Microseismic signal denoising method combining synchrosqueezing S-transform and τ-p transform

被引：0

作者：

Qin L. ^{[1
,2
]}

Li T. ^{[3
]}

Cao J. ^{[4
]}

Huang Z. ^{[1
,2
]}

Zhang J. ^{[1
,2
]}

Wang J. ^{[4
]}

机构：

[1] Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Shandong, Qingdao

[2] College of Marine Geosciences, Ocean University of China, Shandong, Qingdao

[3] Northwest Sichuan Gas Field, PetroChina Southwest Oil and Gas Field Company, Mianyang, Sichuan

[4] Tight Oil and Gas Exploration and Development Project Department, PetroChina Southwest Oil and Gas Field Company, Sichuan, Chengdu

来源：

Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2024年 / 59卷 / 02期

关键词：

ground microseismic monitoring; microseismic signal denoising; spectral decomposition; synchrosqueezing S-transform; τp transform;

D O I：

10.13810/j.cnki.issn.1000-7210.2024.02.004

中图分类号：

学科分类号：

摘要：

Microseismic monitoring is a common means to guide hydraulic fracturing operations and evaluate fracturing effects in shale gas extraction. The signal collected by ground monitoring has weak energy and low signal-to-noise ratio，which makes it difficult to identify microseismic events，and seriously affects the accuracy of positioning. Aiming at the ground microseismic monitoring data with low signal-to-noise ratio，a new noise cancellation method is proposed by combining synchronoussqueezing S-transform，spectral decomposition and τ-p transform. Firstly，the time difference correction is carried out on the monitoring data，and the in-phase axis of the microseismic signal is leveled. Then，the synchrosqueezing S -transform was applied to decompose the leveled data to obtain single-frequency slices. Then ，the τ-p transform is performed on each single-frequency slice，and the microseismic signal position is obtained according to the results of the τ-p transform. Finally，noise cancellation is completed in the time-frequency domain according to the position of the signal. The processing results of ground microseismic monitoring data with low signal-to-noise ratio show that the new method can obtain ideal noise cancellation results. © 2024 Editorial office of Oil Geophysical Prospecting. All rights reserved.

引用

页码：219 / 229

页数：10

共 18 条

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