测井技术2025，Vol.49Issue(3)：411-418,8.DOI:10.16489/j.issn.1004-1338.2025.03.009
基于卡尔曼滤波和STC的纵波时差实时提取方法
Real-Time Estimation Method of P-Wave Slowness Based on Kalman Filtering and STC
摘要
Abstract
The real-time extraction of acoustic interval time is of significant importance for rapidly evaluating reservoir quality and timely optimizing exploration and development decisions.By analyzing the variation characteristics of acoustic wave propagation speeds in different rock formations,the physical properties and structural features of subsurface strata can be effectively inferred.Acoustic interval time can not only be used to calculate formation thickness and wave velocity parameters,but also effectively identify interfaces and lithological changes within strata.The currently common real-time acoustic interval time extraction method is the first arrival threshold method.This method is prone to extracting incorrect modal waves in heterogeneous formations and complex borehole conditions,suffering from weak anti-interference capability,insufficient stability,and other issues.How to achieve stable interval time extraction while ensuring timeliness is a challenging problem.Aiming at the above problems,a novel method combining the Kalman filter algorithm with the slowness-time coherence(STC)method is proposed.This method can enhance the accuracy and stability of real-time compressional wave interval time extraction.Utilizing the Kalman filter to update the system's optimal state in real-time effectively improves the accuracy and stability of automated picking in low signal-to-noise ratio regions and slow formations.Furthermore,due to the lightweight and simplified nature of the Kalman filter,it can meet the real-time requirements of interval time extraction.This study processed acoustic logging data from three regions in China,including wireline logging and logging while drilling(LWD),verifying its advantages in extraction accuracy,stability,and timeliness under adverse conditions.It further expands the application scope of real-time interval time extraction algorithms,indicating broad prospects for the practical application of this method.关键词
阵列声波/声波时差/卡尔曼滤波/准确性/稳定性/随钻测井Key words
array acoustic wave/slowness/Kalman filtering/accuracy/stability/logging while drilling分类
天文与地球科学引用本文复制引用
孙昊,陈文辉,孙学凯,余卫东,李思亦,赵鹏..基于卡尔曼滤波和STC的纵波时差实时提取方法[J].测井技术,2025,49(3):411-418,8.基金项目
国家重点研发计划课题"声波换能器测试和工程应用"(2023YFF0720702) （2023YFF0720702）
中国石油天然气集团有限公司科技项目"175℃@60 h全系列成像测井关键技术攻关和装备研制"(2023ZZ26) （2023ZZ26）
中国石油天然气集团有限公司青年科技专项"测井声波多模态自动解析与弱观测成像技术研究"(2024DQ03120) （2024DQ03120）
中国石油集团测井有限公司科学研究与技术开发项目课题"测井地质工程一体化评价技术研究与应用"(CNLC2024-8B02) （CNLC2024-8B02）
