Research on Quantitative Evaluation of Wax Deposition Based on Distributed Optical Fiber Sensing Signal Inversion
Source abstract
Abstract
In response to the limitations of traditional pipeline wax deposition monitoring, we propose a quantitative evaluation method based on the inversion of distributed optical fiber sensing signals. By establishing an experimental system and adopting a “noise suppression–restoration–enhancement” preprocessing method, the signal quality was significantly improved. The IBES-TPGM(1,1) model had the best nonlinear fitting ability, with a Root Mean Square Error of only 0.069 mm and a Mean Relative Error of 1.53%. Indoor and field experiments verified that this method has high accuracy and good stability, providing an effective technical means for the online quantitative monitoring of pipeline wax deposition, and thus, it has significant engineering value.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Fiber Optic Sensors · Surface Roughness and Optical Measurements · Epoxy Resin Curing Processes
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Key Laboratory of Oil and Gas Reservoir Geology and Exploration, Chengdu 610500, China
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