钻井全局协同优化与智能决策数据集

本数据集为涵盖实际钻井数据与仿真决策结果的综合性数据集，完整呈现了从原始数据采集、耦合模型仿真到全局优化决策的全链条数据，为研究钻井多过程协同机制与开发智能优化算法提供了基准。数据集共包括4个数据文件，其中：(1)钻井井筒水力学-破岩钻进参数数据.csv是新疆某油田钻井参数数据，数据量为14KB；(2)钻井实时录井数据.csv是钻井现场的机械钻速、压力窗口验证数据，数据量为34KB；(3)钻速预测模型数值仿真结果数据.csv是计算机数值分析的钻速预测结果数据，数据量为11KB；(4)钻井过程协同优化与决策结果数据.csv是研究所提方法采取计算机数值分析方式实现的节流阀开度、泵流量、转速、钻压智能决策结果数据与机械钻速、井底压力的协同优化结构数据，数据量为47KB。

This comprehensive dataset covers actual drilling data and simulation-based decision results, and fully presents the full-chain data spanning from raw data collection, coupled model simulation to global optimization decision-making, providing a benchmark for studying the collaborative mechanism of multiple drilling processes and developing intelligent optimization algorithms. This dataset consists of 4 data files, detailed as follows:
(1) Drilling Wellbore Hydraulics-Rock Breaking Drilling Parameter Data.csv: Drilling parameter data from an oilfield in Xinjiang, with a size of 14 KB;
(2) Drilling Real-time Logging Data.csv: Data of rate of penetration (ROP) and pressure window validation collected on drilling sites, with a size of 34 KB;
(3) Drilling Rate Prediction Model Numerical Simulation Result Data.csv: Drilling rate prediction result data obtained through computer numerical analysis, with a size of 11 KB;
(4) Drilling Process Collaborative Optimization and Decision-making Result Data.csv: Collaborative optimization structure data including intelligent decision-making results of throttle valve opening, pump flow rate, rotational speed and weight on bit (WOB), as well as rate of penetration (ROP) and bottomhole pressure, obtained by the proposed method through computer numerical analysis, with a size of 47 KB.

搜集汇总

背景与挑战

背景概述

该数据集是一个综合性钻井数据与仿真决策结果集合，覆盖从原始数据采集到全局优化决策的全链条过程，旨在支持钻井多过程协同机制研究和智能优化算法开发。数据集包含4个文件，涉及钻井参数、实时录井、钻速预测和协同优化结果，总数据量104.42KB，由中国石油大学（北京）基于国家重点研发计划项目发布。