摘要
本文将变形玻昂迭代法（DBIM）并结合数值模式匹配法（NMM）用于实际工程中的深感应测井仪（6FF40）的低信息量的反演和剖面成像．在反演迭代过程中，用Tikhonov正则化求解病态问题，利用NMM解的z向解析性质，避免了双重数值积分，同时提高了计算效率和反演质量．文中利用不完备的低信息量工程数据对地层电参数进行了反演，表明该方法实际工程应用的潜力．
Thsi paper deals with the profile reconstruction of the incomplete data from the deep Induction Tool (6FF40) using the distorted Born iterative method (DBIM) and an efficient numerical mode-matching (NMM) method for the conductivity distribution in a two-dimensional axisymmetric medium. In each iteration of DBIM, ill-condition problem can be improved by using the Tikhonov regularization method. NMM is applied to solve a forward solver. Meanwhile, the analytic expression of the integration in the nonlinear integral equation has been derived and then both the inversion of the efficiency and the accuracy improved dramatically. Some numerical simulation examples show that this method is useful for the interpretation of electrical logging data.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1999年第3期101-103,共3页
Acta Electronica Sinica
基金
国家自然科学基金
