中国石油勘探 ›› 2021, Vol. 26 ›› Issue (4): 162-172.DOI: 10.3969/j.issn.1672-7703.2021.04.013

• 工程技术 • 上一篇    

准噶尔盆地玛湖凹陷二叠系下乌尔禾组核磁共振测井含油性评价方法

毛锐,申子明,常秋生,牟立伟   

  1. 中国石油新疆油田公司勘探开发研究院
  • 出版日期:2021-07-15 发布日期:2021-07-15
  • 作者简介:毛锐(1989-),男,新疆克拉玛依人,硕士,2014 年毕业于中国石油大学(华东),工程师,现主要从事储层测井评价方面的研究工作。地址:新疆克拉玛依市准噶尔路29 号勘探开发研究院,邮政编码:834000。
  • 基金资助:
    国家科技重大专项“准噶尔盆地岩性地层油气藏富集规律与目标评价”(2017ZX05001-004)。

Evaluation method of reservoir oil-bearing property by NMR logging of Permian Lower Wuerhe Formation in Mahu Sag, Junggar Basin

Mao Rui, Shen Ziming, Chang Qiusheng, Mou Liwei   

  1. Research Institute of Exploration & Development, PetroChina Xinjiang Oilfi eld Company
  • Online:2021-07-15 Published:2021-07-15

摘要: 准噶尔盆地玛湖凹陷二叠系下乌尔禾组砾岩储层具有低孔低渗、孔隙结构复杂的特点,电阻率测井在该类储层含油性评价中遇到挑战。考虑储层物性、含油性受成岩作用、沉积作用控制,根据孔隙度、黏土矿物含量将储层分为4类。利用饱和水T2谱、压汞联测实验数据,分储层类型建立大孔隙、小孔隙的毛细管压力与T2分布的转换关系,形成构建的饱和水T2谱。通过对比构建的饱和水T2谱与实测核磁T2谱,提取视含油孔隙度、含油性敏感参数,交会形成流体性质识别图版。利用含油性敏感参数分储层类型建立含油饱和度计算模型。计算的含油饱和度与密闭取心含油饱和度相对误差仅为8.65%,满足测井解释对精度的要求。

关键词: 玛湖凹陷, 砾岩储层, 储层分类, 构建饱和水T2谱, 含油性评价

Abstract: The conglomerate reservoir of Permian Lower Wuerhe Formation in Mahu Sag is characterized by low porosity and low permeability, as well as the complex pore structure. As a result, oil-bearing property evaluation is challenging by using the resistivity logging. Since the reservoir physical property and oil-bearing property are controlled by diagenesis and sedimentation, the reservoir is classifi ed into four types based on porosity and clay content. The saturated waterTspectrum and mercury injection experiment results are used to establish the relationship between capillary pressure and T2 relaxation time of large and small pores for different types of reservoirs, so as to construct the fitting saturated water T2 spectrum. By comparing the constructed saturated water T2 spectrum with the measured NMR logging T2 spectrum, the apparent oil-bearing porosity and oil-sensitive parameters are extracted to establish chart for fl uid property identifi cation. Finally, oil saturation model is established by using oil sensitive parameters for different types of reservoirs. The results show that the relative error is only 8.65% between calculated oil saturation and lab tested oil saturation from sealed core samples, which meet the requirement of highprecision logging interpretation.

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