基于自然伽马测井信号的维纳滤波法求取泥质含量

吴国平; 苏江玉; 成实; 黄婧芝

Volume 33 Issue 4

Jul. 2008

Turn off MathJax

Article Contents

Article Navigation > Earth Science > 2008 > 33(4): 572-576

WU Guo-ping, SU Jiang-yu, CHENG Shi, HUANG Jing-zhi, 2008. A Method for Obtaining Shaliness Using Wiener Filtering Based on Logging Data Natural Gamma Ray. Earth Science, 33(4): 572-576.

Citation:

WU Guo-ping, SU Jiang-yu, CHENG Shi, HUANG Jing-zhi, 2008. A Method for Obtaining Shaliness Using Wiener Filtering Based on Logging Data Natural Gamma Ray. Earth Science, 33(4): 572-576.

WU Guo-ping, SU Jiang-yu, CHENG Shi, HUANG Jing-zhi, 2008. A Method for Obtaining Shaliness Using Wiener Filtering Based on Logging Data Natural Gamma Ray. Earth Science, 33(4): 572-576.

Citation:

WU Guo-ping, SU Jiang-yu, CHENG Shi, HUANG Jing-zhi, 2008. A Method for Obtaining Shaliness Using Wiener Filtering Based on Logging Data Natural Gamma Ray. Earth Science, 33(4): 572-576.

PDF( 488 KB)

A Method for Obtaining Shaliness Using Wiener Filtering Based on Logging Data Natural Gamma Ray

1.
Institute of Information Engineering , China University of Geosciences, Wuhan 430074, China
2.
Northwest Petroleum Bureau , SINOPEC Northwest Branch , Urumchi 830011, China

Received Date: 2007-09-16
Publish Date: 2008-07-25

Abstract

Abstract

The research on approaches to calculate shaliness accurately and efficiently is of great significance for reservoir capacity estimation, as shaliness is an important parameter to evaluate the reservoir qualitatively and quantitatively.Considering logging data GR (natural gamma ray) is the measured output from its real value which passes through a convolution filter, this paper proposes a new approach to calculate the value of shaliness according to GR values directly.The inversion filter factors can be acquired from a certain sequence of the measured logging data GR and the real value of GR, by taking advantage of Wiener filtering.Then, shaliness can be expressed as a convolution between GR sequence and the inversion filter factors.Experiments on core-analysis-data supported oil well K13, Northwest China show that shaliness values obtained with the above method are much more accurate than those obtained with conventional methods.Its trial application in oil well K11, S44, S4 of the same exploration area has proved to be very effective.
- natural gamma ray,
- shaliness,
- Wiener filter,
- inversion filter factors

FullText(HTML)

References(31)

References

Cheng, M., McNaughton, D., 1996. Productivity predictionfrom well logs in variable grain-size reservoirs. CSPG Reservoir, 23 (11): 7.

Fang, Z. L., Wu, M. D., Feng, Q. N., 2005. Advances in welllogging. Oil Forum, (2): 32-35 (in Chinese).

Hu, B., Rao, C. H., 2004. The application of increamental Wiener filters in image deconvolution of wavefront sensing. Acta Optica Sinica, 24 (10): 1305-1309 (inChinese with English abstract).

Huang, K., Yang, X. H., Xu, Q. Z., et al., 1998. The relation among porosity, shaliness and P-and S-wave velocity of seismic wave. Xinjiang Petroleum Geology, 19 (6): 462-464, 525 (in Chinese with English abstract).

Hunt, E., Pursell, D., 1997. Fundamentals of log analysis; Part7, Determining shaliness fromlogs. World Oil, 218 (3): 55-56, 58.

Jiang, S., Cai, D. S., Zhu, X. M., et al., 2007. Mechanism of the pore evolution in Liaodong Bay area. Earth Science—Journal of China University of Geosciences, 32 (3): 366-372 (in Chinese with English abstract).

Li, Z. B., 1995. Well drilling and physical geography exploration. Geological Publishing House, Beijing, 1-264 (inChinese).

Ma, H. Y., Yin, C., Li, D. W., 2006. Deconvolution theoremandits application in seismic data processing. West-China Exploration Engineering, 18 (3): 91-92 (in Chinese).

Mao, Z. Q., 2003. Controlling effects of poor permeable layers upon accumulation and distribution of hydrocarbon in inhomogeneous sandstone reservoir. Earth Science—Journal of China University of Geosciences, 28 (2): 196-200 (in Chinese with English abstract).

Porsani, M. J., 1996. Fast algorithms to design discrete Wiener filters in lag and length coordinates. Geophysics, 61 (3): 882-890. doi: 10.1190/1.1444013

Shi, G., Yang, D. Q., 2001. The regression analysis study onvelocity and porosity, and clay content of rocks. Acta Scicentiarum Naturalium Universitatis Pekinensis, 37 (3): 379-384 (in Chinese with English abstract).

Wang, L. J., 2004. Evaluation and prediction of gas reservoir productivity by the use of log data. Geological Scienceand Technology Information, 23 (3): 57-60 (in Chi-nese with English abstract).

Xie, Y. F., Li, H. Q., Sun, Z. C., et al., 2006. Logging datahigh-resolution sequence stratigraphy. Earth Science—Journal of China University of Geosciences, 31 (2): 237-244 (in Chinese with English abstract).

Yao, T. R., Sun, H., 1999. Advanced digital signal processing. Huazhong University of Science and Technology Press, Wuhan, 1-351 (in Chinese).

Zeng, W. C., 2005. The development and application of themodern well logging technology. Petrochemical Industry Trends, 13 (7): 31-35, 44 (in Chinese with Englishabstract).

Zhao, P., Zhang, M. L., Liu, J. C., et al., 2006. Status and trends of logging techniques at home and abroad. Well Logging Technology, 30 (5): 385-389 (in Chinesewith English abstract).

Zhu, J. B., 2006. The application of MATLAB in well logging data processing. Petroleum Geophysics, 4 (1): 42-44 (in Chinese with English abstract).

方朝亮, 吴铭德, 冯启宁, 2005. 测井关键技术展望. 石油科技论坛, (2): 32-35.

胡边, 饶长辉, 2004. 增量维纳滤波法在波前探测解卷积中的应用. 光学学报, 24 (10): 1305-1309. doi: 10.3321/j.issn:0253-2239.2004.10.003

黄凯, 杨晓海, 徐群洲, 等, 1998. 储集层孔隙度、泥质含量与地震纵横波传播速度的关系. 新疆石油地质, 19 (6): 462-464, 525. https://www.cnki.com.cn/Article/CJFDTOTAL-XJSD806.004.htm

蒋恕, 蔡东升, 朱筱敏, 等, 2007. 辽东湾地区孔隙演化的机理. 地球科学——中国地质大学学报, 32 (3): 366-372. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200703008.htm

李舟波, 1995. 钻井地球物理勘探. 北京: 地质出版社, 1-264. doi: 10.3321/j.issn:0476-0301.1995.01.008

马洪艳, 尹成, 李大卫, 2006. 反卷积的直接解法及其在地震资料处理中的应用. 西部探矿工程, 18 (3): 91-92. doi: 10.3969/j.issn.1004-5716.2006.03.044

毛志强, 2003. 非均质储层夹层控油作用初论——非均质储层油气分布规律及测井响应特征. 地球科学——中国地质大学学报, 28 (2): 196-200. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200302014.htm

史謌, 杨东全, 2001. 岩石波速和孔隙度、泥质含量之间的关系研究. 北京大学学报(自然科学版), 37 (3): 379-384. doi: 10.3321/j.issn:0479-8023.2001.03.015

汪立君, 2004. 利用测井资料进行天然气储层产能的评价与预测. 地质科技情报, 23 (3): 57-60. doi: 10.3969/j.issn.1000-7849.2004.03.011

谢寅符, 李洪奇, 孙中春, 等, 2006. 井资料高分辨率层序地层学. 地球科学——中国地质大学学报, 31 (2): 237-244. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200602013.htm

姚天任, 孙洪, 1999. 现代数字信号处理. 武汉: 华中理工大学出版社, 1-351. https://www.cnki.com.cn/Article/CJFDTOTAL-SYSY202107035.htm

曾文冲, 2005. 现代测井技术的发展与应用. 当代石油石化, 13 (7): 31-35, 44. doi: 10.3969/j.issn.1009-6809.2005.07.007

赵平, 张美铃, 刘甲辰, 等, 2006.2004-2005年国内外测井技术现状及发展趋势. 测井技术, 30 (5): 385-389.

朱剑兵, 2006. MATLAB软件在测井资料处理中的应用. 油气地球物理, 4 (1): 42-44.

Relative Articles

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(1) / Tables(1)

Get Citation

PDF

XML

Article views (3776) PDF downloads(52)

A Method for Obtaining Shaliness Using Wiener Filtering Based on Logging Data Natural Gamma Ray

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Proportional views

Export File

Citation

Format

Content