地质通报2023，Vol.42Issue(11)：1808-1817,10.DOI:10.12097/j.issn.1671-2552.2023.11.002
新疆三塘湖盆地石头梅地区芦草沟组油页岩测井响应特征及识别模型
Logging response characteristics and identification model of oil shale of Lucaogou Formation in Shitoumei area of Santanghu Basin,Xinjiang
摘要
Abstract
This contribution studied the organic geochemistry and logging response characteristics of oil shale in Shitoumei area of Santanghu Basin and built a △logR model based on the analysis of sample testing data and logging data,in order to establish a logging identification model of oil shale.The results show that the oil shale in the study area has high organic matter abundance and low maturity,and the organic matter type is Ⅰ—Ⅱ 1 with a medium oil yield.Compared with surrounding rock,oil shale is characterized by high resistivity,high sonic interval transit time,low density and high natural gamma.The TOC of mudstone in the study area shows the best correlation with the resistivity and the sonic interval transit time logging and a calculation formula for △logR model is thus established based on the superposition of the two logging curves.Then,through the coupling of the TOC data and △logR,a logging identification model of TOC is established.The oil yield of oil shale in the study area has a good correlation with TOC,so the logging identification model of oil yield of oil shale is established based on the relevant formulas of oil yield and TOC,as well as the relevant formulas of TOC and △logR.The correlation coefficient between the measured oil yield and the predicted oil yield based on this model can reach 0.86,indicating a good correlation.These models can be a basis for the subsequent identification of oil shale and the utilization of old well data in the study area.关键词
油页岩/测井/△logR/芦草沟组/石头梅地区/三塘湖盆地/油气勘查工程Key words
oil shale/logging response/△logR/Lucaogou Formation/Shitoumei area/Santanghu Basin/oil and gas exploration engineering分类
天文与地球科学引用本文复制引用
徐银波,姚树青,罗晓玲,毕彩芹..新疆三塘湖盆地石头梅地区芦草沟组油页岩测井响应特征及识别模型[J].地质通报,2023,42(11):1808-1817,10.基金项目
中国地质调查局项目《全国煤层气重点调查区战略性矿产调查评价》(编号:DD20230325)和国家自然科学基金项目《油页岩纹层中古环境信息重建及毫米级有机质富集机理研究》(批准号:41772092) （编号:DD20230325）
