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Proceedings Paper

A novel noise suppression method for white light extrinsic Fabry-Perot interferometric fiber-optic pressure sensor in heavy oil thermal recovery downhole environment
Author(s): Qilin Zou; Shengjun Dou; Chengjun Hu; Yong Pan; Shangran Xie; Weiyu Wang; Min Zhang; Yanbiao Liao
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Paper 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.

Paper Details

Date Published: 17 October 2012
PDF: 4 pages
Proc. SPIE 8421, OFS2012 22nd International Conference on Optical Fiber Sensors, 8421BI (17 October 2012); doi: 10.1117/12.975206
Show Author Affiliations
Qilin Zou, Tsinghua Univ. (China)
Shengjun Dou, China National Petroleum Corp. (China)
Chengjun Hu, China National Petroleum Corp. (China)
Yong Pan, China National Petroleum Corp. (China)
Shangran Xie, Tsinghua Univ. (China)
Weiyu Wang, Tsinghua Univ. (China)
Min Zhang, Tsinghua Univ. (China)
Yanbiao Liao, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 8421:
OFS2012 22nd International Conference on Optical Fiber Sensors
Yanbiao Liao; Wei Jin; David D. Sampson; Ryozo Yamauchi; Youngjoo Chung; Kentaro Nakamura; Yunjiang Rao, Editor(s)

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