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The primary objective of geophysical research is the exploration of underground structures and to serve as a valuable tool for geological interpretation. The formation structure and properties can be determined by analyzing the physical properties of the underground medium reflected by geophysical data, such as density, velocity, magnetic susceptibility, resistivity, and more. Given the numerous solutions of a single geophysical method, comprehensive geophysical interpretation is currently a feasible and effective approach. This study explores lithology prediction, providing a summary of the basic principles and steps of comprehensive geophysical interpretation methods for lithology prediction. Additionally, it outlines the main technical methods of comprehensive lithology prediction involving two kinds of technical routes: knowledge-driven and data-driven. The knowledge-driven method uses prior information. It is simple, direct, and easy to understand, but has weak adaptability to the complexity and high dimension data. The data-driven method employs a mathematical statistics strategy to explore the relationship between data and has a robust capacity to adapt to complex scenarios. In solving practical problems, the supervised machine learning method, based on sufficient rock physical properties research, not only incorporates prior knowledge but also maximizes its internal data exploration ability. It can enhance the accuracy of lithology prediction and interpretation, better establish the corresponding relationship between geophysical and geological information, and support the exploration needs of resources and energy.

To enhance the performance of titanium plated coating on the surface of magnesium alloy AZ31, this study investigates the influence of N ion implantation dose on the structure, mechanical properties, and friction corrosion behavior of Ti film. The results reveal that N ion implantation leads to the formation of a new physical phase TiN and induces surface softening. However, with an increase in N ion implantation dose, microhardness of the Ti film increases due to the formation of TiN which enhances its hardness. Friction and wear experiments demonstrate that at maximum implantation dose, the coating exhibits minimal friction coefficient; however, an implantation dose of 5 × 10 ^15 ion cm ^−2 offers superior wear resistance. The electrochemical test results indicate the corrosion current density and self-corrosion potential of Ti coating decrease with the increase of implantation dose due to the formation of nitride and the presence of N element, and corrosion resistance of the modified coating has been significantly enhanced. The research results provide reference for improving the protection performance of Ti coating on magnesium alloy surface.