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地球物理技术预测莺歌海盆地低孔低渗储层孔隙度

李芳 邓勇 胡林 周凡

李芳, 邓勇, 胡林, 周凡. 地球物理技术预测莺歌海盆地低孔低渗储层孔隙度[J]. 地质科技通报, 2022, 41(4): 84-90. doi: 10.19509/j.cnki.dzkq.2021.0060
引用本文: 李芳, 邓勇, 胡林, 周凡. 地球物理技术预测莺歌海盆地低孔低渗储层孔隙度[J]. 地质科技通报, 2022, 41(4): 84-90. doi: 10.19509/j.cnki.dzkq.2021.0060
Li Fang, Deng Yong, Hu Lin, Zhou Fan. Porosity prediction by geophysics technology at low-porosity and low-permeability reservoir of the Yinggehai Basin[J]. Bulletin of Geological Science and Technology, 2022, 41(4): 84-90. doi: 10.19509/j.cnki.dzkq.2021.0060
Citation: Li Fang, Deng Yong, Hu Lin, Zhou Fan. Porosity prediction by geophysics technology at low-porosity and low-permeability reservoir of the Yinggehai Basin[J]. Bulletin of Geological Science and Technology, 2022, 41(4): 84-90. doi: 10.19509/j.cnki.dzkq.2021.0060

地球物理技术预测莺歌海盆地低孔低渗储层孔隙度

doi: 10.19509/j.cnki.dzkq.2021.0060
基金项目: 

中海石油(中国)有限公司科研项目 CNOOC-KJ135ZDXM38ZJ02ZJ

详细信息
    作者简介:

    李芳(1986-), 女, 工程师, 主要从事海洋地震资料储层预测相关研究工作。E-mail: lifang9@cnooc.com.cn

  • 中图分类号: TE53

Porosity prediction by geophysics technology at low-porosity and low-permeability reservoir of the Yinggehai Basin

  • 摘要:

    莺歌海盆地乐东区中深层是南海西部海域勘探的重要区域, 其中, L10区钻遇储层表现为低孔-特低渗特征, 优质储层是制约该区下一步勘探与开发的主要问题。通过区域岩石物理规律分析, 建立了上覆泥岩速度及本身孔隙度变化的AVO关系模板, 提高利用AVO分析技术预测储层物性的有效性。针对本区薄层发育及薄层孔隙度预测误差大难题, 研发基于阻抗校正公式的孔隙度预测方法, 提高了薄层孔隙度预测的精度。数值模拟及实际钻井均证实了方法的有效性和可靠性, 为乐东区中深层优质储层勘探部署指明方向。

     

  • 图 1  过L1井地震剖面图

    Figure 1.  Seismic profile across the Well L1

    图 2  L1井岩石物理交会图

    Figure 2.  Rock physical intersection analysis diagram of Well L1

    图 3  L1井气层AVO理论正演模拟图

    Figure 3.  AVO forward modelling diagram of Well L1

    图 4  不同流体AVO随孔隙度变化理论模板图

    Figure 4.  Theoretical template of AVO variation with porosity for different fluids

    图 5  不同背景速度时AVO随孔隙度变化理论模板图

    Figure 5.  Theoretical template of AVO variation with porosity at different background speeds

    图 6  L10区中深层储层孔隙度敏感参数分析图

    Figure 6.  Analysis of porosity sensitive parameter of the moderate deep and deep reservoirs in the L10 zone

    图 7  不同厚度反演阻抗与真实阻抗模型测试对比图

    Figure 7.  Comparison of inversion impedance and realimpedance model with different thicknesses

    图 8  阻抗与对数振幅模型测试图

    Figure 8.  Model test of impedance and logarithmic amplitude

    图 9  薄层下不同阻抗与厚度关系测试图

    Figure 9.  Model test of different impedance and thickness of thin layers

    图 10  实际资料测试图

    Figure 10.  Geological data testing graphics

    图 11  地球物理技术精细预测低孔低渗气藏孔隙度流程

    Figure 11.  Technique workflow of porosity prediction by geophysic technology for low-porosity and low-permeability gas reservoirs

    图 12  优质储层孔隙度预测图

    Figure 12.  Porosity prediction of high-quality reservoirs

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  • 收稿日期:  2021-03-12
  • 网络出版日期:  2022-09-07

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