四川盆地泸州地区奥陶系五峰组—志留系龙马溪组页岩沉积微相划分及测井识别

通过X射线衍射分析、物性测试、薄片鉴定、地球化学分析以及测井资料，对川南泸州地区奥陶系五峰组—志留系龙马溪组深层页岩地层开展了沉积微相细分，明确了其测井响应特征及识别方法。研究结果表明：①泸州地区页岩沉积微相可细分为5个大类、8个小类，其中强还原富有机质富硅深水陆棚相物性好、含气量高、TOC含量高、脆性矿物含量高，是最优微相细分类型，主要分布于龙一段一亚段一小层； ②利用无铀伽马、自然伽马、钍含量、声波时差、中子、横波时差及钍铀比等7条敏感曲线，通过K-means的贝叶斯判别法划分的页岩地层微相细分类型，与取心结果的吻合率高于90.0%。

Sedimentary microfacies division and logging identification of Ordovician Wufeng-Silurian Longmaxi shale in Luzhou area，Sichuan Basin

Based on the data of XRD，physical properties，thin section， geochemistry and well logging，the microfacies subdivision of Ordovician Wufeng-Silurian Longmaxi shale in Luzhou area of southern Sichuan Basin was carried out，and the logging response characteristics and identification methods were defined. The results show that： （1）The microfacies of shale in Luzhou area can be subdivided into five categories and eight sub categories. Among them，the strong reduction rich organic matter and silicon-rich deep-water shelf facies is the best microfacies subdivision type with the characteristics of good physical properties and high contents of gas，TOC and brittle minerals，which is mainly distributed in the lower sublayer of Long-11 submember.（2）Using seven sensitive curves such as KTH，GR，Th， AC，CNL，DTS and Th/U，the microfacies subdivision types divided by the Bayesian discrimination method based on K-means are consistent with coring results with a coincidence rate greater than 90.0%.