随钻测录导协同机制与地层识别数据集

随钻测录导协同机制数据集面向深层复杂地层智能表征与超前探测需求建设，依托川渝、塔里木、鄂尔多斯等 5 个国家级页岩气与碳酸盐岩示范区的随钻综合观测平台，集成 LWD 电阻率、方位伽马、声波、核磁、环空压力、转速、扭矩、振动等 18 类井下高温（175 ℃）高压（150 MPa）传感器及地面录井、导向钻井系统，连续采集2020–2025 年 47 口水平井/定向井全井段数据，覆盖碳酸盐岩、页岩、碎屑岩 3 大油气藏类型。原始数据经井场边缘计算节点实时压缩后回传云中心，通过自适应滤波、小波去噪、多源插值、多尺度标准化等预处理流程，形成 80 MB 高质量开放数据包（.las、.csv、*.dat 三格式并行）

This dataset for coordinated mechanisms of logging-while-drilling (LWD), mud logging and directional drilling is developed to meet the demands of intelligent characterization and advanced detection of deep complex formations. It is constructed based on comprehensive in-situ observation platforms during drilling deployed in 5 national-level demonstration zones for shale gas and carbonate rock reservoirs, including the Sichuan-Chongqing region, Tarim Basin and Ordos Basin. The dataset integrates 18 types of downhole high-temperature (175 ℃) and high-pressure (150 MPa) sensors such as LWD resistivity, azimuthal gamma ray, acoustic, nuclear magnetic resonance (NMR), annular pressure, rotational speed, torque and vibration sensors, as well as surface mud logging and directional drilling systems. It has continuously collected full-hole section data from 47 horizontal and directional wells over the period 2020–2025, covering three major oil and gas reservoir types: carbonate rock, shale and clastic rock. Raw data is real-time compressed at wellsite edge computing nodes before being transmitted back to the cloud center. After undergoing preprocessing workflows including adaptive filtering, wavelet denoising, multi-source interpolation and multi-scale standardization, the dataset is compiled into an 80 MB high-quality open data package with three parallel formats: .las, .csv and *.dat.

搜集汇总

背景与挑战

背景概述

该数据集是一个面向深层复杂地层智能表征与超前探测需求的随钻测录导协同机制数据集，集成多种井下传感器及地面系统，连续采集2020–2025年47口水平井/定向井全井段数据，覆盖碳酸盐岩、页岩、碎屑岩3大油气藏类型。原始数据经过预处理后形成80MB高质量开放数据包，支持dat、csv、Las三种格式。