松辽盆地白垩系火山-沉积地层及油气地质特征数据

01-松辽盆地松科3井白垩系烃源岩及储层测试数据主要基于松科3井沙河子组、火石岭组烃源岩岩屑样品登娄库组、泉头组碎屑岩储集层岩心样品借助相关测试分析仪器依据相关的国家和行业标准进行烃源岩地球化学以及储层特征测试分析，主要记录了岩石热解、TOC、孔渗、核磁共振、高压压汞以及恒速压汞等测试分析数据观测值，数据量33KB；02-松辽盆地中央古隆起带基岩储层物性及岩石物理性质数据主要面向松辽盆地基底储层，基于储层分析测试、岩石物理性质测试产生，主要记录了基底储层物性以及岩石密度、磁化率等数据，数据量26KB；03-松辽盆地白垩系LA-ICP-MS 锆石U-Pb测年数据主要面向同位素年代学研究，基于LA-ICP-MS仪器对松辽盆地测年样品进行测试产生，记录了松科2井沙河子组、松科3井泉头组、松辽盆地西部侏罗系-白垩系年代学测试数据，数据量53KB；04-松辽盆地白垩系火成岩地球化学数据主要基于松辽盆地营城组火山岩以及煌斑岩样品进行地球化学研究，记录了主微量元素特征数据，数据量26KB；05-新西兰Lyttelton火山中新世浅成岩脉12样品孔隙度渗透率数据主要面向松辽盆地与全球范围内同时期岩浆活动及火山岩储层对比研究，基于新西兰Lyttelton火山中新世浅成岩脉进行储层物性测试，记录了相关的孔隙度及渗透率数据，数据量18KB；06-松辽盆地松科3井沉积序列精细描述记录主要面向建立松辽盆地白垩系完整地层序列，基于松科3井全取心资料进行岩心精细刻画所产生，主要记录了松科3井岩性及颜色、沉积构造、含有物等特征，数据量98KB；07-松辽盆地松科1井嫩江组沉积序列精细描述记录主要面向建立松辽盆地白垩系完整地层序列，基于松科1井全取心资料进行岩心精细刻画所产生，主要记录了松科1井嫩江组岩性及颜色、沉积构造、含有物等特征。

01. Cretaceous source rock and reservoir test data of Well Songke-3 in Songliao Basin: This dataset is generated from geochemical analysis of source rocks and reservoir characteristic tests conducted on cuttings samples of Shahezi Formation and Huoshiling Formation source rocks, as well as core samples of Denglouku Formation and Quantou Formation clastic reservoirs from Well Songke-3, using relevant test and analysis instruments in accordance with national and industrial standards. It mainly records observed test data including rock pyrolysis, TOC, porosity and permeability, nuclear magnetic resonance (NMR), high-pressure mercury intrusion, and constant-rate mercury intrusion, with a total size of 33 KB; 02. Bedrock reservoir physical properties and petrophysical property data of the Central Paleo-uplift Belt in Songliao Basin: This dataset is targeted at bedrock reservoirs in Songliao Basin, generated from reservoir analysis tests and petrophysical property measurements. It mainly records data such as bedrock reservoir physical properties, rock density, and magnetic susceptibility, with a total size of 26 KB; 03. Cretaceous LA-ICP-MS zircon U-Pb dating data of Songliao Basin: This dataset is intended for isotopic geochronology research, generated from testing of dating samples from Songliao Basin using LA-ICP-MS instruments. It records geochronological test data of the Shahezi Formation in Well Songke-2, Quantou Formation in Well Songke-3, and Jurassic-Cretaceous strata in the western Songliao Basin, with a total size of 53 KB; 04. Cretaceous igneous rock geochemical data of Songliao Basin: This dataset is derived from geochemical research on volcanic rocks and lamprophyre samples from the Yingcheng Formation in Songliao Basin, recording major and trace element characteristic data, with a total size of 26 KB; 05. Miocene hypabyssal dike porosity and permeability data of 12 samples from Lyttelton Volcano, New Zealand: This dataset is intended for comparative research on contemporaneous magmatism and volcanic reservoirs between Songliao Basin and global regions, based on reservoir physical property tests conducted on Miocene hypabyssal dike samples from Lyttelton Volcano in New Zealand. It records relevant porosity and permeability data, with a total size of 18 KB; 06. Detailed sedimentary sequence description records of Well Songke-3 in Songliao Basin: This dataset is developed to establish a complete Cretaceous stratigraphic sequence of Songliao Basin, generated from detailed core characterization using full-core data of Well Songke-3. It mainly records characteristics such as lithology, color, sedimentary structures, and inclusions of Well Songke-3, with a total size of 98 KB; 07. Detailed sedimentary sequence description records of the Nenjiang Formation in Well Songke-1 in Songliao Basin: This dataset is developed to establish a complete Cretaceous stratigraphic sequence of Songliao Basin, generated from detailed core characterization using full-core data of Well Songke-1. It mainly records characteristics such as lithology, color, sedimentary structures, and inclusions of the Nenjiang Formation in Well Songke-1.

搜集汇总

背景与挑战

背景概述

该数据集是一个综合性地质数据集合，专注于松辽盆地白垩系火山-沉积地层及油气地质特征，包含烃源岩测试、储层物性、锆石测年、地球化学和沉积序列描述等多类数据，总数据量361.67KB。它旨在支持深层油气资源潜力评价和完整地层序列建立，来源于国家重点研发计划项目，由吉林大学发布。