井筒压力智能预测与闭环调控数据集

对井下动态参数的准确判断是实现自动化智能钻完井的重要基础，但目前钻井地面参数-井下动态参数响应机制不清楚，钻井参数优选与控制还依赖于传统的经验。为应对这一挑战，本研究通过开展钻井地面参数-井下动态参数响应机制研究，提出了一个面向多因素耦合条件下井筒压力、钻柱状态预测表征的数据集。井筒压力智能预测与闭环调控数据集包含耦合条件下井筒压力特征及钻井参数智能优调模拟分析数据、钻柱运动状态模拟分析数据两部分。耦合条件下井筒压力特征及钻井参数智能优调模拟分析数据采用地面-井筒-地层耦合流动实验装置测试获得，包含不同岩屑分布下井筒压力特征实验测试数据、地面-井筒-地层耦合条件下井筒压力响应特征数据；钻柱运动状态模拟分析数据通过钻柱动力学模型算法进行模拟计算得到，包含不同钻井参数、钻柱结构参数条件下钻柱运动状态模拟数据。该数据集为揭示钻井工程参数与井筒压力及钻柱状态的动态匹配机制提供了数据支持。Accurate determination of downhole dynamic parameters is a critical foundation for enabling automated intelligent drilling and well completion. However, the response mechanism between surface drilling parameters and downhole dynamic parameters remains unclear, and the optimization and control of drilling parameters still rely on traditional empirical knowledge. To address this challenge, this study conducted investigations into the response mechanism between surface drilling parameters and downhole dynamic parameters, and proposes a dataset dedicated to predicting and characterizing wellbore pressure and drill string state under multi-factor coupling conditions. The dataset for intelligent prediction and closed-loop regulation of wellbore pressure consists of two parts: simulated analysis data of wellbore pressure characteristics and intelligent optimization and adjustment of drilling parameters under coupling conditions, and simulated analysis data of drill string motion state. The first part of data, i.e., the simulated analysis data of wellbore pressure characteristics and intelligent optimization and adjustment of drilling parameters under coupling conditions, was acquired via tests using a surface-wellbore-formation coupled flow experimental apparatus, including experimental test data of wellbore pressure characteristics under different cuttings distributions and wellbore pressure response characteristic data under surface-wellbore-formation coupled conditions. The second part, the simulated analysis data of drill string motion state, was obtained through simulation calculations using drill string dynamics model algorithms, including simulated data of drill string motion state under different drilling parameters and drill string structural parameters. This dataset provides data support for revealing the dynamic matching mechanism between drilling engineering parameters, wellbore pressure and drill string state.

搜集汇总

背景与挑战

背景概述

该数据集旨在支持自动化智能钻完井，通过地面-井筒-地层耦合流动实验和钻柱动力学模型模拟，生成井筒压力特征及钻井参数优调数据、钻柱运动状态数据，以揭示钻井工程参数与井筒压力及钻柱状态的动态匹配机制。