伊通盆地鹿乡断陷低渗储层敏感性机理分析及分布预测

单华生; 周锋德

doi:10.3799/dqkx.2012.080

Volume 37 Issue 4

Jul. 2012

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Article Navigation > Earth Science > 2012 > 37(4): 719-727

SHAN Hua-sheng, ZHOU Feng-de, 2012. Analysis of the Sensitivity Mechanism and Distribution in Low Permeability Reservoir in Luxiang Depression, Yitong Basin. Earth Science, 37(4): 719-727. doi: 10.3799/dqkx.2012.080

Citation:

SHAN Hua-sheng, ZHOU Feng-de, 2012. Analysis of the Sensitivity Mechanism and Distribution in Low Permeability Reservoir in Luxiang Depression, Yitong Basin. Earth Science, 37(4): 719-727. doi: 10.3799/dqkx.2012.080

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Analysis of the Sensitivity Mechanism and Distribution in Low Permeability Reservoir in Luxiang Depression, Yitong Basin

doi: 10.3799/dqkx.2012.080

SHAN Hua-sheng^{1, 2
,},
ZHOU Feng-de¹

1.
Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China
2.
State Key Laboratory of Biogeology and Environmental Geology, Wuhan 430074, China

Received Date: 2012-03-07
Available Online: 2021-10-13
Publish Date: 2012-07-15

Abstract

Abstract

In order to determine the affecting factors and to build the predicating model of sensitivity in Luxiang depression, this paper firstly analyzes the sensitivity results and some parameters, including porosity, permeability, contents of different kinds of clay minerals tested in laboratory. Then it analyzes the relationship between sensitivity and porosity, permeability, contents of different kinds of clay minerals, throat type, and the distribution of clay minerals, integrated with the lab methods, such as core casting slices, microscope scanning, etc. Next, parameter prediction models are built by relating with sedimentary facies and depth. The porosity, permeability, contents of different clays, contents of quartz and feldspar were predicted based on these models which were used for sensitivity prediction. At last, sensitivity predicating models are built for speed sensitivity, water sensitivity, acid sensitivity and alkali sensitivity using Elman neural network. Results show that the Elman is efficient in sensitivity prediction; there are strong speed sensitivity, acid sensitivity, alkali sensitivity and salt sensitivity in Wuxing structural zone; whereas there is strong speed sensitivity in the center and northwest of Luxiang depression.
- low permeability reservoir,
- reservoir sensitivity,
- affecting factors,
- predicating model,
- sedimentoloy,
- hydrocarbon

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References(35)

References

Chen, Z., Zhang, S.N., Shen, M.D., 1996. Potential damages of clay minerals in oil-field protection. Journal of Chengdu Institute of Technology, 23(2): 80-87 (in Chinese with English abstract). http://www.researchgate.net/publication/294762544_Potential_damages_of_clay_minerals_in_oil-field_protection

Civan, F., 2007. Formation damage mechanisms and their phenomenological modeling—an overview. SPE European Formation Damage Conference, Scheveningen, The Netherlands, 1-12.

Elman, J.L., 1990. Finding structure in time. Cognitiv. Sci. , 14(2): 179-211. doi: 10.1016/0364-0213(90)90002-E

Huang, X.T., Fang, S., Xu, H.H., 2002. Reservoir sensibility research on Shuangyang Formation in Moliqing basin of Yitong graben. World Geology, 21(4): 372-352 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-SJDZ200204006.htm

Hassan, B., Reza, R.M., Nazhat, D., et al., 2011. Evaluation of damage mechanisms and skin factor in tight gas reservoirs. SPE European Formation Damage Conference, Noordwijk, The Netherlands, 1-13.

Jiang, T., Xie, X.N., 2005. Effects of high temperature and overpressure on reservoir quality in the Yinggehai basin, South China Sea. Earth Science—Journal of China University of Geosciences, 30(2): 215-220 (in Chinese with English abstract). http://www.researchgate.net/publication/290056087_Effects_of_high_temperature_and_overpressure_on_reservoir_quality_in_the_Yinggehai_basin_South_China_Sea

Kang, Y.L., Luo, P.Y., 2000. Influence of clay minerals on formation damage in sandstone reservoir: a review and prospect in it. Drilling Fluid & Completion Fluid, 17(5): 36-40 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZJYW200005009.htm

Li, Y.L., Yang, D.Q., Tian, N.X., et al., 2003. The sensitivity evaluation of low permeability reservoir of Jurassic in Yanqi basin. Mineral Petrol. , 23(1): 77-80 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-KWYS200301016.htm

Palmer, Ⅰ., Mansoori, J., 1998. How permeability depends on stress and pore pressure in coal beds: a new model. SPE Reservoir Evaluation & Engineering, 1(6): 539-544. http://www.researchgate.net/publication/250089489_How_Permeability_Depends_on_Stress_and_Pore_Pressure_in_Coalbeds_A_New_Model

Peng, C.Y., Yan, J.N., Li, Y.F., 1999. New ways of predicting reservoir damage of potential sensitivity. Drilling Fluid & Completion Fluid, 16(2): 1-7 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZJYW199902000.htm

Shi, J.Q., Durucan, S., 2004. Drawdown induced changes in permeability of coal beds: a new interpretation of the reservoir response to primary recovery. Transport in Porous Media, 56(1): 1-16. doi: 10.1023/B:TIPM.00000.18398.19928.5a

Sun, J.M., Li, Z.C., Guan, X., 1999. Reservoir sensitivity determination by well logging. ACTA, 20(4): 34-38 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-SYXB904.008.htm

Wang, J., Zhao, Y.C., Liu, K., et al., 2006. Superimposing controls of acidic and alkaline dissolutions on sandstone reservoir quality of the Paleozoic Xiashihezi and Shanxi Formations in Tabamiao area, Ordos basin. Earth Science—Journal of China University of Geosciences, 31(2): 221-228 (in Chinese with English abstract). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dqkx200602012

Wei, Z.Y., Yao, G.Q., He, S., et al., 2008. Diagenetic evolution and mode in the Chaluhe faulted depression reservoir, Yitong graben. Earth Science—Journal of China University of Geosciences, 33(2): 227-234 (in Chinese with English abstract). doi: 10.3799/dqkx.2008.030

Yin, X., 2005. Experimental research on sensitive it of sandstone reservoir in Daniudi Ga field in E'erduosi basin. Natural Gas Industry, 25(8): 31-34 (in Chinese with English abstract). http://www.trqgy.cn/EN/abstract/abstract10740.shtml

Zhang, G.L., Chen, S.Y., Yan, J.H., 2006. Characteristics of clay minerals and their effects on formation sensitivity in Sha-1 member in Zhengjia-Wangzhuang area. Acta Mineralogica Sinica, 26(1): 99-106 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-KWXB200601017.htm

Zhao, D.H., Li, B.M., Zhao, H.T., 2002. Evaluating Upper Palaeozoic sand-stone reservoir sensitivity by use of log data. Natural Gas Industry, 22(6): 42-44 (in Chinese with English abstract). http://www.researchgate.net/publication/291825778_Evaluating_upper_Palaeozoic_sandstone_reservoir_sensitivity_by_use_of_log_data

Zhao, X.Y., Luo, J.C., Yang, F., 2005. Application of clay mineral study results to hydrocarbon prospecting in Tarim basin. Xinjiang Petroleum Geology, 26(5): 570-576 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-XJSD200505030.htm

Zhou, F.D., Yao, G.Q., Chen, J.X., et al., 2007a. Analysis of affecting factors and predication of sensitivity for low permeability reservoir: a case study of Liangjia-xin'anpu district in Chaluhe depression. J. Mineral. Petrol. , 27(3): 101-105 (in Chinese with English abstract).

Zhou, F.D., Yang, G.Q., Wang, G.C., et al., 2007b. Elman neural networks applied in the low permeability reservoir sensitivity prediction. Geological Science and Technology Information, 26(6): 91-94 (in Chinese with English abstract). http://en.cnki.com.cn/Article_en/CJFDTOTAL-DZKQ200706017.htm

陈忠, 张哨楠, 沈明道, 1996. 粘土矿物在油田保护中的潜在危害. 成都理工学院学报, 23(2): 80-87. https://www.cnki.com.cn/Article/CJFDTOTAL-CDLG602.012.htm

黄湘通, 方石, 许海华, 2002. 伊通地堑莫里青盆地双阳组储层敏感性研究. 世界地质, 21(4): 347-352. doi: 10.3969/j.issn.1004-5589.2002.04.006

姜涛, 解习农, 2005. 莺歌海盆地高温超压环境下储层物性影响因素. 地球科学——中国地质大学学报, 30(2): 215-220. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX20050200E.htm

康毅力, 罗平亚, 2000. 粘土矿物对砂岩储层损害的影响——回顾与展望. 钻井液与完井液, 17(5): 36-40. doi: 10.3969/j.issn.1001-5620.2000.05.009

李永林, 杨道庆, 田纳新, 等, 2003. 焉耆盆地侏罗系低渗透储层敏感性评价. 矿物岩石, 23(1): 77-80. doi: 10.3969/j.issn.1001-6872.2003.01.016

彭春耀, 鄢捷年, 李玉凤, 1999. 预测储层潜在敏感性损害的新方法. 钻井液与完井液, 16(2): 1-7. https://www.cnki.com.cn/Article/CJFDTOTAL-ZJYW199902000.htm

孙建孟, 李召成, 关雎, 1999. 用测井确定储层敏感性. 石油学报, 20(4): 34-38. https://www.cnki.com.cn/Article/CJFDTOTAL-SYXB904.008.htm

王京, 赵彦超, 刘琨, 等, 2006. 鄂尔多斯盆地塔巴庙地区上古生界砂岩储层"酸性+碱性"叠加溶蚀作用与储层质量主控因素. 地球科学——中国地质大学学报, 31(2): 221-228. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200602011.htm

魏忠元, 姚光庆, 何生, 等, 2008. 伊通地堑岔路河断陷储层成岩演化史与成岩模式. 地球科学——中国地质大学学报, 33(2): 227-234. https://www.cnki.com.cn/Article/CJFDTOTAL-DQKX200802011.htm

尹昕, 2005. 大牛地气田砂岩储层敏感性实验研究. 天然气工业, 25(8): 31-34. doi: 10.3321/j.issn:1000-0976.2005.08.010

张关龙, 陈世悦, 鄢继华, 2006. 郑家－王庄地区沙一段粘土矿物特征及对储层敏感性影响. 矿物学报, 26(1): 99-106. doi: 10.3321/j.issn:1000-4734.2006.01.018

赵大华, 李保民, 赵会涛, 2002. 用测井资料评价上古生界砂岩储层敏感性. 天然气工业, 22(6): 42-44. doi: 10.3321/j.issn:1000-0976.2002.06.011

赵杏媛, 罗俊成, 杨帆, 2005. 粘土矿物研究成果在塔里木盆地油气勘探中的应用. 新疆石油地质, 26(5): 570-576. doi: 10.3969/j.issn.1001-3873.2005.05.026

周锋德, 姚光庆, 陈金霞, 等, 2007a. 岔路河断陷梁家-新安堡地区低渗储层敏感性影响因素分析及预测. 矿物岩石, 27(3): 101-105. https://www.cnki.com.cn/Article/CJFDTOTAL-KWYS200703016.htm

周锋德, 姚光庆, 王国昌, 等, 2007b. Elman神经网络在低渗储层敏感性预测中的应用. 地质科技情报, 26(6): 91-94. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ200706017.htm

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Analysis of the Sensitivity Mechanism and Distribution in Low Permeability Reservoir in Luxiang Depression, Yitong Basin

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