地层抗钻特性测试与智能表征数据集

地层抗钻特性智能表征数据集主要面向近钻头工程参数测控研究、钻柱振动信号研究与地层岩石抗钻特性预测研究，对地层抗钻特性智能表征需求建设，数据集实际采集数据基于所设计近钻头工程参数测量系统使用温、压传感器产生，主要记录了钻压、扭矩、振动参数；计算机模拟数据使用随钻测录井数据基于钻柱振动模型以及地层抗钻特性预测模型产生，主要记录了近钻头振动信号、钻具振动合成信号、模型预测地层压力数据以及原始随钻测录井数据，数据量1.6G。The intelligent characterization dataset for formation drillability was developed to meet the demand for intelligent characterization of formation drillability, and is primarily oriented towards three research areas: near-bit engineering parameter measurement and control, drill string vibration signal analysis, and formation rock drillability prediction. Field-collected data was generated by the self-designed near-bit engineering parameter measurement system using temperature and pressure sensors, mainly recording weight on bit (WOB), torque, and vibration parameters. Computer-simulated data was generated based on the drill string vibration model and formation drillability prediction model using logging while drilling (LWD) data, mainly recording near-bit vibration signals, combined drill string vibration signals, model-predicted formation pressure data, and original LWD data. The total data volume of this dataset is 1.6 GB.

搜集汇总

背景与挑战

背景概述

该数据集面向近钻头工程参数测控、钻柱振动信号及地层岩石抗钻特性预测研究，包含实际采集的钻压、扭矩、振动参数，以及计算机模拟的振动信号和地层压力预测数据。数据来源于近钻头测量系统和钻柱振动模型，总数据量约为1.6GB。