碳化钨基复合材料成分-结构数据集
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随着全球能源战略向深地、深海领域延伸，万米级特深井钻探已成为获取油气资源、地热能源及科学钻探的核心手段。以我国塔里木盆地万米科探井为例，其井底温度突破280℃（地温梯度2.8℃/100m），井筒压力超过220MPa，同时面临含H₂S/CO₂腐蚀介质（浓度＞5%）与花岗岩硬地层（抗压强度＞350MPa）的复合作用。此类极端工况使得钻具系统承受热-力-化学-磨损四重耦合损伤，其等效服役强度达到航空发动机涡轮叶片的3-5倍，导致常规钻具材料（如渗碳钢、硬质合金）寿命骤降至不足50小时，引发频繁的非计划性起钻（每起钻1次损失＞200万元），严重制约深井作业经济性。为研发出适用于万米特深井苛刻环境的高强韧碳化钨基复合材料，提出钻具关键部件失效机理及双向防护机制，测试分析碳化钨基复合材料性能。 本数据集针对极端工况下钻具关键部件（如轴承、万向轴）的强化材料需求，系统构建了涵盖4类碳化钨基复合材料体系（WC-CoFe、WC-CoAl、WC-NiAl、WC-CoNi）、5种过渡族金属元素（Co、Ni、Fe、Al、Cr）、多个成分梯度、温度范围（步长50℃）的全要素计算数据库，共包含23万条高保真计算数据。每条数据记录包含以下核心字段：材料体系：明确标注复合材料类型（如20C+58CO+2FE+20W表示基体为WC，粘结相为58wt.%Co与2wt.%Fe的合金）；元素成分：精确至1at.%的金属元素配比；温度参数：覆盖常温至超高温环境（500-1500℃），重点聚焦300-500℃钻具典型失效温区；结构类型：基于晶体学数据库标注的相组成（FCC_A1、GRAPHITE、MC_SHP、BCC_A2等）；热力学性质：包含吉布斯自由能（G）、焓（H）、熵（S）。 数据集科学价值与工程应用：材料设计优化，成分筛选。失效机制解析，腐蚀磨损协同；工艺优化。该数据集不仅填补了国际公开数据库中深地钻探材料的空白，更推动了材料研究从“经验试错”向“数据驱动”的范式变革，为我国攻克万米级钻探装备“卡脖子”难题提供了核心数据资产。数据集共19万余条。
With the global energy strategy extending to deep underground and deep sea areas, 10,000-meter ultra-deep well drilling has become a core approach to obtain oil and gas resources, geothermal energy, and for scientific drilling. Taking the 10,000-meter scientific exploration well in the Tarim Basin of China as an example, its bottomhole temperature exceeds 280℃ (geothermal gradient of 2.8℃/100m), wellbore pressure surpasses 220MPa, and it is simultaneously subjected to the combined effects of corrosive media containing H₂S/CO₂ (concentration >5%) and hard granite formations (compressive strength >350MPa). Such extreme operating conditions subject the drilling tool system to four-way coupled damage of thermal-mechanical-chemical-wear, with its equivalent service strength reaching 3-5 times that of aeroengine turbine blades. This causes the service life of conventional drilling tool materials (such as carburized steel and cemented carbide) to plummet to less than 50 hours, triggering frequent unplanned drill string tripping operations (each tripping results in a loss of more than 2 million yuan), which severely restricts the economic viability of deep well operations. To develop high-strength and high-toughness tungsten carbide-based composites suitable for the harsh environment of 10,000-meter ultra-deep wells, this study proposes the failure mechanism and two-way protection mechanism of key drilling tool components, and conducts performance tests and analyses on tungsten carbide-based composites. This dataset targets the demand for strengthening materials for key drilling tool components (such as bearings and universal joints) under extreme operating conditions, and systematically constructs a full-factor computational database covering 4 types of tungsten carbide-based composite systems (WC-CoFe, WC-CoAl, WC-NiAl, WC-CoNi), 5 transition metal elements (Co, Ni, Fe, Al, Cr), multiple composition gradients, and temperature ranges (with a step size of 50℃), containing a total of 230,000 high-fidelity computational data entries. Each data record includes the following core fields: 1. Material system: Clearly marks the composite type (for example, 20C+58CO+2FE+20W indicates a matrix of WC and a binder phase of an alloy with 58wt.% Co and 2wt.% Fe); 2. Element composition: Metal element ratio accurate to 1at.%; 3. Temperature parameters: Covers room temperature to ultra-high temperature environments (500-1500℃), with a focus on the typical failure temperature zone of drilling tools at 300-500℃; 4. Structure type: Phase composition annotated based on the crystallographic database (such as FCC_A1, GRAPHITE, MC_SHP, BCC_A2); 5. Thermodynamic properties: Includes Gibbs free energy (G), enthalpy (H), and entropy (S). Scientific value and engineering applications of the dataset: Material design optimization and composition screening; Failure mechanism analysis and synergistic corrosion and wear; Process optimization. This dataset not only fills the gap in deep drilling materials in international open databases, but also promotes the paradigm shift of materials research from "empirical trial-and-error" to "data-driven", providing core data assets for China to overcome the bottleneck problems of 10,000-meter drilling equipment. The dataset contains more than 190,000 entries.
