Abstract: A method for obtaining overall logging data based on an automated reasoning model is provided. The method achieves a reservoir evaluation for a reservoir matrix within a multi-depth range by generating high-quality point location prediction data. The method includes: acquiring imaging logging data and lab observing data of a stratum; inputting the imaging logging data and the lab observing data, to form dimensionless data and performing data normalization on the data; denoising known continuous data; marking a to-be-supplemented data point location; performing data supplementing for a point location in a predetermined order; and restoring a data dimension to obtain the overall logging data by supplementing. By automatically supplementing the lab observing data in analysis logging data, high-quality prediction data is obtained, which provides a basis for subsequent evaluation and analysis of the stratum, and contributes to exploration and development of resources such as oil, gas, and coal.