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辽河坳陷兴隆台潜山带中生界储层测井评价方法
引用本文:郑见中.辽河坳陷兴隆台潜山带中生界储层测井评价方法[J].石油地质与工程,2019,33(6).
作者姓名:郑见中
作者单位:中国石油辽河油田分公司勘探开发研究院,辽宁盘锦,124010
基金项目:国家科技重大专项“渤海湾盆地辽河探区深层油气形成条件与有利区综合评价”
摘    要:中生界储层主要为混杂堆积的砂砾岩、角砾岩,储层非均质性较强,不易识别追踪。通过对基础资料的分析,建立了适合兴隆台中生界的储层测井评价思路。首先,利用薄片鉴定和造岩矿物测井响应特征,把兴隆台潜山带岩性划分为测井可识别的花岗质砾岩类、混合砾岩类、砂岩类、泥岩类、玄武岩类、安山岩类、酸性流纹岩类七大类岩性,解决了岩性测井难识别的问题;同时建立了兴隆台潜山带岩性定性定量识别标准。构建密度-中子刻度差曲线辅助识别岩性,形成了针对中生界岩性的测井识别方法。其次,通过储层主控因素的分析,认为兴隆台潜山带储层,岩性控制物性、含油性,储集岩为花岗质砾岩和混合砾岩;建立了储层定性和定量识别标准,构建储层品质指示曲线来辅助识别储层,形成了储层测井识别方法。

关 键 词:辽河油田  兴隆台潜山  储层识别  测井评价  混合砾岩

Logging evaluation method of Mesozoic reservoir in Xinglongtai buried hill belt of Liaohe depression
Affiliation:,Exploration & Development Research Institute of Liaohe Oilfield Company,PetroChina
Abstract:Mesozoic reservoirs are mainly mixed accumulation of glutenite and breccia. Based on the analysis of basic data, the logging evaluation method suitable for Mesozoic reservoir in Xinglongtai was established. Firstly, based on thin section identification and logging response characteristics of rock-forming minerals, the lithology in this area can be divided into seven types: granitic conglomerate, mixed conglomerate, sandstone, mudstone, basalt, andesite and acid rhyolite, thus solving the problem of difficult identification of lithologic logging. At the meantime, the qualitative and quantitative identification criteria of lithology in this area were established, and the density-neutron calibration curve was constructed to assist lithology identification, forming a logging identification method for lithology of Mesozoic in this area. Secondly, through the analysis of main controlling factors of reservoir, it is concluded that lithology controls physical properties and oilbearing property of reservoir in Xinglongtai buried hill zone, and the reservoir rocks are granitic conglomerate and mixed conglomerate. The qualitative and quantitative identification criteria of reservoir were establishedthus forming a well logging identification method.
Keywords:Liaohe oilfield  Mesozoic in Xinglongtai  reservoir identification  logging evaluation
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