Abstract: Intelligent logging interpretation technology provides new technical method for oil and gas development. However, in the actual production process, the algorithm can be inefficient due to configuration environment and other factors. Therefore, the distributed architecture technology suitable for intelligent logging interpretation was studied. From the perspective of application and development of logging software platform, the successful application cases of big data-related technologies in the internet industry were used for reference, and the technical idea of distributed processing was adopted to carry out system design and optimization, artificial intelligence support module development, and intelligent algorithm application testing, etc. As a result, an online cluster distributed processing mechanism based on a logging software platform was initially formed. It provided technical accumulation for the efficient fusion of intelligent algorithms and logging software. The algorithm test results showed that this mechanism could effectively reduce the pressure of memory and environment when the software runs the highly iterative intelligent algorithm and effectively shorten the time required for processing and interpretation of large volume data. Distributed architecture can be used as a feasible solution for intelligent logging interpretation software, and the research results provide technical support for intelligent logging interpretation.