卡尔曼滤波在陆上地震勘探自动化测量中的应用  

Application of Kalman filtering in automated surveying for onshore seismic survey

作　　者：范红光 宋占武 熊见贵 陈威 周强[1] FAN Hongguang;SONG Zhanwu;XIONG Jiangui;CHEN Wei;ZHOU Qiang

机构地区：[1]中国石油集团东方地球物理勘探有限责任公司国际勘探事业部,河北涿州072750 [2]中国石油集团东方地球物理勘探有限责任公司装备服务中心

出　　处：《物探装备》2024年第6期399-403,412,共6页Equipment for Geophysical Prospecting

摘　　要：随着地震勘探行业向高密度高效采集作业转变,传统人工测量放样的方法因成本高、效率低且重复性劳动多已逐渐无法满足项目需求。本文介绍了卡尔曼滤波算法的基本原理,并阐述了其在海上地震勘探中的应用情况。进一步提出了一种结合高精度GNSS定位系统和卡尔曼滤波的陆上自动化测量放样方法。在中东地区某大型三维地震勘探项目中应用该技术方案,通过车载高精度测量设备,在车辆行驶过程中实现实时高精度定位,配合机械自动化装置和辅助驾驶技术,显著提高了放样作业的效率和质量。As the seismic exploration industry transitions towards high-density and high-productivity survey operations,traditional manual surveying methods,characterized by high costs,low efficiency,and labor-intensive repetition,are becoming increasingly inadequate for project requirements.This paper introduces the fundamental principles of the Kalman filter algorithm and discusses its successful application in offshore seismic survey.Furthermore,an automated surveying and stake-out method integrating high-precision GNSS positioning system and Kalman filtering is proposed.Applied in a large-scale 3D seismic survey project in the Middle East,this technological solution utilizes high-precision vehicular measurement equipment to achieve real-time high-accuracy positioning during vehicle motion,complemented by mechanical automation and assistive driving technologies.This has significantly enhanced the efficiency and quality of staking-out operations,demonstrating its practical value and potential for broader adoption within the seismic exploration industry.

关 键 词：卡尔曼滤波 动态预估定位 机械自动化 自动测量放样 辅助驾驶 

分 类 号：P631[天文地球—地质矿产勘探]