摘要
为了更深入的研究阵列声波测井资料在缝洞型碳酸盐岩储层评价中的应用,针对阵列声波中不同探测距离、不同分辨率的信息开发了三种新技术.通过对纵波进行频散分析形成了纵波频散谱的处理方法,并建立了根据频散谱的方差对碳酸盐岩储层非均质性进行评价的方法,对于井周裂缝、溶洞的识别及储层类型划分有指导意义;利用井壁斯通利波传播特性,建立了定量计算斯通利波能量衰减的方法,对于评价过井缝洞有重要作用;利用阵列声波反射波信息形成了全新的声波远探测处理方法,通过对井旁反射信息的定量表征建立了井旁缝洞发育程度的定量评价方法.阐述了这些方法的基本原理及适用条件,拓展了阵列声波测井资料在碳酸盐岩储层评价方面的应用.
In order to further study the application of array acoustic logging data in fractured vuggy carbonate reservoir evaluation,three new technologies are developed for the information of different detection distance and resolution in array acoustic wave.Through the dispersion analysis of P-wave,the processing method of P-wave dispersion spectrum is formed,and the heterogeneity of carbonate reservoir is evaluated according to the variance of dispersion spectrum,which has guiding significance for the identification of fractures and caves around wells and the classification of reservoir types;Based on the propagation characteristics of Stoneley wave in borehole wall,the calculation method of Stoneley wave energy attenuation is established,which plays an important role in the evaluation of fractures and cavities;A new acoustic remote detection processing method is formed by using the array acoustic reflection information,through the quantitative characterization of the borehole side reflection information,a quantitative evaluation method for the development degree of fractures and cavities is established.The basic principles and applicable conditions of these methods are described,and the application of array acoustic logging data in carbonate reservoir evaluation is expand.
作者
刘航
吴煜宇
贺洪举
谢冰
赖强
韩红林
LIU Hang;WU YuYu;HE HongJu;XIE Bing;LAI Qiang;HAN HongLin(CNPC Logging Company Southwest Branch,Chongqing 400020,China;Exploration and Development Research Institute,PetroChina Southwest Oil and Gasfield Company,Chengdu 610051,China)
出处
《地球物理学进展》
CSCD
北大核心
2023年第1期220-228,共9页
Progress in Geophysics
关键词
阵列声波测井
碳酸盐岩
储层评价
纵波频散
斯通利波衰减
声波远探测
Array acoustic logging
Carbonate
Reservoir evaluation
P-wave dispersion
Stoneley wave energy attenuation
Acoustic remote detection