This article is based on the current situation of logging professional data in Tarim Oilfield, and in response to the requirements for standardized data storage of ultra-deep oil and gas field and the needs for easier team cooperation in various fields. The development of the Well Logging Professional Data Governance System (WLPDGS) includes several important steps, including establishing a data governance structure tree, establishing a data governance process, and introducing data insight tools. At present, WLPDGS has completed scope selection, standard formation, training model design, system architecture, governance process, data storage and other links, and has strong data governance capabilities. The use of data insight tools can significantly eliminate serious model differences caused by different documents coming from open-hole well logging or production well logging, when determining the scope and priority of data governance. That’s a great improvement in both recognition efficiency and extraction accuracy. Another advantage of the system is that it only relies on those existing databases with different standards, without the need to establish new databases, and can convert unstructured data into structured data, which can be stored in data banks or data lakes, making it easier to achieve asynchronous extraction and access of multiple data sources. Now, WLPDGS has been successfully applied with powerful performance, particularly suitable for real-time retrieval by decision-makers at all levels, and is expected to lead the data governance process in Tarim or in other oil fields.