中国石油勘探 ›› 2023, Vol. 28 ›› Issue (1): 120-134.DOI: 10.3969/j.issn.1672-7703.2023.01.011

• 工程技术 • 上一篇    下一篇

陆相页岩油宏观结构测井评价及其甜点优选

刘国强1,赵先然2,袁超3,李伸专2,刘忠华4   

  1. 1 昆仑数智科技有限责任公司 ;2 斯伦贝谢中国公司;3 中国石油油气和新能源分公司;4 中国石油勘探开发研究院
  • 出版日期:2023-01-15 发布日期:2023-01-15
  • 作者简介:刘国强(1964-),男,江西鄱阳人,博士,1993年毕业于中国石油勘探开发研究院,教授级高级工程师,主要从事复杂油气藏与非常规油气测井评价方法及其智能化技术研究工作。地址:北京市石景山区京原路7号昆仑数智科技有限责任公司,邮政编码:100040。

Logging evaluation of macro-structure of continental shale oil reservoir and sweet spots selection

Liu Guoqiang1,Zhao Xianran2,Yuan Chao3,Li Shenzhuan2,Liu Zhonghua4   

  1. 1 Kunlun Digital Technology Co., Ltd.; 2 Schlumberger China; 3 PetroChina Oil, Gas & New Energies Company; 4 PetroChina Research Institute of Petroleum Exploration & Development
  • Online:2023-01-15 Published:2023-01-15

摘要: 针对中国陆相页岩油的岩性复杂、宏观结构类型多样、孔隙结构复杂以及含油特征复杂等基本地质特点与油藏特征,基于电成像、二维核磁共振、三分量感应和阵列声波等测井新技术资料的目标化处理成果所精细揭示的页岩油宏观结构特征与微观结构特征,提出了微观结构与宏观结构相融合的页岩油甜点评价新方法(简称“双结构甜点评价法”)。其技术内涵主要有:(1)基于图像边缘检测方法,建立了电成像测井评价地层宏观结构的处理技术及其处理参数的优选方法,并从测量原理、探测体积和井筒环境适用性等3个方面,系统剖析了电成像边缘检测法、三分量感应电各向异性法和阵列声波刚度法等3种宏观结构评价方法的适应性,进而提出优选应用方法;(2)基于典型区块页岩宏观结构特征的系统对比分析,并在岩心精细描述刻度下,建立了上述3种测井评价方法的宏观结构分类标准;(3)基于储层物性、含油性和脆性三要素的微观结构特征,提出了有利宏观结构优选方法。研究表明,松辽盆地古龙地区白垩系青山口组一段、鄂尔多斯盆地三叠系延长组长73亚段以及柴达木盆地英雄岭地区古近系下干柴沟组(E32)页岩油的甜点分别主要赋存在纹层状黏土质页岩、薄互层状硅质页岩和薄互层状灰云质页岩之中。

关键词: 页岩油, 宏观结构, 可动油含量, 脆性指数, 甜点, 测井

Abstract: By considering the basic geological conditions and reservoir characteristics of typical continental shale oil reservoirs in China,such as complex lithology, diversified macro-structure types, and complex pore structure and oil bearing properties, the targeted processing of new logging technologies, including electric imaging, 2D NMR, three-component induction and array acoustic waves, are conducted to finely describe the macro- and micro-structural characteristics of shale oil reservoir, and a new method fusing micro-structure and macro-structure (referred to as “double-structure sweet spot evaluation method”) is proposed to evaluate shale oil sweet spots. The main technical connotation includes: (1) Based on image edge detection method, the processing technology of electric imaging logging and optimal selection of processing parameters are researched to evaluate the formation macro-structure. In addition, the adaptability of three macro-structural evaluation methods,namely, the electric imaging logging edge detection method, three-component induction logging electric anisotropy method, and array acoustic logging stiffness coefficient method, is systematically analyzed from three aspects of measurement principle, detection volume and wellbore environment applicability, and the optimal application method is proposed. (2) Based on the systematic comparative analysis of macrostructural shale characteristics in typical blocks, and calibrated with the fine description of core samples, the macro-structural classification standards are established by using the above three logging evaluation methods. (3) Combined with the micro-structural characteristics of reservoir physical properties, oil-bearing properties and brittleness, a favorable optimization method for shale oil sweet interval is proposed based on the macro-structural characteristics. The study results show that the main sweet intervals in the first member of Qingshankou Formation (Qing 1 member) in Gulong area in Songliao Basin, the third sub member of the seventh member of Yanchang Formation (Chang 73 sub member) in Ordos Basin, and the upper part of the Paleogene Lower Ganchaigou Formation (E32) in Yingxiongling area in Qaidam Basin are developed in laminated clay shale, thin interbedded siliceous shale, and thin interbedded lime-dolomitic shale, respectively.

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