Abstract: To address the problems of strong nonlinearity between ultra-deep azimuthal electromagnetic look-ahead logging signals and geological parameters, high inversion difficulty, and immature related algorithms, a regularization inversion method was proposed for rapidly extracting formation resistivity and interface parameters. First, through theoretical analysis, the influence of the regularization factor on the iterative process was clarified, and a regularization factor selection algorithm was designed to restrict the model iteration amount within a preset upper limit, thereby enhancing algorithm stability. Then, the effect of the initial model on the iteration was analyzed, and an initial model database was constructed to achieve rapid selection of initial models. Finally, based on two-layer and multi-layer models, rapid inversion of look-ahead resistivity curtain graphs was generated. The results demonstrate that the regularization inversion algorithm can accurately and rapidly invert formation resistivity and boundary information, with good stability. The results lay a theoretical foundation for the future processing of electromagnetic look-ahead logging data.