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

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

李芳^{1, 2,},
邓勇^{1, 2},
胡林^{1, 2},
周凡^{1, 2}

1.
中海石油(中国)有限公司海南分公司, 海口 570000
2.
中海石油(中国)有限公司湛江分公司, 广东湛江 524057

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
计量
- 文章访问数: 488
- PDF下载量: 65
- 被引次数: 0
出版历程
- 收稿日期: 2021-03-12
- 网络出版日期: 2022-09-07

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

Li Fang^{1, 2
,},
Deng Yong^{1, 2},
Hu Lin^{1, 2},
Zhou Fan^{1, 2}

1.
Hainan Branch, CNOOC China Limited, Haikou 570000, China
2.
Zhanjiang Branch, CNOOC China Limited, Zhanjiang Guangdong 524057, China

摘要

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。
- 莺歌海盆地 /
- 低孔低渗 /
- 优质储层 /
- 薄层 /
- 孔隙度 /
- 地球物理
Abstract:
The moderate deep and deeplayers of the Ledong area in the Yinggehai Basin is regarded as the main districts in recent exploration. The reservoirs in L10 zone are generally characterized by low-porosity and low-permeability, suggesting that the high-quality reservoir is the main focus restricting the further research and exploration. Through the analysis of regional petrophysical features, we established AVO template of velocity of overburden mudstones and porosity, to improve the effectiveness of AVO technology in predicting reservoir physical properties. Aiming at the large errors of porosity predicting in thin reservoirs, a new porosity prediction method based on impedance correction formula was proposed, which improved the prediction accuracy of thin layers. Numerical simulation and drilling data verified the validity and reliability of this new method and provided new directions for subsequent high-quality reservoir exploration in the Yinggehai Basin.
- Yinggehai Basin /
- low-porosity and low-permeability /
- high-quality reservoir /
- thin layer /
- porosity /
- geophysics

HTML全文

图 1 过L1井地震剖面图

Figure 1. Seismic profile across the Well L1

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图 2 L1井岩石物理交会图

Figure 2. Rock physical intersection analysis diagram of Well L1

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图 3 L1井气层AVO理论正演模拟图

Figure 3. AVO forward modelling diagram of Well L1

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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

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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

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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

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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

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图 8 阻抗与对数振幅模型测试图

Figure 8. Model test of impedance and logarithmic amplitude

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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

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图 10 实际资料测试图

Figure 10. Geological data testing graphics

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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

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图 12 优质储层孔隙度预测图

Figure 12. Porosity prediction of high-quality reservoirs

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