基于PSO和STC的纵波时差实时提取方法  

Real-Time Extraction of P-Wave Slowness Based on PSO and STC

作　　者：刘建建 陈江浩 余卫东 樊琦 雷晓阳 陈歆 LIU Jianjian;CHEN Jianghao;YU Weidong;FAN Qi;LEI Xiaoyang;CHEN Xin(Technology Center,China Petroleum Logging CO.LTD.,Xi’an,Shaanxi 710077,China)

机构地区：[1]中国石油集团测井有限公司技术中心,陕西西安710077

出　　处：《测井技术》2020年第4期358-361,共4页Well Logging Technology

基　　金：国家科技重大专项“大型油气田及煤层气开发”(2017ZX05019-005);中国石油天然气集团有限公司重大专项“重大工程关键技术装备研究与应用”(2018E-2107)。

摘　　要：为了在实时测井中快速准确地获取声波时差值,基于PSO算法的全局寻优特性和STC算法求取时差的原理,提出PSO算法和STC算法相结合的纵波时差提取方法。介绍PSO算法和STC算法的基本原理,阐述PSO算法与STC算法相结合求取纵波时差的实现过程与关键步骤。针对塔里木油田实际测井数据,采用不同的方法处理,并开展误差对比分析。将该方法推广应用于长庆油田Y井测井,结果表明,该方法不受时间步长与慢度步长的影响,处理速度快,与国外商业化软件处理结果具有较好的一致性,能满足现场解释要求。In order to acquire acoustic slowness quickly and accurately in real-time logging,based on the principle of global optimization of PSO algorithm and STC algorithm for calculating slowness,a new method of extraction P-wave slowness is proposed,combined with PSO and STC in the paper.The basic principles of PSO and STC algorithms are introduced,the implementation process and key steps of calculating P-wave slowness by combining PSO with STC algorithm are described.The different methods are used to analyze the logging data from Tarim oilfield,error analysis comparison is carried out.The method is applied to well Y logging in Changqing oilfield.The results show that the method is not affected by time step and slowness step,and has fast processing speed.It has good consistency compared with foreign commercial software processing results and meets the requirements of log interpretation.

关 键 词：声波测井 PSO算法 STC算法 目标函数 纵波时差 

分 类 号：P63184文献标识码:A[天文地球—地质矿产勘探]