岩性油气藏 ›› 2018, Vol. 30 ›› Issue (2): 67–76.doi: 10.12108/yxyqc.20180208

• 油气地质 • 上一篇    下一篇

四川盆地西北部栖霞组碳酸盐岩储层特征及主控因素

关新1, 陈世加1, 苏旺2, 乐幸福2, 张浩然3   

  1. 1. 西南石油大学 地球科学与技术学院, 成都 610500;
    2. 中国石油勘探开发研究院 西北分院, 兰州 730020;
    3. 中国石油勘探开发研究院, 北京 100083
  • 收稿日期:2017-09-11 修回日期:2018-01-08 出版日期:2018-03-21 发布日期:2018-03-21
  • 通讯作者: 苏旺(1991-),男,硕士,主要从事海相碳酸盐岩沉积储层与油气地质方面的研究工作。Email:1219014161@qq.com。 E-mail:1219014161@qq.com
  • 作者简介:关新(1992-),男,西南石油大学在读硕士研究生,研究方向为油气地质学。地址:(610500)四川省成都市新都区新都大道8号西南石油大学。Email:guanxin0226@qq.com。
  • 基金资助:
    西南石油大学项目“油气成藏地球化学青年科技创新团队计划”(编号:2015CXTD02)资助

Carbonate reservoir characteristics and main controlling factors of Middle Permian Qixia Formation in NW Sichuan Basin

GUAN Xin1, CHEN Shijia1, SU Wang2, LE Xingfu2, ZHANG Haoran3   

  1. 1. School of Geosciences and Technology, Southwest Petroleum University, Chengdu 610500, China;
    2. PetroChina Research Institute of Petroleum Exploration and Development-Northwest, Lanzhou 730020, China;
    3. PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China
  • Received:2017-09-11 Revised:2018-01-08 Online:2018-03-21 Published:2018-03-21

摘要: 四川盆地西北部中二叠统栖霞组已成为近期重点及热点勘探领域之一。针对该地区栖霞组碳酸盐岩储层特征和主控因素不清的问题,通过露头及岩心观测、岩石薄片鉴定、储层物性测试等方法,系统分析了栖霞组储层岩石学、储集空间及物性特征,并利用三维地震资料,通过古地貌恢复,讨论了储层发育的主控因素。结果表明:栖霞组储集层岩石类型主要为晶粒白云岩、豹斑状灰岩/白云岩以及少量颗粒灰岩;储集空间以晶间孔、晶间溶孔为主,溶孔(洞)及裂缝次之,具有中—低孔渗特征,其中中—粗晶白云岩储层物性最佳。栖霞组储层分布受沉积相和沉积古地貌控制,其中台缘滩、台内滩等高能沉积相带是储层形成的物质基础;沉积古地貌高地不但控制了高能相带的分布,而且还有利于后期白云石化作用和溶蚀作用的发生。位于栖霞组沉积古地貌高地的中坝—双鱼石构造带,台缘滩相白云岩储层发育,是该区最重要的勘探区带。在该区首次提出的沉积古地貌控制优质储层分布这一重要认识为该区储层地震预测提供了新的思路。

关键词: 模糊识别, 主成分分析, 岩性识别, 测井参数, 苏里格气田

Abstract: The Middle Permian Qixia Formation in NW Sichuan Basin has become the important and hot exploration field in Sichuan Basin. To clear the reservoir characteristics and main controlling factors of Qixia Formation in this area, the field outcrops and drilling core observation, rock thin section examination and reservoir physical property testing were used to analyze the characteristics of petrology, reservoir space and physical properties, three-dimensional seismic data were used to recover the ancient geomorphology, and then the main controlling factors of the reservoir were discussed. The result shows that the reservoir rocks are mainly crystalline dolomite, dolomitic leopard-spot limestone/dolomite and a small amount of grainstone. A variety of reservoir spaces are developed in Qixia Formation, and different reservoir rocks develop different reservoir space types. Intercrystalline pores, intercrystalline dissolved pores, and nonselective dissolved pores and cavities are mainly developed in the dolomite reservoir. A small amount of intragranular and intergranular dissolved pores are developed in the part of grainstone. Fractures can be developed in all types of reservoir rocks. The reservoir physical properties show the characteristics of middle-low porosity and permeability, and medium-macro-crystalline dolomite has the best reservoir property. The reservoir development is controlled by multiple factors, and the high-energy shoals in the platform-margin and intra-platform are the material foundation for the formation of reservoirs. Paleogeomorphology of sedimentary period of Qixia Formation was restored by the method of the residual thickness. The result shows that the sedimentary highland not only controls the high-energy facies belt distribution but also the main development area of the late dolomitization and dissolution, thus controlling the reservoir distribution of Qixia Formation. The Zhongba-Shuangyushi structure belt (Jiange-Jiangyou region)is in the highland of Qixia Formation paleogeomorphology, and develops platform-margin shoal facies dolomite reservoir with superior physical properties and a bigger reservoir thickness and a wider area, which shows a good exploration prospect. The important viewpoint put forward for the first time that the paleogeomorphology controls the distribution of high quality reservoir provides a good way of thinking of reservoir seismic prediction.

Key words: fuzzy recognition, principal component analysis, lithology identification, well logging curve, Sulige gasfilelds

中图分类号: 

  • TE122.2+2
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