摘要
由于钻井深度的获取方式与测井深度不同,导致钻井取心的深度与测井深度存在插值,需要进行岩心深度归位方可利用岩心数据辅助测井解释。本文利用MATLAB通过三次样条插值法等多种插值方法测井曲线进行插值,然后分别计算不同归位深度下岩心孔隙度与物性测井曲线之间的误差并将误差最小情况下的深度变化值确定为归位深度。该方式不仅操作便利,计算快捷,且能够在归位精度方面优于手动归位,为后续建立测井解释模型奠定了更好的基础。
Due to the different acquisition of drilling depth and logging depth,there is interpolation of drilling core depth and logging depth.Core depth placement is required to using core data to assist logging interpretation.In this paper,MATLAB is used to interpolate logging curves by various interpolation methods such as cubic spline interpolation method,and then the error between the core porosity and physical logging curves at different homing depths is calculated respectively,and the depth change value under the minimum error is determined as the homing depth.This method is not only convenient to operate,fast to calculate,but also better than manual return in terms of return accuracy,which lays a better foundation for the subsequent establishment of logging interpretation model.
作者
周明宇
罗聪
王世贸
齐兴华
Zhou Mingyu;Luo Cong;Wang Shimao;Qi Xinghua
出处
《国外测井技术》
2024年第1期55-59,M0002,共6页
World Well Logging Technology
基金
该研究受新疆工程学院国家级大学生创新创业项目(编号202310994008)及地球物理科技创新工作室经费资助。
关键词
深度归位
插值
MATLAB
测井
孔隙度
depth return
position interpolation
MATLAB
logging
porosity