›› 2014, Vol. 35 ›› Issue (2): 1-1.

• 论文 •    

利用锶同位素比值评价鲁迈拉油田储集层连通性

周家胜1,田昌炳1,张为民1,王 钊2   

  1. (1.中国石油 勘探开发研究院,北京 100083;2.中国石油 伊拉克公司,北京 100724)
  • 出版日期:2019-01-01 发布日期:1905-07-11

Using Strontium Isotope Ratio for Evaluation of Reservoir Connectivity in Rumaila Oilfield, Iraq

ZHOU Jiasheng1, TIAN Changbing1, ZHANG Weimin1, WANG Zhao2   

  1. (1.Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China; 2.Iraq Company, PetroChina, Beijing 100724, China)
  • Online:2019-01-01 Published:1905-07-11

摘要: 储集层连通性评价对于油气田高效开发至关重要,对其认识的准确性将影响油藏储量评估、开发策略制定,甚至决定油气田开发的成败。评价储集层连通性的方法通常有沉积相分析、岩相分析、地层压力分析、流体组分分析等,但这些方法都具有一定的不确定性。根据伊拉克鲁迈拉油田取心井的岩心残余盐锶同位素信息,分析研究了储集层在垂向上和平面上的连通性,认为主力砂岩储集层Main Pay油藏纵向上互不连通,可划分3套开发层系;主力碳酸盐岩储集层Mishrif油藏平面连通性较好,油水界面受构造控制;潜力储集层Yamama油藏在平面上连通较差,油水关系复杂,流体分布受岩性控制。实践证明,利用岩心残余盐锶同位素信息评价储集层连通性是最有效、最经济的方法之一,具有重要的推广和借鉴意义。

Abstract: Reservoir connectivity evaluation is vital for efficient development of oilfields, accurate understanding of reservoir connectivity will affect its reserves estimation, development strategy, and even decide the success or failure of oil and gas field development. The conventional methods for it include the sedimentary facies analysis, lithofacies analysis, formation pressure analysis and reservoir fluid compositional analysis. However, these methods have their uncertainties or limitations. In this paper, the strontium isotope residual salt analyses (SrRSA) methodology is introduced. This information from the cored well in Rumaila oilfield in Iraq are applied to analyzing the reservoir vertical and lateral connections, thus demonstrating that in Main Pay sandstone reservoir formation occurs the vertical disconnection. So this reservoir is divided into three sets of development sequences; the major Mishrif carbonate reservoir is good in lateral connectivity, its oil?water interface is controlled by structure; the potential Yamama reservoir is poor in lateral connectivity, and its oil?water relationship is complicated, the fluid distribution is controlled by lithology. The case study indicates that the SrRSA information is one of the most efficient and economical methods for deterministic evaluation of reservoir connectivity, and it is of great significance for references and widely application

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