基于模拟退火算法的阵列声波测井组分波慢度提取  

The research of the slowness extraction method of component waves in array acoustic logging data based on simulated annealing algorithm

作　　者：周昊仪 莫修文[2] 王丽丽 许宝寅 ZHOU Hao-Yi;MO Xiu-Wen;WANG Li-Li;XU Bao-Yin(Guangzhou Marine Geological Survey,CGS,Guangzhou 510075,China;College of GeoExploration Science and Technology,Jilin University,Changchun 130026,China;Institute of Geophysics of Jilin Oil and Gas Co.,Ltd.,China Petroleum and Natural Gas Co.,Ltd.,Songyuan 138000,China)

机构地区：[1]中国地质调查局广州海洋地质调查局,广东广州510075 [2]吉林大学地球探测科学与技术学院,吉林长春130026 [3]中国石油天然气股份有限公司吉林油田分公司地球物理研究院,吉林松原138000

出　　处：《物探与化探》2021年第2期466-472,共7页Geophysical and Geochemical Exploration

基　　金：科技部十三五重点研发计划项目课题“水合物富集区精细勘探技术应用示范”(SQ2017YFSF020181-01);松辽盆地南部致密油气成藏及动用技术研究(2017B-4905)。

摘　　要：为了提高阵列声波测井组分波慢度提取的精度,基于模拟退火算法以及慢度—时间相关(STC)法的原理,提出了模拟退火算法与慢度—时间相关法结合的阵列声波测井资料处理新方法。该算法核心是将慢度—时间相关法的相关系数经过变换作为模拟退火算法的能量函数,利用模拟退火的全局寻优能力求取组分波慢度。对于纵波,在退火前使用长短时窗能量比法进行波至点的求取可以将二维搜索简化为一维;对于其他组分波,分别使用该算法进行慢度—波至点二维搜索以提取慢度。实例表明,与常规的纵波速度测井对比,该算法提取的纵波精度比传统STC方法处理结果高9.94%;横波结果与传统STC方法的差别为0.29%;斯通利波结果与传统STC方法的差别为0.42%。算法在一定程度上提高了解释精度,在实际应用中有较好效果。To enhance the precision of slowness extraction of component waves in array acoustic logging data,the authors,based on simulated annealing algorithm and the theory of slowness-time coherence(STC)method,put forward a new method to process array acoustic data by combining simulated annealing algorithm with slowness-time coherence method.The core of the algorithm is to transform the correlation coefficient of slowness-time coherence method into the energy function of simulated annealing algorithm so that the global optimization capability of simulated annealing algorithm can be utilized to extract the slownesses of component waves.For compressional wave,the energy ratio of short window versus long window method can be applied to the computation of arrival before annealing,so that the two-dimensional search can be simplified to one-dimensional;for other component waves,the algorithm is used respectively to extract the slownesses by two-dimensional search of slowness and arrival.Examples show that,compared with conventional compressional wave logging,the precision of the processed results of compressional wave is 9.94%better than that of conventional STC;the results of shear wave have a difference of 0.29%to those of conventional STC while the difference of Stoneley wave is 0.42%.The algorithm can enhance the precision of slowness extraction of component waves to a certain extent,performing well in application.

关 键 词：阵列声波测井 慢度提取 模拟退火算法 慢度—时间相关法 

分 类 号：P631[天文地球—地质矿产勘探]