世界核地质科学

铀矿勘查是一项数据密集型工作，其核心成果蕴含于海量多源异构的钻孔资料中，钻孔测井则是钻孔综合解释的重要技术手段。当前，测井数据格式不一、标准互异、管理分散形成的“数据孤岛”问题，严重制约了勘查数字化与智能化进程。面向铀矿勘查实际需求，针对多源异构测井数据造成的“数据孤岛”问题及人工综合解释效率较低的现状，设计并实现了一套智能化的钻孔测井资料处理解释系统。系统重点攻克了LAS等测井专业数据格式的解析与标准化，设计开发了基于JSON Schema的通用数据转换引擎，并深度集成了包含死时间校正、反褶积滤波、矿层自动识别等专业化γ测井解释算法的智能工作流。通过智能映射算法，系统能够自动解析原始文件的元数据与曲线数据，完成清洗、校验并加载至标准化的PostgreSQL数据库中。此外，系统构建了多源数据协同可视化、规则驱动自动解释、交互式修正和成果一键生成4个环节，实现了解释过程的智能化变革。系统实际应用结果表明，数据集成、单孔综合解释工作时间由数小时压缩至数十分钟，且自动解释成果与专家判识结果吻合度超过90 %。钻孔测井资料处理解释系统，将钻孔测井资料解释工作从高度依赖人工、耗时费力的传统模式，转变为以数据驱动、算法为核心的高效、精准和标准化的现代工作模式，显著提升了数据集成与解释效率，有效解决了“数据孤岛”问题，为实现铀矿测井资料处理的自动化与智能化提供了高效可靠的解决方案。

Uranium exploration is a data-intensive task，and its core results are embedded in the vast amount of multi-source heterogeneous borehole data. Borehole logging is an important technical means for comprehensive data interpretation. At present，the problem of “data silos”caused by inconsistent logging data formats，disparate standards and decentralized management has seriously restricted the digitalization and intelligence process of exploration. Oriented to the practical demands of uranium exploration，this paper introduced the design and implementation of an intelligent processing and interpretation system to address the problem of borehole logging “data silo”and the low efficiency of manual comprehensive interpretation. The system focuses on analysis and standardization of professional logging data formats such as LAS，develops a universal data conversion engine based on JSON Schema，and deeply integrates intelligent workflows containing specialized gamma logging interpretation algorithms including dead-time correction，deconvolution filtering and automatic ore bed identification. Supported by an intelligent mapping algorithm，the system can automatically parse metadata and curve data from raw files，complete data cleaning and verification，and import standardized data into a PostgreSQL database. With the four links of collaborative visualization of multi-source data，rule-driven automatic interpretation，interactive correction and one-click output of interpretation results，the system will realize the intelligent upgrading of the interpretation workflow. Field application results demonstrated that the working time for data integration and single-hole comprehensive interpretation has been shortened from several hours to tens of minutes，and the consistency between automatically generated interpretations and expert identification results exceeded 90 %. Therefore，the proposed borehole logging processing and interpretation system can transform the traditional time-consuming and laborious logging interpretation into an efficient，accurate and standardized data-driven model centered on algorithms，which effectively resolves the “data silo”dilemma，and provides an efficient and reliable solution for automatic and intelligent processing of uranium logging data.