地质勘探

柴达木盆地风西地区混积碳酸盐岩有效储层测井识别方法

  • 史亚红 ,
  • 陈文安 ,
  • 郭正权 ,
  • 刘彦鑫 ,
  • 王青川 ,
  • 李庆波 ,
  • 夏翰林 ,
  • 张慧瑜
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  • 1.青海省高原咸化湖盆油气地质重点实验室,甘肃 敦煌 736202;
    2.中国石油青海油田分公司勘探开发研究院,甘肃 敦煌 736202
史亚红(1991—),男,工程师,2016年毕业于兰州城市学院油气储运专业,2019年毕业于西南石油大学油气井工程专业,获硕士学位,现从事油气储层测井评价与研究工作。

收稿日期: 2024-10-29

  修回日期: 2025-08-01

  网络出版日期: 2025-10-30

基金资助

中国石油科技重大专项“陆相页岩油规模增储上产与勘探开发技术研究”(2023ZZ15)

Logging identification method for effective mixed carbonate reservoirs in the Fengxi Area of Qaidam Basin

  • SHI Yahong ,
  • CHEN Wen′an ,
  • GUO Zhengquan ,
  • LIU Yanxin ,
  • WANG Qingchuan ,
  • LI Qingbo ,
  • XIA Hanlin ,
  • ZHANG Huiyu
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  • 1. Qinghai Provincial Key Laboratory of Oil and Gas Geology in Plateau Saline Lake Basins, Dunhuang, Gansu 736202, China;
    2. Research Institute of Exploration and Development, PetroChina Qinghai Oilfield Company, Dunhuang, Gansu 736202, China

Received date: 2024-10-29

  Revised date: 2025-08-01

  Online published: 2025-10-30

摘要

柴达木盆地风西地区为湖相碳酸盐岩夹薄层陆源碎屑岩沉积,属于复杂混积碳酸岩盐储层,由于储层具有薄互层沉积、岩性多变、非均质性强且孔隙结构复杂的特点,有效储层评价难度大。为此,利用高分辨率电阻率成像(FMI)、岩性扫描测井(LS)和钻井取心资料,在沉积构造和岩石层理识别的基础上,将岩石结构划分为藻灰岩、暗斑状、块状、弱层状、强层状5类;利用核磁共振测井(CMR)和压汞实验将孔隙结构分为4类;结合岩石结构划分、孔隙结构分类结果,形成了一套适合该地区混积碳酸盐岩有效储层的测井识别方法。研究表明:风西地区优势储层大面积分布,横向连续稳定,但各油组纵向优势储层厚度存在差异,其中,N213单元优势储层主要集中在构造主体西翼,储层厚度向东逐渐减薄;N215单元优势储层主要集中在构造主体中部,储层厚度向两端呈现逐渐减薄趋势。研究成果有效支撑了风西地区井位部署和储量上交等研究工作。

本文引用格式

史亚红 , 陈文安 , 郭正权 , 刘彦鑫 , 王青川 , 李庆波 , 夏翰林 , 张慧瑜 . 柴达木盆地风西地区混积碳酸盐岩有效储层测井识别方法[J]. 特种油气藏, 2025 , 32(5) : 49 -57 . DOI: 10.3969/j.issn.1006-6535.2025.05.006

Abstract

The Fengxi Area in the Qaidam Basin is characterized by lacustrine carbonate interbedded with thin terrigenous clastic rocks, belonging to complex mixed carbonate reservoirs. Due to the characteristics of thin interbedded deposition, variable lithology, strong heterogeneity and complex pore structure, evaluating effective reservoirs is challenging. For this purpose, using high-resolution resistivity imaging (FMI), lithoscopic logging (LS) and drilling core data, based on the identification of sedimentary structures and rock bedding, the rock structure was classified into five types: algal limestone, dark spotted, massive, weakly layered and strongly layered; using nuclear magnetic resonance logging (CMR) and mercury injection experiments, the pore structure was classified into four types; combining the rock structure classification and pore structure classification results, a set of logging identification methods suitable for effective mixed carbonate reservoirs in this area was developed. The study shows that the dominant reservoirs in the Fengxi Area are widely distributed and laterally continuous and stable, but the vertical thickness of dominant reservoirs varies among oil units. Among them, the dominant reservoirs of unit N213 are mainly concentrated on the western flank of the main structure, with reservoir thickness gradually thinning eastward; the dominant reservoirs of unit N215 are mainly concentrated in the central part of the main structure, with reservoir thickness gradually thinning toward both ends. The research results effectively support well placement and reserves submission studies in the Fengxi Area.

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