基于特征参数的井眼轨迹模式识别与分段方法

Pattern Recognition and Segmentation Method of Wellbore Trajectory Based on Characteristic Parameters

针对井眼轨迹形态多变而测斜模式单一所导致的井眼轨迹拟合偏离真实钻进轨迹问题,文中提出了基于特征参数的井眼轨迹分段和模式识别方法。该方法基于充分的理论分析建立井斜角、方位角随井深的3次b样条函数,得到能够决定井眼轨迹某点邻近形状的曲线特征参数。根据该特征参数,结合各种模型的特征参数,构建井眼模式识别评价指标和分段指标,并选出最符合实钻的井眼轨迹模型。为了验证所提方法的有效性,设计了样机模拟实钻实验。研究结果表明,基于特征参数的井眼轨迹模式识别与分段方法能够有效提高井眼轨迹拟合的精度。

In view of the problem that the wellbore trajectory fitting deviates from the true drilling trajectory caused by the changeable wellbore trajectory shape and the single inclination mode,this study proposes a method of wellbore trajectory segmentation and pattern recognition based on characteristic parameters.On the basis of sufficient theory,the cubic b-spline function of well inclination and azimuth with well depth is established,and the curve characteristic parameters which can determine the adjacent shape of a certain point of the well trajectory are obtained.According to the characteristic parameters,and combined with the characteristic parameters of various models,the wellbore pattern recognition evaluation index and segmentation index are constructed,and the wellbore trajectory model that best matches the actual drilling is selected.In order to verify the effectiveness of this method,a prototype is designed to simulate the actual drilling experiment.The results show that the wellbore trajectory pattern recognition and segmenting method based on characteristic parameters can significantly improve the accuracy of wellbore trajectory fitting.