Microseismic active noise automatic identification and matching denoising
Diao Rui1,2, Wu Guochen1, Shang Xinmin2, Rui Yongjun2, Cui Qinghui2
1. Geosciences School, China University of Petroleum(East China), Qingdao, Shandong 266555, China; 2. Geophysical Research Institute, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257022, China
Abstract：Microseismic data is characterized by weak energy and low S/N due to a long transmission distance, heavy subsurface absorption, and strong surface active noise, which seriously reduce the location accuracy of microseismic events.Since the active noise at the surface is different from microseismic events in the propagation direction, energy, frequency, velocity and source location, we propose a method of active noise automatic identification and matching denoiseing.According to the long-short window energy ratio and microseismic template chart method, the active noise can be automatically identified.The three-dimensional optimal parallel search for active noise source location and velocity are conducted at the same time, and the position of the active noise and noise propagation velocity are simultaneously determined.The optimal noise source location and velocity value are used in microseismic data processing to calculate the noise standard.Finally the active noise energy adaptive matching method is used to suppress noise.Tests on model and real data show the proposed method can effectively suppress the active noise, and improve the microseismic data quality, which effectively establish the foundation of subsequent precise location of events.
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