石油物探2017，Vol.56Issue(4)：483-490,8.DOI:10.3969/j.issn.1000-1441.2017.04.003
基于微测井资料的双线性回归稳定Q估计
Stability Q estimation by dual linear regression based on uphole survey data
摘要
Abstract
At present,uphole survey data is always used to estimate the near-surface quality factor Q by the adjacent trace spectral ratio method because of its unique advantages in the near-surface structure investigation.The estimated Q values generally show sharp jumps,poor stability and low accuracy due to the influence of travel time pickup error or velocity estimation error.Therefore,a new method for estimating quality factor Q by dual linear regression is provided from a velocity regression analysis based on the uphole survey data.We first calculate the non-adjacent trace spectral ratio of the first trace of the uphole survey data using the theory of spectral ratio method;then we estimate the quality factor Q for different layers by dual linear regression under the constraint of layered results from a velocity regression analysis.Model tests show that the method called dual linear regression based on the non-adjacent trace spectral ratio method can greatly reduce the influence of travel time pickup error and noise interference compared to the conventional adjacent trace spectral ratio method and improve the stability and accuracy of Q value estimations.The maximum relative error of the estimation Q is less than 25%,and the average relative error is about 10%.The estimation results based on real uphole survey data further show that the method can obtain more stable near-surface Q values,which are consistent with near-surface velocity layering and have clear geological significance.This method has good adaptability for logging data different uphole survey systems.关键词
微测井/线性回归/品质因子/谱比法/近地表Key words
uphole survey/linear regression/quality factor/spectral ratio method/near-surface分类
天文与地球科学引用本文复制引用
李伟娜,云美厚,党鹏飞,赵秋芳..基于微测井资料的双线性回归稳定Q估计[J].石油物探,2017,56(4):483-490,8.基金项目
河南理工大学博士基金项目(B2009-85)资助.This research is financially supported by the Fundamental Research Funds for the Doctors at Henan Polytechnic University (Grant No.B2009-85). （B2009-85）
