Application of Kalman filtering in automated surveying for onshore seismic survey
As the seismic exploration industry transitions towards high-density and high-productivity survey op-erations,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.Fur-thermore,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 techno-logical solution utilizes high-precision vehicular measurement equipment to achieve real-time high-accuracy posi-tioning 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.
Kalman filteringdynamic predictive positioningmechanical automationautomatic surveying and stake-outassisted driving
万方数据
维普
