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17 October 2012 A novel noise suppression method for white light extrinsic Fabry-Perot interferometric fiber-optic pressure sensor in heavy oil thermal recovery downhole environment
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Proceedings Volume 8421, OFS2012 22nd International Conference on Optical Fiber Sensors; 8421BI (2012) https://doi.org/10.1117/12.975206
Event: OFS2012 22nd International Conference on Optical Fiber Sensor, 2012, Beijing, China
Abstract
A novel noise suppression method is proposed for the pressure surveillance of heavy oil thermal recovery well using white light extrinsic Fabry-Perot interferometric (EFPI) fiber-optic sensor. The moving grey model GM(1, 1) algorithm is applied to suppress the non-stationary noise and disturbance in downhole environment. Both theoretical analysis and field test results show that there exists a threshold effect for the moving window length selection, the optimized value of window length occurs at the threshold point which best removes the high frequency disturbance as well as retaining the fast change of actual pressure signal. Field test results show that the proposed method can increase the signal to noise ratio (SNR) of pressure profile with 10.4dB, and then can effectively suppress the large deviation in the forecasting result of daily oil production by combining temperature information.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qilin Zou, Shengjun Dou, Chengjun Hu, Yong Pan, Shangran Xie, Weiyu Wang, Min Zhang, and Yanbiao Liao "A novel noise suppression method for white light extrinsic Fabry-Perot interferometric fiber-optic pressure sensor in heavy oil thermal recovery downhole environment", Proc. SPIE 8421, OFS2012 22nd International Conference on Optical Fiber Sensors, 8421BI (17 October 2012); https://doi.org/10.1117/12.975206
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