系统涵盖数据治理、智能算法、AI模型管理、常规图版管理、随钻录井解释、智能搜索六大功能模块，具有一键式解释模型构建、迭代优化与调用、快速生成随钻录井智能解释报告等优点，便于数据的挖掘、提取及总结规律，实现录井油气解释标准化、自动化、智能化，并具备区域普适性。

目前，系统已上传新疆油田3000余口井的数据，汇聚气测、岩屑、钻井液性能、钻井工程等18项单项录井技术采集数据及派生的600余项参数，形成录井数据子湖，集成2套自研录井油气智能解释模型，完成近5000层油气智能解释，构建常规录井解释图版37个。技术人员利用该系统对2023年新疆油田已试油井进行智能解释准确率测试，准确率较传统解释提高11%。

The system covers six functional modules: data governance, intelligent algorithm, AI model management, conventional chart management, MWD interpretation, and intelligent search. With the advantages of one-click interpretation model construction, iterative optimization and invocation, and rapid generation of MWD intelligent interpretation reports, the system facilitates data mining, extraction, and summary of rules, and realizes standardization, automation, and intelligence of oil and gas interpretation in logging. And it has regional universality.

At present, the system has uploaded the data of more than 3,000 Wells in Xinjiang oilfield, gathered the data collected by 18 individual logging technologies such as gas measurement, cuttings, drilling fluid properties, drilling engineering, and derived more than 600 parameters to form a sub-lake of logging data, integrated two sets of self-developed oil-gas intelligent interpretation models, and completed the intelligent interpretation of nearly 5,000 layers of oil-gas. Construct 37 conventional logging interpretation charts. The system is used to test the accuracy of intelligent interpretation of the tested oil Wells in Xinjiang oilfield in 2023, and the accuracy is 11% higher than that of the traditional interpretation.