Evaluation Indices for Filtering Performance of Pump-StopWater Hammer Signals in Field Fracturing

HU Xiaodong; WANG Yajing; QIU Yang; YI Pukang; JIANG Zongshuai; XIONG Zhuang

doi:10.11911/syztjs.2024079

Volume 52 Issue 6

Nov. 2024

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Petroleum Drilling Techniques > 2024 > 52(6): 131-140. > DOI: 10.11911/syztjs.2024079

HU Xiaodong, WANG Yajing, QIU Yang, et al. Evaluation indices for filtering performance of pump-stop water hammer signals in field fracturing [J]. Petroleum Drilling Techniques, 2024, 52(6)：131−140. DOI: 10.11911/syztjs.2024079

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Evaluation Indices for Filtering Performance of Pump-StopWater Hammer Signals in Field Fracturing

HU Xiaodong^{1, 2,},
WANG Yajing^{1, 2},
QIU Yang^{1, 2},
YI Pukang^{1, 2},
JIANG Zongshuai^{1, 2},
XIONG Zhuang^{1, 2}

1.
National Key Laboratory of Petroleum Resources and Engineering (China University of Petroleum (Beijing)), Beijing, 102249, China
2.
Unconventional Petroleum Research Institute, China University of Petroleum (Beijing), Beijing, 102249, China

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Received Date: November 05, 2023
Revised Date: February 05, 2024
Available Online: December 03, 2024

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Abstract

Abstract

To accurately evaluate the performance of the filtering algorithms for pump-stop water hammer pressure wave signals when water hammer pressure wave monitoring method is used for fracturing diagnosis, the resolution of the cepstrum response R_C and the signal-to-noise ratio of the quefrency peak R_QSN were adopted as evaluation indices for filtering performance of water hammer signals based on the measured water hammer signal of a horizontal well in China and its actual demand for filtering results. Based on the synchronization of the indices and the filtering performance, the reliability of the filtering indices was evaluated according to the sensitivity of the indices to the filtering performance. The results show a positive correlation between the R_C and R_QSN of the high-frequency water hammer signals and the filtering performance of the well-site signals, showing good sensitivity. Therefore, R_C and R_QSN can be used to evaluate the filtering performance of the pump-stop water hammer pressure wave high-frequency signal in field fracturing operations. The research results provide a technical approach for the feature analysis of the field signals, the optimization of the filtering algorithms, and the effectiveness evaluation of the filtering models in the field applications.

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