奇异值分解提取阵列声波时差的改进方法  

An improved method for extracting array acoustic time difference by singular value decomposition

作　　者：李鹏举[1,2] 吴昀朔 任莉 Li Pengju;Wu Yunshuo;Ren Li(Earth Science Institute,Northeast Petroleum University,Daqing 163318,China;Accumulation&Development of Unconventional Oil&Gas,State Key Laboratory Cultivation Base Jointy-Constructed by Heilongjiang Province&Ministry of Science&Technology,Northeast Petroleum University,Daqing 163318,China;Interpretation&Evaluation Center,Daqing Branch of CNPC Logging Co.Ltd.,Daqing 163000,China)

机构地区：[1]东北石油大学地球科学学院,黑龙江大庆163318 [2]东北石油大学,非常规油气成藏与开发省部共建国家重点实验室培育基地,黑龙江大庆163318 [3]中国石油集团测井有限公司大庆分公司解释评价中心,黑龙江大庆163000

出　　处：《黑龙江科技大学学报》2020年第2期200-204,共5页Journal of Heilongjiang University of Science And Technology

摘　　要：为提高阵列声波时差提取精度,在常规矩阵奇异值分解法基础上,利用子空间类和加权函数对信噪比计算方法加以改进,提出一种新的阵列声波测井全波时差提取方法。将该方法挂接到CIFlog测井处理解释平台上,处理解释交叉多极阵列声波测井(XMAC-Ⅱ)资料。结果表明,与STC时差提取结果比较,改进后的奇异值分解法能够可靠地提取阵列声波时差,计算效率较高。该方法具有较高的实用价值。This paper proposes a new full-wave time difference extraction method for array acoustic logging to improve the precision of array acoustic time difference extraction.The method is improved by using the conventional matrix singular value decomposition method,and subspace class and weighted function.This method is connected to CIFlog logging processing and interpretation platform to process and interpret cross multipole array acoustic logging(XMAC-Ⅱ)data.The results show that the improved method capable of reliably extracting array acoustic time difference demonstrates a higher calculation efficiency than STC time difference extraction method and promises a greater practical value.

关 键 词：阵列声波测井 奇异值分解 子空间类算法 加权函数法 

分 类 号：TE19[石油与天然气工程—油气勘探] TP301.6[自动化与计算机技术—计算机系统结构]