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缝洞型碳酸盐岩储层测井识别——以塔中东部良里塔格组良二段为例
引用本文:李政宏,张立强,陈曦,赵海涛,晋倩倩.缝洞型碳酸盐岩储层测井识别——以塔中东部良里塔格组良二段为例[J].天然气地球科学,2019,30(12):1805-1814.
作者姓名:李政宏  张立强  陈曦  赵海涛  晋倩倩
作者单位:1. 中国石油大学(华东)地球科学与技术学院,山东 青岛 2665802. 帝国理工学院地球科学与工程系,英国 伦敦 SW7 2AZ3. 中国石油塔里木油田公司勘探开发研究院,新疆 库尔勒 841000
基金项目:中国科学院战略先导科技专项“深层碎屑岩储层发育机理与分布规律”(XDA14010202);中国石油天然气股份有限公司重大科技专项“塔里木盆地深层油气高效勘探开发理论及关键技术研究”(ZD2019-183-001)
摘    要:塔中东部地区良里塔格组良二段碳酸盐岩储层缝洞发育,储层类型多样且非均质性较强。在岩心和成像测井上可以比较清楚地识别出各种储层类型,但对于缺乏岩心和成像测井资料的井段难以有效识别,影响了储层预测与评价。为了解决此问题,结合岩心、薄片和成像测井资料划分了4种储层类型和2种非储层类型,储层类型包括裂缝型、孔洞型、裂缝孔洞型和洞穴型,非储层类型包括泥质充填型和致密型;依据这些类型标定常规测井信息,通过因子分析对优选出的6个测井参数提取了3个主因子,并分别解释为孔洞因子、裂缝因子和含泥因子;最后计算出因子得分,根据因子得分交会图可以有效地识别出各种储层和非储层类型。利用此方法对XX井进行储层识别,识别结果与岩心、成像测井资料吻合度高,为缝洞型碳酸盐岩储层测井识别提供了新的技术方法。

关 键 词:良里塔格组  因子分析  缝洞型储层  常规测井信息  测井识别  
收稿时间:2019-03-08

Logging identification of fractured-vuggy carbonate reservoirs: Case study from the second section of Lianglitage Formation in the eastern part of Tazhong area
Zheng-hong Li,Li-qiang Zhang,Xi Chen,Hai-tao Zhao,Qian-qian Jin.Logging identification of fractured-vuggy carbonate reservoirs: Case study from the second section of Lianglitage Formation in the eastern part of Tazhong area[J].Natural Gas Geoscience,2019,30(12):1805-1814.
Authors:Zheng-hong Li  Li-qiang Zhang  Xi Chen  Hai-tao Zhao  Qian-qian Jin
Affiliation:1. School of Geoscience, China University of Petroleum (East China), Qingdao 266580, China2. Imperial College London, London SW7 2AZ, U. K.3. Research Institute of Exploration and Development, Tarim Oilfield Company, PetroChina, Korla 841000, China
Abstract:The fractures and caverns of the carbonate reservoirs in the second section of the Lianglitage Formation in the eastern part of the Tazhong area are developed, and the reservoir types are diverse and heterogeneous. Various reservoir types can be clearly identified based on core and imaging logging, but it is difficult to identify wells that lack core and imaging logging data, which affects reservoir prediction and evaluation. In order to solve this problem, four reservoir types and two non-reservoir types are classified based on core, thin section and image logging data. The reservoir types include fracture reservoir, vugular reservoir, fractured-vugular reservoir and cave reservoir, and non-reservoir types includes mud filling and compact. According to these types, the conventional logging information is calibrated. Three principal factors were extracted from the six well logging parameters by factor analysis, which were interpreted as pore factors, fracture factors and mud factors. Finally, the factor score is calculated, and various reservoir and non-reservoir types can be effectively identified according to the factor score crossplots. This method is used to identify the reservoir of Well XX, and the recognition result is highly consistent with the core and imaging logging data, which provides a new technical method for logging identification of fractured-vuggy carbonate reservoirs.
Keywords:Lianglitage Formation  Factor analysis  Fractured-vuggy reservoirs  Conventional logging information  Log identification  
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