刘修善. 计算靶心距的通用方法[J]. 石油钻采工艺, 2008, 30(1): 7-11. DOI: 10.13639/j.odpt.2008.01.002
引用本文: 刘修善. 计算靶心距的通用方法[J]. 石油钻采工艺, 2008, 30(1): 7-11. DOI: 10.13639/j.odpt.2008.01.002
LIU Xiu-shan. Universal methods for off-target distance calculation[J]. Oil Drilling & Production Technology, 2008, 30(1): 7-11. DOI: 10.13639/j.odpt.2008.01.002
Citation: LIU Xiu-shan. Universal methods for off-target distance calculation[J]. Oil Drilling & Production Technology, 2008, 30(1): 7-11. DOI: 10.13639/j.odpt.2008.01.002

计算靶心距的通用方法

Universal methods for off-target distance calculation

  • 摘要: 靶心距是衡量井眼轨迹质量的一个关键指标,计算靶心距的核心问题是求解入靶点的坐标。通过定义靶平面的法线方向,得到了可以表述任意摆放姿态的通用靶平面方程;研究了判别入靶点所在测段的方法,给出了常用测斜计算方法的插值公式;在此基础上,得到了入靶点坐标和靶心距的计算方法,并给出了两种靶心距的表示方法;此外,还研究了是否中靶的判别方法。研究表明:靶平面方程、井眼轨迹插值以及靶心距计算方法等均具有一般性,适用于各种井型和各种姿态靶平面条件下的靶心距计算,常规定向井和水平井中的水平靶和铅垂靶只是其特例;对于现场常用的直线插值方法,提出了误差估计模型,由于直线插值会存在较大的误差,所以不推荐使用。

     

    Abstract: Off-target distance is a key index for measuring quality of borehole trajectory,of which the key is to find out solution to coordinates of target points.By defining the normal direction of target planes,a general target plane equation that can be used to describe arbitrary posture of targets is deduced.In this paper,the method of determining position of target points on measured sections is studies,as well as the interpolation formula commonly used for survey calculation is presented.Based on this,the method for calculating coordinates of target points and off-target distance is obtained,as well as two representing methods for off-target distance are given.In addition,the method for identifying whether or not hit the target is discussed.Research shows that the equation of target plane,the interpolation of borehole trajectory,and the calculating method for off-target distance have universality and can be applied to calculate off-target distance of various well types and target plane.However,horizontal and plumb targets are special cases.An error estimation model is proposed for linear interpolation method usually applied on site.It is not recommended to use the linear interpolation method since it has much error.

     

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