culvert, gates, and pipes and dike body and dike foundation. In this study, a blind source separation model is used for the identification of leakages based on the temperature data of DTS in leakage monitoring of ERJD. First, a denoising method is established based on the temperature monitoring data of distributed optical fiber in ERJD by a wavelet packet signal decomposition technique. The temperature monitoring messages of fibers are combined response for leakages and other factors. Its character of unclear responding mechanism is very obvious. Thus, a blind source separation technology is finally selected. Then, the rule of temperature measurement data for optical fiber is analyzed and its temporal and spatial change process is also discussed. The realization method of the blind source separation model is explored by combining independent component analysis (ICA) with principal component analysis (PCA). The practical test result in an example shows that the method could efficiently locate and identify the leakage location of ERJD. This paper is expected to be useful for further scientific research and efficient applications of distributed optical fiber sensing technology.


2019 ◽  
Vol 66 (1) ◽  
pp. 299-305 ◽  
Author(s):  
Diego Di Francesca ◽  
Angelo Infantino ◽  
Gaetano Li Vecchi ◽  
Sylvain Girard ◽  
Antonino Alessi ◽  
...  

2021 ◽  
Author(s):  
Jian Li ◽  
Xinxin Zhou ◽  
Yang Xu ◽  
Lijun Qiao ◽  
Jianzhong Zhang ◽  
...  

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