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: 343
- PDF下载量: 42
- 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

下载: 全尺寸图片幻灯片

图 2 L1井岩石物理交会图

Figure 2. Rock physical intersection analysis diagram of Well L1

下载: 全尺寸图片幻灯片

图 3 L1井气层AVO理论正演模拟图

Figure 3. AVO forward modelling diagram of Well L1

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

图 8 阻抗与对数振幅模型测试图

Figure 8. Model test of impedance and logarithmic amplitude

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

图 10 实际资料测试图

Figure 10. Geological data testing graphics

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

图 12 优质储层孔隙度预测图

Figure 12. Porosity prediction of high-quality reservoirs

下载: 全尺寸图片幻灯片

参考文献(19)

[1]	王振峰, 胡代圣. 莺歌海盆地中央泥拱构造带大气田勘探方向[J]. 天然气工业, 1999, 19(1): 28-30. doi: 10.3321/j.issn:1000-0976.1999.01.008 Wang Z F, Hu D S. Prospecting for grand gas fields in the central mud diapir structure belt in Yinggehai Basin[J]. Natural Gas Industry, 1999, 19(1): 28-30(in Chinese with English abstract). doi: 10.3321/j.issn:1000-0976.1999.01.008
[2]	谢玉洪, 范彩伟. 莺歌海盆地东方区黄流组储层成因新认识[J]. 中国海上油气, 2010, 22(6): 355-359. doi: 10.3969/j.issn.1673-1506.2010.06.001 Xie Y H, Fan C W. Some new knowledge about the origin of Huangliu Formation reservoirs in Dongfang area, Yinggehai Basin[J]. China Offshore Oil and Gas, 2010, 22(6): 355-359(in Chinese with English abstract). doi: 10.3969/j.issn.1673-1506.2010.06.001
[3]	周家雄, 刘薇薇, 马光克, 等. 高温高压储层的精细地震属性预测技术: 以莺歌海盆地为例[J]. 地质勘探, 2013, 33(2): 7-11. https://www.cnki.com.cn/Article/CJFDTOTAL-TRQG201302001.htm Zhou J X, Liu W W, Ma G K, et al. Fine description and prediction of seismic attributes of HPHT gas reservoirs in the Yinggehai Basin[J]. Geological Prospecting, 2013, 33(2): 7-11(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-TRQG201302001.htm
[4]	马光克, 李芳, 周家雄, 等. 高温高压欠压实地层烃类检测方法研究[J]. 地质科技情报, 2015, 34(6): 221-226. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201506032.htm Ma G K, Li F, Zhou J X, et al. Hydrocarbon detection for high temperature and high pressure under compacted formation: A case study of Dongfang X District in Yinggehai Basin[J]. Geological Science and Technology Information, 2015, 34(6): 221-226(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201506032.htm
[5]	李芳, 邓勇, 刘仕友, 等. 欠压实低速泥岩对地震反射及AVO的影响[J]. 地质科技情报, 2017, 36(5): 244-248. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201705034.htm Li F, Deng Y, Liu S Y, et al. Under compacted low-velocity shale influence on seismic reflection and AVO features[J]. Geological Science and Technology Information, 2017, 36(5): 244-248(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201705034.htm
[6]	张建新, 范彩伟, 谭建财, 等. 莺歌海盆地中新世沉积体系演化特征及勘探意义[J]. 地质科技情报, 2019, 38(6): 51-59. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201906008.htm Zhang J X, Fan C W, Tan J C, et al. Evolution characteristics of sedimentary system in Yinggehai Basin in Miocene and its exploration significance[J]. Geological Science and Technology Information, 2019, 38(6): 51-59(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201906008.htm
[7]	Wyllie M R, Gregory A R, Gardner G H F. An experimental investigation of factors affecting elastic wave velocities in porous media[J]. Geophysics, 1958, 23(3): 459-493. doi: 10.1190/1.1438493
[8]	喻岳钰, 杨长春, 王彦飞, 等. 叠前弹性阻抗反演及其在含气储层预测中的应用[J]. 地球物理学进展, 2009, 24(2): 574-580. doi: 10.3969/j.issn.1004-2903.2009.02.027 Yu Y Y, Yang C C, Wang Y F, et al. Application of pre-stack seismic elastic impedance inversion to gas reservoir[J]. Progress in Geophysics, 2009, 24(2): 574-580(in Chinese with English abstract). doi: 10.3969/j.issn.1004-2903.2009.02.027
[9]	牛聪, 刘春成, 刘志斌, 等. 扩展弹性阻抗反演在储层预测中的应用[J]. 石油地球物理勘探, 2011, 46(增刊1): 67-71. https://www.cnki.com.cn/Article/CJFDTOTAL-SYDQ2011S1010.htm Niu C, Liu C C, Liu Z B, et al. Applications of EEI inversion in reservoir prediction[J]. Oil Geophysical Prospecting, 2011, 46(S1): 67-71(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-SYDQ2011S1010.htm
[10]	王香文, 刘红, 滕彬彬, 等. 地质统计学反演技术在薄储层预测中的应用[J]. 石油与天然气地质, 2012, 33(5): 730-735. https://www.cnki.com.cn/Article/CJFDTOTAL-SYYT201205009.htm Wang X W, Liu H, Teng B B, et al. Application of geostatistical inversion to thin reservoir prediction[J]. Oil & Gas Geology, 2012, 33(5): 730-735(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-SYYT201205009.htm
[11]	闫建平, 言语, 李尊芝, 等. 砂砾岩储层物性演化及影响因素研究: 以东营凹陷北部陡坡带为例[J]. 岩性油气藏, 2016, 28(2): 1-6. doi: 10.3969/j.issn.1673-8926.2016.02.001 Yan J P, Yan Y, Li Z Z, et al. Physical property evolution of glutenite reservoir and its influence factors: A case study from northern steep slope zone in Dongying Sag[J]. Lithologic Reservoirs, 2016, 28(2): 1-6(in Chinese with English abstract). doi: 10.3969/j.issn.1673-8926.2016.02.001
[12]	李芳, 邓勇, 郭伟, 等. 莺歌海盆地高温超压区"甜点"储层地球物理预测方法[J]. 地质科技情报, 2019, 38(3): 299-304. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201903033.htm Li F, Deng Y, Guo W, et al. "Desert" reservoir prediction by geophysical method at high temperature and overpressure district of Yinggehai Basin[J]. Geological Science and Technology Information, 2019, 38(3): 299-304(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201903033.htm
[13]	刘晓晨, 陆永潮, 杜学斌, 等. 层序格架约束下的地质统计学反演在薄砂体预测中的应用[J]. 地质科技通报, 2020, 39(3): 99-109. doi: 10.19509/j.cnki.dzkq.2020.0311 Liu X C, Lu Y C, Du X B, et al. Application of geostatistical inversion constrained by sequence framework in thin-bedded sandbody prediction[J]. Bulletin of Geological Science and Technology, 2020, 39(3): 99-109(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2020.0311
[14]	邵林海, 王九拴, 张雷, 等. 叠前同时反演在低孔低渗型砂岩储层预测及含气性检测中的应用[J]. 地质科技情报, 2016, 35(3): 145-150. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201603018.htm Shao L H, Wang J S, Zhang L, et al. Application of pre-stack simultaneous inversion in low porosity and permeability sandstone reservoirs predication and hydrocarbon detection[J]. Geological Science and Technology Information, 2016, 35(3): 145-150(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201603018.htm
[15]	秦德海, 李德郁, 蔡纪琰, 等. 扩展弹性阻抗在低孔、低渗砂砾岩储层物性预测中的应用[J]. 地球物理学进展, 2018, 33(5): 2148-2152. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201805050.htm Qin D H, Li D Y, Cai J Y, et al. Application of extended elastic impedance for physical property prediction of low porosity and low permeability glutenite reservoirs[J]. Progress in Geophysics, 2018, 33(5): 2148-2152(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201805050.htm
[16]	周家雄, 马光克, 隋波, 等. 储层参数岩石物理反演在"甜点"储层预测中应用研究: 以W17油田为例[J]. 地球物理学进展, 2019, 34(3): 1159-1169. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201903038.htm Zhou J X, Ma G K, Sui B, et al. Application of reservoir parameters rock physics inversion in the prediction of "sweet spot": A case study in W17 Oilfield[J]. Progress in Geophysics, 2019, 34(3): 1159-1169(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201903038.htm
[17]	Hill R. Elastic properties of reinforced solids: Some theoretical principles[J]. Mech. Phys. Solids, 1963, 11(1): 357-372.
[18]	Raymer L L, Hunt E R, Gardner J S. An improved sonic transit time-to-porosity transform[C]//Anon. Trans. Soc. Prof. Well Log Analysts, 21st Annual Logging Symposium, 1980: 55-59.
[19]	Gassmann F. Uber die elastizitat poroser medien[J]. Vier. Natur. Gesellschaft, 1951, 96(1): 1-23.