石油与天然气地质 ›› 2022, Vol. 43 ›› Issue (5): 1180-1193.doi: 10.11743/ogg20220514

• 油气地质 • 上一篇    下一篇

陆相混积细粒储集岩岩相构型及其对甜点的控制作用

印森林1(), 陈恭洋1(), 许长福2, 熊先钺3, 赵军2, 胡可2   

  1. 1.长江大学 录井技术与工程研究院, 湖北 荆州 434023
    2.中国石油 新疆油田公司, 新疆 克拉玛依 834000
    3.中国石油 煤层气有限责任公司, 北京 100028
  • 收稿日期:2021-11-05 修回日期:2022-07-12 出版日期:2022-10-01 发布日期:2022-09-02
  • 通讯作者: 陈恭洋 E-mail:yinxiang_love@qq.com;gychen8888@126.com
  • 第一作者简介:印森林(1983—),男,博士、副教授、博士生导师,油气田开发地质。E?mail: yinxiang_love@qq.com
  • 基金项目:
    国家科技重大专项(2017ZX05008-006-004-002);国家自然科学基金项目(41502126);长江大学地质资源与地质工程一流学科开放基金项目(2019KFJJ0818022)

Lithofacies architecture of lacustrine fine-grained mixed reservoirs and its control over sweet spot: A case study of Permian Lucaogou Formation shale oil reservoir in the Jimsar Sag, Juggar Basin

Senlin Yin1(), Gongyang Chen1(), Changfu Xu2, Xianyue Xiong3, Jun Zhao2, Ke Hu2   

  1. 1.Institute of Mud Logging Technology and Engineering,Yangtze University,Jingzhou,Hubei 434023,China
    2.Xinjiang Oil Company,PetroChina,Karamay,Xinjiang 834000,China
    3.Coalbed Methane Company,PetroChina,Beijing 100028,China
  • Received:2021-11-05 Revised:2022-07-12 Online:2022-10-01 Published:2022-09-02
  • Contact: Gongyang Chen E-mail:yinxiang_love@qq.com;gychen8888@126.com

摘要:

就陆相中高成熟度混积型页岩油开发而言,岩相对甜点的控制作用还不明确。以准噶尔盆地吉木萨尔凹陷二叠系芦草沟组为例,利用岩相构型分析、无人机倾斜摄影和三维地质建模等方法,结合岩心、露头、测井、分析化验和试油动态等资料,开展了岩相构型对甜点控制作用的研究。结果表明,把传统人工考察与无人机倾斜摄影技术结合起来,从井点设置、岩相参数定量刻画、格架模型和三维岩相原型模型建立等方面出发,可以表征芦草沟组露头剖面岩相构型三维空间分布特征。混积细粒储集岩岩相构型组合主要有渐变型、突变型和特殊型3类:渐变型砂体发育程度较高,形成上、下对称状岩相构型,常表现为多个相似旋回的叠置,烃源岩优质,储集层溶蚀孔隙发育,是优质甜点;突变型砂体发育程度一般,形成非对称状岩相构型,常呈多个相似旋回的叠置,烃源岩较为优质,储集层厚度薄;特殊型属于厚层碎屑岩类型,砂体发育程度高,呈单一旋回砂体叠置,储层较为致密,为相对优质甜点。储集岩岩相构型控制了甜点分布,并影响着开发部署策略。渐变型甜点发育程度高,非均质性弱,开发效果最好,采用大规模水平井平台化作业进行效益开发;突变型非均质性强,开发效果一般,是后续接替区域;特殊型整体呈分散状,连续性较差,非均质性强,需精细研究岩相构型空间分布,结合核磁共振法所测的物性参数和含油气性参数部署水平井开发。

关键词: 混积细粒岩, 岩相构型, 无人机, 储层甜点, 页岩油, 芦草沟组, 吉木萨尔凹陷, 准噶尔盆地

Abstract:

The lithofacies architecture of lacustrine fine-grained mixed silisiclastic-carbonate reservoirs is suggested to have certain control over the distribution of sweet spot of medium- to high-mature shale oil. But how exactly the mechanism works is still not clear. To tackle the issue, a case study is performed on the Permian Lucaogou Formation shale reservoir in the Jimsar Sag, Juggar Basin. Core and outcrop observation, logging data, lab test and production test are integrated to analyze the control of lithofacies architecture upon the distribution of sweet spots and its role in formulating development strategy. During the process, technologies including lithofacies architecture analysis, drone (or unmanned aerial vehicle) photography and 3D geologic modeling are used. The results show that combining the traditional outcrop observation measures with drone photography can be very useful in representing the lithofacies architecture features of the outcrops as the technology facilitates the well setting optimization, quantitative litho facies delineation with parameters, framework modeling and 3D lithofacies modeling. The lithofacies architecture patterns of this fine-grained mixed silisiclastic-carbonate reservoirs can be classified into three types, including the gradational, abrupt and special patterns. The gradational pattern, which usually indicates the occurrence of quality sweet spots, tends to be longitudinally symmetric and contains well-developed sandbodies mostly in a superimposition of multiple similar cycles with high quality source rocks and reservoirs with well-dissolved pores. The abrupt pattern hosts medium-developed sandbodies in an asymmetric architecture with a superimposition of several similar cycles. The source rocks are fine but reservoirs are thin. The special pattern is mostly thick clastic rocks with well-developed sandbodies in superimposed single cyrcles, which contain tight reservoirs and less fine sweet spots. The lithofacies architecture patterns control the distribution of sweet spots and shall be seriously considered during development planning for the formation. The gradational architecture pattern with well-developed sweet spots, is less heterogeneous and can be easily and economically tapped with pad drilling. The abrupt architecture pattern is the second-best choice due to their strong heterogeneity. The special architecture pattern features in scattered and discontinuous distribution of sweet spots as well as strong heterogeneity, thus is comparatively the worst development targets. A fine study of the spatial distribution of the lithofacies architecture may be needed before any development plan being drawn.

Key words: fine-grained mixed silisiclastic-carbonate rocks, lithofacies architecture, drone, sweet spot, shale oil, Lucaogou Formation, Jimsar Sag, Juggar Basin

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