井眼轨迹随钻监测与智能优化调整方法数据集

水平井井眼轨迹随钻监测及调整设计系统数据集主要面向解决“钻井过程闭环控制机制及智能决策”关机科学问题和“地面-井下智能导向控制技术”关键技术问题，包含水平井井眼轨迹随钻监测及调整案例数据和轨迹控制方法钻具结构参数数据。其中水平井井眼轨迹随钻监测及调整案例数据实钻测井数据包含了设计轨迹离散数据、实钻测井等工程数据和轨迹优化设计结果数据，计划轨迹是工程设计人员根据地质要求设计的最优钻进轨迹，实钻测井数据是实际钻进过程中无线随钻测量的数据，轨迹优化设计结果数据通过智能算法优化计算得出的数据，均记录了轨迹的井深、井斜角、方位角、垂深、北坐标和东坐标等数据，数据量为126KB。轨迹控制方法钻具结构参数数据是利用BHA受力分析，结合井眼轨迹、钻具结构等多元信息融合速度建模得到的数据，主要记录了井眼尺寸、组合编号、是否钻塞、井段、钻具组合图、钻具名称×规格型号，以及各钻具的内径、外径、长度、累计长度、累计重量、生产厂家等数据，数据量为9.16MB。

The dataset for the while-drilling monitoring and adjustment design system of horizontal wellbore trajectories is primarily developed to address the key scientific problem of "closed-loop control mechanism and intelligent decision-making during drilling operations" and the key technical problem of "ground-downhole intelligent steering control technology". It consists of two main parts of data: case data for while-drilling monitoring and adjustment of horizontal wellbore trajectories, and drilling tool structure parameter data for trajectory control methods. Specifically, the case data for while-drilling monitoring and adjustment of horizontal wellbore trajectories, which falls under the category of actual drilling logging data, includes discrete design trajectory data, engineering data such as actual drilling logging records, and trajectory optimization design result data. The planned trajectory is the optimal drilling trajectory designed by engineering personnel based on geological requirements. The actual drilling logging data refers to the data collected through wireless while-drilling measurement during the actual drilling process. The trajectory optimization design result data is obtained via optimization calculations using intelligent algorithms. All these datasets record key parameters including well depth, hole deviation angle, azimuth, vertical depth, north coordinate and east coordinate of the wellbore trajectory, with a total data volume of 126 KB. The drilling tool structure parameter data for trajectory control methods is derived from velocity modeling based on multi-information fusion, which integrates BHA stress analysis, wellbore trajectory, drilling tool structure and other relevant information. It mainly records parameters such as wellbore size, combination number, whether plug drilling is required, well section, drilling tool assembly diagram, drilling tool name × specification model, as well as the inner diameter, outer diameter, length, cumulative length, cumulative weight and manufacturer of each drilling tool, with a total data volume of 9.16 MB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于水平井钻井过程中的智能决策与导向控制，包含井眼轨迹随钻监测案例数据以及钻具结构参数数据。案例数据涵盖设计轨迹、实钻测井和优化结果，记录井深、井斜角等关键参数；钻具数据则基于受力分析和信息融合建模，提供井眼尺寸、组合详情等信息。数据集总大小为9.28MB，由西南石油大学发布，旨在支持复杂油气智能钻井研究。