中国石油大学学报（自然科学版）2016，Vol.40Issue(5)：59-71,13.DOI:10.3969/j.issn.1673-5005.2016.05.007
微地震逆时聚焦定位算法的模拟实验研究
Parametric optimization on locating microseismic events with reverse time imaging
摘要
Abstract
Microseismic events can be located using reverse time imaging method, which employs the full waveform data to back propagate to its real origin based on wave equation. However, the estimated locations are strongly dependent on various implementations of the method and the sparsity of sensor geometry, which may result in unreliable location estimations. In this paper, we introduce the peak signal to noise ratio and the semi-axis of the imaged ellipse as new standards to quantita-tively evaluate the accuracy and precision of the algorithm. Subsequently, we select one reliable implementation which satis-fies the requirement of real data processing based on the pros and cons of various image conditions and waveform input meth-ods. We investigate the impact of density and coverage of receiver array as well as the multiple events on the locations results using synthetic examples and use the results to guide real microseismic data acquisition. The simulated analysis shows that hybrid reverse time imaging trades off between location accuracy and computational efficiency. Multi-scale reverse time ima-ging condition has better location accuracy and precision, which satisfies the requirement of real-time processing in microseis-mic field work. In addition, the location accuracy and precision are mainly dependent on the density and coverage of the re-ceiver array, respectively. Finally, successful location of simultaneous multiple microseismic sources requires more rigorous acquisition plans due to the interferences between different events.关键词
微地震/逆时聚焦定位/峰值信噪比/成像条件/多震源Key words
microseismic/event location with reverse time imaging/peak signal to noise ratio/image conditions/multiple mi-croseismic sources分类
天文与地球科学引用本文复制引用
李萌,陶果,王华,李军孝..微地震逆时聚焦定位算法的模拟实验研究[J].中国石油大学学报（自然科学版）,2016,40(5):59-71,13.基金项目
国家自然科学基金项目(41174118,41204094) （41174118,41204094）
中国石油大学(北京)科研基金项目(2462015YQ0506) （北京）
