›› 2019, Vol. 40 ›› Issue (5): 1-1.doi: 10.7657/XJPG20190519

• 论文 •    

基于岩石物理实验的致密油储集层脆性指数预测——以柴达木盆地跃灰101井区为例

张平1,夏晓敏2,崔涵2,陈园园2,王文卓2   

  1. (1.中国石油 勘探开发研究院 西北分院,兰州 730020;2.中国石油 青海油田分公司 勘探开发研究院,甘肃 敦煌 736202)
  • 出版日期:2019-10-01 发布日期:1905-07-19

Tight Oil Reservoir Brittleness Index Prediction Based on Petrophysical Experiments: A Case from Yuehui 101 Area of Qaidam Basin

ZHANG Ping1, XIA Xiaomin2, CUI Han2, CHEN Yuanyuan2, WANG Wenzhuo2   

  1. (1.Northwest Branch, Research Institute of Petroleum Exploration and Development, PetroChina, Lanzhou, Gansu 730020, China; 2. Research Institute of Exploration and Development, Qinghai Oilfield Company, PetroChina, Dunhuang, Gansu 736202, China)
  • Online:2019-10-01 Published:1905-07-19

摘要: 柴达木盆地柴西南区跃灰101井区下干柴沟组上段Ⅳ油组储集层为致密湖相碳酸盐岩,该类储集层脆性评价缺乏定量表征依据。通过致密油储集层脆性指数预测,探讨了致密油储集层脆性评价的关键技术。首先,在岩心X射线衍射全岩矿物分析基础上,利用矿物含量计算样品脆性指数,在岩石高温高压三轴力学实验和声波三轴实验基础上,定量计算样品脆性指数,进一步确定动、静态杨氏模量及纵、横波转换关系;其次,通过叠前弹性参数同时反演技术,获取纵、横波阻抗及密度数据体,进而计算杨氏模量和泊松比数据体,利用动、静态杨氏模量关系将其转换到静态杨氏模量,完成静态脆性指数计算;最后,对目的层的脆性及岩性平面分布进行分析,明确致密油勘探重点区域,并通过后续实钻井验证方法有效性。

Abstract: The Ⅳ oil member of the upper section of the lower Ganchaigou formation in the Yuehui 101 area of the southwestern Qaidam basin belongs to tight lacustrine carbonate reservoirs, which lacks of quantitative characterization basis for its brittleness evaluation. The key technology for tight oil reservoir brittleness evaluation is discussed based on the tight reservoir brittleness prediction. At first, based on the whole rock mineral analysis by core X-ray diffraction, the brittleness index of rock sample is calculated qualitatively by using mineral content. Based on high-temperature high-pressure triaxial mechanical tests and acoustic triaxial experiments for rocks, the brittleness index of the sample is calculated quantitatively and furthermore, the transforming relations between the static and dynamic Young’s modulus and between the P-velocity and S-velocity are determined. Secondly, the simultaneous inversion technology of pre-stack elastic parameters is used, the P-impedance, S-impedance and density data are obtained. Then Young’s modulus and Poisson’s ratio are calculated, and the dynamic and static Young’s modulus relations are used to convert them into the static Young’s modulus, so as to complete the calculation of static brittleness index. Finally, the distributions of brittleness and lithology in the target zone are analyzed to identify the key areas for tight oil exploration, and the effectiveness of the method has been verified by subsequent well drilling

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