节点文献

利用偏振约束的能量比微地震自动识别方法

THE POLARIZATION CONSTRAINED LTA /STA METHOD FOR AUTOMATIC DETECTION OF MICROSEISMIC

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 吕世超宋维琪刘彦明郭晓中张华锋

【Author】 LV Shi-chao1,SONG Wei-qi2,LIU Yan-ming3,GUO Xiao-zhong2,ZHANG Hua-feng1(1.Research Institute of Geological Sciences,Shengli Oil Field,SINOPEC,Dongying 257015,China;2.College of Geoscience and Technology,China University of Petroleum,Qingdao 266555,China;3.Geophysical Research Institute,Zhongyuan Oilfield Company,SINOPEC,Dongying 457001,China)

【机构】 中国石油化工股份有限公司胜利油田分公司地质科学研究院中国石油大学地球科学与技术学院中国石油化工股份有限公司中原油田物探研究院

【摘要】 微地震监测是分析水力压裂注水前缘或对油藏进行动态监测的一种有效方法。由于持续监测数据量大,而且有效微地震事件的出现时间无法判定,人工拾取需要耗费大量人力与时间,需要利用计算机对有效事件进行自动拾取。笔者分析了井中微地震监测背景噪声以及某些相关噪声特点,以长短时窗能量比法为基础,结合偏振分析,设计利用偏振—能量比综合的方法来识别微地震有效事件,经实际资料验证该方法具有一定的可靠性。根据实际有效信号与噪声在多级检波器之间的出现规律利用多级间时差对识别结果进行约束来排除某些特殊噪声的影响。将这种方法应用于整套水力压裂微地震监测资料中,能够快速稳定的识别出大量微地震有效事件,有比较好的应用效果。

【Abstract】 Microseismic is a useful technique applied to the fluid injecting front image and reservoir dynamic monitoring.The volume of the data is large as a result of continuous monitoring,and the break time of the microseismic events are unknown,and the manual picking will waste a long time,so the microseismic events need be automaticly detected by the computer.In this article,on the base of analysising the characters of background noise and some other correlating noise in the borehole environment are analysised,take long-toshort windows energy ratio as a basic method,combined with polarization analysis,deseign the polary-energy ratio method to detect the microseismic events,and this method is proved useful through the actual data.According to the regular of signal and noise of multichannels,constrain the result of detection with the differences of arrive time among different geophones.Apply his method to whole set of microseismic monitor data,amount of microseismic events are picked automaticely and stably,got a good application effect.

  • 【文献出处】 物探与化探 ,Geophysical and Geochemical Exploration , 编辑部邮箱 ,2013年03期
  • 【分类号】P631.4
  • 【被引频次】8
  • 【下载频次】160
节点文献中: 

本文链接的文献网络图示:

本文的引文网络