4/6/2025, 6:22:51 PM 星期日
SPSS软件在钻孔弯曲规律预测中的应用研究
CSTR:
作者:
作者单位:

1.中国地质大学(武汉)工程学院,湖北 武汉 430074;2.安徽省煤田地质局勘查研究院,安徽 合肥 230088

中图分类号:

P634;O212.4

基金项目:

安徽省煤田地质局项目“两淮矿区地面定向多分支水平井高效钻进技术体系研究”(编号:WMDK2020-2)


Application of SPSS software in prediction of borehole bending law
Author:
Affiliation:

1.College of Engineering, China University of Geosciences, Wuhan Hubei 430074, China;2.Exploration Research Institute, Anhui Province Bureau of Coal Geology, Hefei Anhui 230088, China

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    摘要:

    随着定向钻进技术应用越来越广泛,钻孔轨迹的控制技术变得尤为重要。为了研究钻孔自然弯曲规律,找到顶角和方位角的变化趋势,进而预测待钻钻孔轨迹的变化,使用SPSS软件对安徽省一号矿区的钻孔测斜数据进行多元方程回归统计分析。在考虑孔深、开孔点空间位置信息(x、y、z坐标)对顶角和方位角影响的基础上,建立了四元八次多项式回归方程,并采用均角全距法,将回归拟合的钻孔轴线空间位置与实际钻孔空间位置进行对比。结果表明:将钻孔原始数据进行线性处理后,用四元八次多项式进行回归,能得到较好的效果,若按照钻孔所处地层产状的不同进行分类后进行回归,拟合程度将进一步提高。利用拟合度高的回归方程,能用来预测未开孔地区的钻孔自然弯曲轨迹,对工程施工控制钻孔轨迹也起到了良好的作用,能更好指导工程的施工。

    Abstract:

    With the application of directional drilling technology more and more widely, the control technology of borehole trajectory becomes particularly important. In order to study the natural bending law of the borehole, find out the change trend of the vertex angle and azimuth angle, and then predict the change of the borehole trajectory to be drilled, use SPSS software to conduct multiple equation regression statistical analysis on the borehole inclinometer data of Anhui No.1 mining area. On the basis of considering the influence of the hole depth and the spatial location information of the hole opening point (x、y、z coordinates) on the vertex angle and azimuth angle, a quaternion octave polynomial regression equation is established, and the average angle full distance method is used to compare the spatial location of the regression fitting borehole axis with the actual borehole spatial location. The results show that after linear processing of the original drilling data, a good result can be obtained by using quaternion octave polynomial regression. If the regression is carried out after classification according to the different occurrence of the stratum where the drilling is located, the fitting degree will be further improved. The regression equation with high fitting degree can be used to predict the natural bending trajectory of the borehole in the non-perforated area, which also plays a good role in controlling the borehole trajectory in the project construction, and can better guide the project construction.

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引用本文

陆洪智,余瑞琪,石耀军. SPSS软件在钻孔弯曲规律预测中的应用研究[J].钻探工程,2023,50(4):49-56.
LU Hongzhi, YU Ruiqi, SHI Yaojun. Application of SPSS software in prediction of borehole bending law[J]. Drilling Engineering, 2023,50(4):49-56.

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  • 收稿日期:2023-01-14
  • 最后修改日期:2023-03-17
  • 录用日期:2023-03-20
  • 在线发布日期: 2023-07-20
  • 出版日期: 2023-07-10
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