基于 BP 神经网络的小角度井斜方位角误差补偿研究.

The well inclination and azimuth are the main measurement parameters in the calculation of the wellbore trajectory. However, compared with the azimuth error of the conventional well inclination, the azimuth angle measurement error of the inclinometer under the small angle inclination is larger. In order to improve the azimuth angle measurement accuracy of the inclinometer under the small-angle well inclination, the azimuth angle measurement under the 5°～10° small-angle well inclination was compensated based on the BP neural network algorithm. In this paper, a two-dimensional vector composed of standard well inclination and measured azimuth is used as input, and a one-dimensional vector composed of standard azimuth is used as output, and a network model of double input and single output is established. The learning samples are divided into training set and test set by random selection, so that the network has better generalization ability. The simulation test results show that the BP neural network error correction model runs stably and the compensation accuracy reaches 10 -6, which can improve the measurement accuracy of the azimuth angle under the small-angle well inclination from ±5.3° to within ±1.7°. [ABSTRACT FROM AUTHOR]