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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．
In this paper, the Deformation Bowen iteration method (DBIM) is combined with the numerical pattern matching method (NMM) for the low-information inversion and profile imaging of deep induction logging tool (6FF40) in practical engineering. In the process of inversion iteration, Tikhonov regularization is used to solve the ill-posed problems. By using the z-direction analytic properties of NMM solution, double numerical integration is avoided and the computational efficiency and the quality of inversion are improved. In this paper, the inversion of the electrical parameters of the formation using the incomplete low-volume engineering data shows the potential of the method for practical engineering application.