关键词: 钻孔倾角, 钻孔轨迹测量, 粒子群算法, 误差校正

Abstract:

In order to reduce the error between the target drilling trajectory and the actual drilling trajectory measurement results, a drilling trajectory measurement error correction method based on particle swarm optimization algorithm is proposed. A drilling trajectory calculation model is established, the values of drilling inclination angle, drilling orientation angle, and drilling azimuth angle are determined, and drilling trajectory data is collected. The sources of errors in drilling trajectory measurement is analyzed, an error transfer state space model is constructed, and the historical errors are merged to complete the calculation of drilling trajectory

measurement errors. The error correction objective function is constructed with the goal of minimizing the measurement error of the borehole trajectory. The velocity and position of particles are updated, and the fitness function is constructed. The objective function is solved by continuously updating and calculating the fitness function to complete the correction of the measurement error of the borehole trajectory. The experimental results show that the roll angle error in each direction of the proposed method is only between 0. 3° and 1. 8 °, and the drilling trajectory is highly fitted with the actual value curve, which can effectively correct the trajectory

measurement error and provide valuable reference for the actual exploration work of underground engineering.

Key words: borehole inclination angle, drilling trajectory measurement, particle swarm optimization algorithm, error correction