石油学报 ›› 2012, Vol. 33 ›› Issue (4): 625-632.DOI: 10.7623/syxb201204012

• 地质勘探 • 上一篇    下一篇

油页岩的地球物理识别和评价方法

张佳佳 李宏兵 姚逢昌   

  1. 中国石油勘探开发研究院 北京 100083
  • 收稿日期:2011-11-12 修回日期:2012-03-16 出版日期:2012-07-25 发布日期:2012-08-01
  • 通讯作者: 张佳佳
  • 作者简介:张佳佳,男,1986年11月生,2010年获中国海洋大学硕士学位,现为中国石油勘探开发研究院博士研究生,主要从事地震岩石物理与叠前储层预测方法研究。
  • 基金资助:

    国家重大科技专项“油页岩资源勘查与评价”(2008ZX05018-001)资助。

A geophysical method for the identification and evaluation of oil shale

ZHANG Jiajia LI Hongbing YAO Fengchang   

  • Received:2011-11-12 Revised:2012-03-16 Online:2012-07-25 Published:2012-08-01

摘要:

利用地球物理方法识别和评价油页岩主要是依靠测井技术,地震方面研究非常薄弱。在现有的油页岩测井响应特征和测井评价方法(ΔlogR 重叠法)的基础上对ΔlogR 重叠法进行了拓展,引入波阻抗与常规测井响应特征进行重叠来评价油页岩;同时根据油页岩的岩石结构特征,建立油页岩岩石物理模型,提出了一种基于岩石物理模型的由速度反演油页岩有机质含量的方法;最后利用地震多属性预测技术将已知钻井的含油率信息反演外推到地震数据,得到预测的含油率数据。结果表明,波阻抗ΔlogR 重叠法、岩石物理反演法和地震多属性预测法都可以有效地评价油页岩的有机碳含量和含油率。

关键词: 油页岩, ΔlogR 重叠法, 波阻抗, 岩石物理反演, 地震多属性预测

Abstract:

Currently, the identification and evaluation of oil shale in the way of geophysics is mainly depending on logging technology with few seismic means. We developed the logging evaluation method of oil shale (ΔlogR overlapping) by overlapping seismic acoustic impedance and conventional logging response characteristics to evaluate oil shale. Meanwhile, a petrophysical model for oil shale was established according to its structural characteristics and a new method to calculate the organic matter content of oil shale by inverting velocity was also presented based on this petrophysical model. Finally, the oil-cut information of a known well was inversely extrapolated to seismic data by using seismic multi-attribute prediction so as to get predicted oil-cut data. The results showed that the ΔlogR overlapping with seismic acoustic impedance, petrophysical velocity-inversion and seismic multi-attribute prediction methods are all able to effectively evaluate the total organic carbon and oil-cut of oil shale.

Key words: oil shale, ΔlogR overlapping method, acoustic impedance, petrophysical inversion, seismic multi-attribute prediction