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| Microseismic signal denoising method combining synchrosqueezing S-transform and τ-p transform |
| QIN Liang1,2, LI Tanglü3, CAO Jixiang4, HUANG ZhongLai1,2, ZHANG Jianzhong1,2, WANG Jinxi4 |
1. Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Qingdao, Shandong 266100, China;
2. College of Marine Geosciences, Ocean University of China, Qingdao, Shandong 266100, China;
3. Northwest Sichuan Gas Field, PetroChina Southwest Oil and Gas Field Company, Mianyang, Sichuan 621000, China;
4. Tight Oil and Gas Exploration and Development Project Department, PetroChina Southwest Oil and Gas Field Company, Chengdu, Sichuan 610066, China |
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Abstract 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.
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Received: 25 May 2023
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2024, Vol. 59 
