石油物探2024，Vol.63Issue(1)：195-206,12.DOI:10.12431/issn.1000-1441.2024.63.01.017
基于指纹和相似性阈值方法的水力压裂过程微地震事件检测研究
Microseismic event detection in hydraulic fracturing based on fingerprinting and similarity thresholding
摘要
Abstract
Two methods commonly used in microseismic event detection during hydraulic fracturing:short term averaging/long term averaging(STA/LTA)algorithm based on energy and template matching based on waveform similarity,have the problems of low accuracy and low speed of detection,respectively.Thus,we establish a technique which integrates fingerprinting and similar-ity thresholding(FAST)with homomorphic deconvolution for noise reduction,STA/LTA,and density-based spatial clustering of applications with noise(DBSCAN)for fast microseismicity detection with high precision.After microseismic data denoising through homomorphic deconvolution and STA/LTA detection of microseismic events with high signal-to-noise ratios which will be taken as the templates,we use FAST for template and continuous waveform fingerprinting and then examine the Jaccard similarity of fingerprints to check out those events with low signal-to-noise ratios and obtain first arrivals of P-waves at each station.DB-SCAN is finally utilized for the correlation of the same microseismic facies at different stations to eliminate false events.According to the model study,we successfully detect all the 171 synthetic microseismic events with different signal-to-noise ratios using our method.We also compare our method with template matching and STA/LTA in handling microseismic data acquired from the 19th stage of a horizontal well fractured on November 10 2014 for shale gas production in Weiyuan,the Sichuan Basin.Our method is su-perior to STA/LTA in the detection of microseismic events with low signal-to-noise ratios and template matching in computational efficiency.关键词
水力压裂/微地震/微地震事件检测/FAST/STA/LTAKey words
hydraulic fracturing/microseismic/microseismic event detection/FAST/STA/LTA分类
天文与地球科学引用本文复制引用
李秋雨,孟晓波,陈海潮,陈欣星,陈信宇,王丽玮..基于指纹和相似性阈值方法的水力压裂过程微地震事件检测研究[J].石油物探,2024,63(1):195-206,12.基金项目
国家重点研发计划项目(2020YFA0710600)和国家自然科学基金面上项目(41974045)共同资助.This research is financially Supported by the National Key Research and Development Program(Grant No.2020YFA0710600)and the National Natural Science Foundation of China(Grant No.41974045). （2020YFA0710600）
