Why Calibration?
There’s attenuation factors, they are different from fiber to fibers, and varies from time/space.
If the correction factor we applied is not accurate, this could add a spacial volume bias to the temperature measurement.
Where’s attenuation?
\[T(z) = \frac{\gamma}{-\ln R(z)+c(t)-\int_0^z\Delta \alpha(u)du}\]There’s time-dependent offset and differential attenuation(spatial variable)
Temperature offset
It’s time-dependent, so: \(\frac{1}{T_c(z, t)} = \frac{1}{T_0(z,t)}+c(t)\)
Differential attenuation
It’s spatially dependent: \(\frac{1}{T_c(z,t)}=\frac{1}{T_0(z,t)}+\alpha_Cz\) t should be in Kelvin.
Calibration: single-ended setup
Reference temperature box thermal controlled box with a coil of fiber connected to sensing fiber.
Two step calibration
- find a constant \(\alpha_c\) that the difference at two boxes are corrected.
- find a c(t) that the temperature measurements at reference boxed are consistent.
Shortcoming: not so accurate while the temperature variation is big. Also, the attenuation is related to strain as well.
Calibration: double-ended setup
It’s a widely used processing method in seismology. \(R_{E1}(T(z))=\frac{K_{as}}{K_S}(\frac{\lambda_s}{\lambda_{as}})^4exp(-\frac{S_{LE}}{T(z)})\cdot exp(-\int_0^z(\alpha_{as}(u)-\alpha_{s}(u))\cdot du)\)
\[R_{E2}(T(z))=\frac{K_{as}}{K_S}(\frac{\lambda_s}{\lambda_{as}})^4exp(-\frac{S_{LE}}{T(z)})\cdot exp(-\int_L^z(\alpha_{as}(u)-\alpha_{s}(u))\cdot du)\]Calculating: \(\sqrt{R_{E1}(T(z))R_{E2}(T(z))}\) , there will not be mistakes.
文档信息
- 本文作者:Shenyao Jin
- 本文链接:https://shenyaojin.github.io/2022/08/22/DTS-calibration/
- 版权声明:自由转载-非商用-非衍生-保持署名(创意共享3.0许可证)