A migration based location method using improved waveform stacking for microseismic events in a borehole system

• Autorzy: Mao Qinghui , Azeem Tahir , Zhang Xuliang , Zhong Yu , Fang Yuan , Zhang Yunxiao

Identyfikatory

DOI

10.1007/s11600-020-00488-z

• Języki publikacji: EN

Abstrakty

EN

The migration-based microseismic event location methods using waveform stacking algorithms are widely used for hydrofracturing monitoring. These methods have the advantage of not requiring the accurate frst arrival time around a detected event, which is more suitable for noisy data than classical travel time-based methods. However, accuracy of these methods can be afected under the condition of relatively low signal-to-noise ratio (SNR). Therefore, in order to enhance the location accuracy of microseismic events in a borehole system, we have proposed a migration-based location method using improved waveform stacking with polarity correction based on a master-event technique, which optimizes the combination way of P- and S-wave waveform stacking. This method can enhance the convergence of the objective function and the location accuracy for microseismic events as compared to the conventional waveform stacking. The proposed method has been successfully tested by using synthetic data example and feld data recorded from one downhole monitoring well. Our study clearly indicates that the presented method is more viable and stable under low SNR.

Słowa kluczowe

EN

microseismic event; hydraulic fracturing; SNR; improved waveform stacking; migration-based location

PL

zdarzenie mikrosejsmiczne; szczelinowanie hydrauliczne; SNR

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2020
• Tom: Vol. 68, no. 6
• Strony: 1609--1618
• Opis fizyczny: Bibliogr. 16 poz.

Twórcy

autor

Mao Qinghui

• Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University), Ministry of Education, Wuhan 430100, China
• Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University, No. 111 Daxue Rd. Caidian District, Wuhan 430100, Hubei Province, China

autor

Azeem Tahir

• Department of Earth Sciences, Quaid-I-Azam University, Islamabad 45320, Pakistan

autor

Zhang Xuliang

• Bureau of Geophysical Prospecting, Zhuozhou 072750, China

autor

Zhong Yu

• Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China

autor

Fang Yuan

• Development and Research Center, China Geological Survey, Beijing 100037, China

autor

Zhang Yunxiao

• Oil and Gas Survey, China Geological Survey, Beijing 100083, China

Bibliografia

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