钻井液性能智能化设计、评价与调控数据集

围绕钻井液体系的智能化设计思路，整合了钻井液处理剂结构表征数据、技术性能测试数据以及钻井液配方与应用数据三大模块，涵盖从分子结构到体系应用的多层次信息。数据主要来源于实验室自主采集，部分结合中试或现场验证结果，具备较高的代表性与完整性。在结构表征方面，数据包含红外光谱（FTIR）与扫描电镜（SEM）图像信息，可用于揭示钻井液处理剂的化学官能团与微观形貌特征；在性能测试方面，记录了材料的响应温度、响应时间与膨胀率曲线，反映其在不同环境条件下的敏感性与稳定性；在应用层面，收录了典型钻井液配方、体系性能参数及应用情况数据，用于验证处理剂在体系中的调控效果。此外，聚焦钻井液性能的智能化设计、评价与调控，构建了面向复杂地质条件的钻井液数据集。数据核心来源于中国知网近二十年公开发表的文献，通过网络爬虫技术系统采集包含钻井液体系及其性能的相关文章，并借助大语言模型进行结构化内容提取，辅以人工校对保障数据质量。数据集共包含：钻井液材料及体系应用数据1657条、体系性能数据346条、配方及现场应用数据2079条。该数据集不仅有助于深入揭示钻井液在复杂地层中稳定井壁、携岩、润滑等核心功能的作用机理，优化配方智能设计，还对推动行业经验由“隐性”向“显性”转化具有重要理论价值。该数据集可为钻井液性能优化、配方智能设计及数据驱动的调控模型构建提供可靠的数据基础，对推动钻井液智能化研发与工程应用具有重要参考价值。

Focusing on the intelligent design concept of drilling fluid systems, this dataset integrates three major modules: structural characterization data of drilling fluid additives, technical performance test data, and drilling fluid formula and application data, covering multi-level information ranging from molecular structures to system applications. The data is mainly collected independently in the laboratory, and partially combined with pilot test or field verification results, with high representativeness and integrity.
In terms of structural characterization, the data includes infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) image information, which can be used to reveal the chemical functional groups and microscopic morphology characteristics of drilling fluid additives. For performance testing, the response temperature, response time and swelling rate curves of the materials are recorded, reflecting their sensitivity and stability under different environmental conditions. At the application level, typical drilling fluid formulas, system performance parameters and application data are included to verify the regulatory effect of additives in the system.
In addition, focusing on the intelligent design, evaluation and regulation of drilling fluid performance, a drilling fluid dataset for complex geological conditions has been constructed. The core of the dataset comes from the literature published in the past 20 years on CNKI. Relevant articles about drilling fluid systems and their performance are systematically collected through web crawler technology, and structured content extraction is carried out with the help of Large Language Models (LLMs), supplemented by manual proofreading to ensure data quality. The dataset contains a total of 1657 entries of drilling fluid material and system application data, 346 entries of system performance data, and 2079 entries of formula and field application data.
This dataset not only helps to deeply reveal the mechanism of core functions of drilling fluids such as wellbore stabilization, cuttings carrying, and lubrication in complex formations, optimize the intelligent design of formulas, but also has important theoretical value for promoting the transformation of industry experience from "tacit" to "explicit". It can provide a reliable data foundation for drilling fluid performance optimization, intelligent formula design and data-driven regulatory model construction, and has important reference value for promoting intelligent R&D and engineering applications of drilling fluids.

搜集汇总

背景与挑战

背景概述

该数据集整合了钻井液处理剂的结构表征、性能测试以及配方应用数据，涵盖从分子结构到体系应用的多层次信息，数据来源于实验室采集和文献系统收集，并经过人工校对。它旨在支持钻井液性能的智能化设计、评价与调控，为优化配方和构建数据驱动模型提供可靠基础，对推动钻井液智能化研发具有重要理论价值和工程参考意义。