Data-Driven Evaluation of Borehole Geometry Effects on Drilling Parameters in Unstable Formations

This dataset supports the manuscript titled “Data-Driven Evaluation of Borehole Geometry Effects on Drilling Parameters in Unstable Formations”, submitted to Petroleum Science and Technology. It includes processed field data from eight oil and gas wells and a Python script used to classify borehole geometry based on caliper log readings. The dataset contains key drilling parameters such as weight on bit (WOB), rotary speed (RPM), torque, standpipe pressure, and equivalent circulating density (ECD), all organized for borehole condition analysis. These resources enable replication of the statistical and predictive modeling performed in the study.本数据集支撑了提交至《Petroleum Science and Technology》（石油科学与技术）的题为《数据驱动评价不稳定地层中井眼几何形态对钻井参数的影响》（Data-Driven Evaluation of Borehole Geometry Effects on Drilling Parameters in Unstable Formations）的学术稿件。数据集包含8口油气井的经处理现场实测数据，以及一段用于基于井径测井读数分类井眼几何形态的Python脚本。数据集收录了关键钻井参数，包括钻压（weight on bit, WOB）、转盘转速（rotary speed, RPM）、扭矩、立管压力以及循环当量密度（equivalent circulating density, ECD），所有数据均已整理完成，可用于井眼工况分析。上述资源可复现本研究中的统计分析与预测建模工作。