Improvement and Solution Binomial Production Equation of High Pressure and Low Permeability Gas Wells

doi:10.11885/j.issn.1674-5086.2019.03.21.02

Abstract

Abstract: The gas reservoir pressure in Ledong X Area of the western South China Sea is up to 100 MPa and permeability is as low as 0.1 mD. The binomial productivity equation slope obtained from the productivity test regression of such high pressure and low permeability gas wells is often negative, and the real productivity cannot be obtained. The production binomial's slope of high pressure and low permeability is always negative which results in failure to get real capacity. The gas well testing process is analyzed and the material balance model within the effective supply range is established and solved. It is considered that except the first level system, the formation pressure changes with the output and time, and the lower the permeability of the formation, the greater the pressure change. The traditional binomial method does not consider the formation pressure change is the main reason for the negative slope of regression. Taking into account the formation pressure drop in the effective supply range during the test, the new binomial equation of deliverability and the expression of unobstructed flow are obtained by regression. It is considered that the unobstructed flow in the gas well is related to the original formation pressure, test conditions and formation physical properties. The correction of the binomial production equation of six high pressure and low permeability wells, such as LDX-5-A, has successfully solved the production capacity anomalies in this type of wells, provided a basis for rational development of gas fields in the next step and a solution to the abnormal capacity correction of such high pressure and low permeability gas wells.

Key words: high pressure, low permeability, gas well, binomial production equation, material balance

CLC Number:

TE348

MA Shuai, ZHANG Fengbo, WANG Wenjuan, ZHA Yuqiang, WANG Yanli. Improvement and Solution Binomial Production Equation of High Pressure and Low Permeability Gas Wells[J]. 西南石油大学学报(自然科学版), 2020, 42(4): 121-126.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2019.03.21.02

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2020/V42/I4/121

References

[1] 刘能强. 实用现代试井解释方法[M]. 5版. 北京:石油工业出版社, 2008. LIU Nengqiang. Practical modern well test interpretation method[M]. 5th Ed. Beijing:Petroleum Industry Press, 2008.
[2] 陈元千. 油气藏工程实践[M]. 北京:石油工业出版社, 2005. CHEN Yuanqian. Engineering practice of oil and gas reservoirs[M]. Beijing:Petroleum Industry Press, 2005.
[3] 许建红,程林松,钱俪丹,等. 低渗透油藏启动压力梯度新算法及应用[J]. 西南石油大学学报, 2007, 29(4):64-66. doi:10.3863/j.issn.1674-5086.2007.04.015 XU Jianhong, CHENG Linsong, QIAN Lidan, et al. A new method and the application on calculating start-up pressure gradient in low permeable reservoirs[J]. Journal of Southwest Petroleum University, 2007, 29(4):64-66. doi:10.3863/j.issn.1674-5086.2007.04.015
[4] 吕成远,王建,孙志刚. 低渗透砂岩油藏渗流启动压力梯度实验研究[J]. 石油勘探与开发, 2002, 29(2):86-89. doi:10.3321/j.issn:1000-0747.2002.02.023 LÜ Chengyuan, WANG Jian, SUN Zhigang. An experimental study on starting pressure gradient of fluids flow in low permeability sandstone porous media[J]. Petroleum Exploration and Development, 2002, 29(2):86-89. doi:10.3321/j.issn:1000-0747.2002.02.023
[5] 于忠良,熊伟,高树生,等. 致密储层应力敏感性及其对油田开发的影响[J]. 石油学报, 2007, 28(4):95-98. doi:10.3321/j.issn:0253-2697.2007.04.019 YU Zhongliang, XIONG Wei, GAO Shusheng, et al. Stress sensitivity of tight reservoir and its influence on oilfield development[J]. Acta Petrolei Sinica, 2007, 28(4):95-98. doi:10.3321/j.issn:0253-2697.2007.04.019
[6] 熊伟,雷群,刘先贵,等. 低渗透油藏拟启动压力梯度[J]. 石油勘探与开发, 2009, 36(2):232-236. doi:10.3321/j.issn:1000-0747.2009.02.015 XIONG Wei, LEI Qun, LIU Xiangui, et al. Pseudo threshold pressure gradient to flow for low permeability reservoirs[J]. Petroleum Exploration and Development, 2009, 36(2):232-236. doi:10.3321/j.issn:1000-0747.2009.02.015
[7] 张浩,康毅力,陈一健,等. 致密砂岩油气储层岩石变形理论与应力敏感性[J]. 天然气地球科学, 2004, 15(5):482-486. doi:10.3969/j.issn.1672-1926.2004.05.008 ZHANG Hao, KANG Yili, CHEN Yijian, et al. Deformation theory and stress sensitivity of tight sand stones reservoirs[J]. Natural Gas Geoscience, 2004, 15(5):482-486. doi:10.3969/j.issn.1672-1926.2004.05.008
[8] 王宇航,程时清,符浩,等. 考虑应力敏感性的低渗透气藏气井产能分析[J]. 油气井测试, 2017, 26(1):6-9. doi:10.3969/j.issn.1004-4388.2017.01.002 WANG Yuhang, CHENG Shiqing, FU Hao, et al. Analysis on gas well productivity of low-permeability gas reservoir with stress-sensitivity[J]. Well Testing, 2017, 26(1):6-9. doi:10.3969/j.issn.1004-4388.2017.01.002
[9] 王洪建,张义堂,胡永乐. 伤害表皮变化时气井产能的校正[J]. 石油勘探与开发, 1998(3):62-65. WANG Hongjian, ZHANG Yitang, HU Yongle. A productivity correction for gas well with changing skin factor[J]. Petroleum Exploration and Development, 1998(3):62-65.
[10] 袁淋,李晓平,赵萍萍,等. 非均匀污染下水平气井二项式产能公式推导及应用[J]. 特种油气藏, 2013, 20(4):85-87. doi:10.3969/j.issn.1006-6535.2013.04.021 YUAN Lin, LI Xiaoping, ZHAO Pingping, et al. Derivation and application of binomial productivity formula for horizontal gas wells under uneven contamination[J]. Special Oil & Gas Reservoirs, 2013, 20(4):85-87. doi:10.3969/j.issn.1006-6535.2013.04.021
[11] 张睿,孙兵,秦凌嵩,等. 气井见水后产能评价研究进展[J]. 断块油气田, 2018, 25(1):62-65. doi:10.6056/dkyqt201801013 ZHANG Rui, SUN Bing, QIN Lingsong, et al. Advances in productivity evaluation of water producing gas wells[J].Fault-Block Oil & Gas Field, 2018, 25(1):62-65. doi:10.6056/dkyqt201801013
[12] 李祖友,杨筱璧,罗东明. 高压气井二项式产能方程[J]. 特种油气藏, 2008, 15(3):62-64. doi:10.3969/j.issn.1006-6535.2008.03.015 LI Zuyou, YANG Xiaobi, LUO Dongming. Binominal deliverability equation of high pressure gas well[J]. Special Oil & Gas Reservoirs, 2008, 15(3):62-64. doi:10.3969/j.issn.1006-6535.2008.03.015
[13] 李闽,薛国庆,罗碧华,等. 低渗透气藏拟稳态三项式产能方程及应用[J]. 新疆石油地质, 2009, 30(5):593-595. LI Min, XUE Guoqing, LUO Bihua, et al. Pseudo steadystate trinomial deliverability equation and application of low permeability gas reservoir[J]. Xinjiang Petroleum Geology, 2009, 30(5):593-595.
[14] 王永胜,梅海燕,张茂林,等. 低渗透水平气井产能分析三项式的推导和应用[J]. 天然气与石油, 2014, 32(6):53-57. doi:10.3969/j.issn.1006-5539.2014.06.013 WANG Yongsheng, MEI Haiyan, ZHANG Maolin, et al. Derivation and application of trinomial in low permeability horizontal gas well productivity analysis[J]. Natural Gas and Oil, 2014, 32(6):53-57. doi:10.3969/j.issn.1006-5539.2014.06.013
[15] 梁斌,张烈辉,张金庆,等. 一个新的考虑启动压力梯度的三项式产能方程[J]. 油气井测试, 2012, 21(5):3-6. doi:10.3969/j.issn.1004-4388.2012.05.003 LIANG Bin, ZHANG Liehui, ZHANG Jinqing, et al. A novel trinomial deliverability equation with threshold pressure gradient[J]. Well Testing, 2012, 21(5):3-6. doi:10.3969/j.issn.1004-4388.2012.05.003
[16] 孟琦,刘红兵,万鹤,等. 低渗透气藏气井产能预测新方法[J]. 非常规油气,2018,5(2):50-54. doi:10.3969/j.issn.2095-8471.2018.02.008 MENG Qi, LIU Hongbing, WAN He, et al. A new method for production of gas wells in low permeability reservoirs[J]. Unconventonal Oil & Gas, 2018, 5(2):50-54. doi:10.3969/j.issn.2095-8471.2018.02.008
[17] 石军太,李骞,张磊,等. 多层合采气井产能指示曲线异常的原因与校正方法[J]. 天然气工业, 2018, 38(3):50-59. doi:10.3787/j.issn.1000-0976.2018.03.006 SHI Juntai, LI Qian, ZHANG Lei, et al. An abnormality of productivity indicative curves for multi-layer gas wells:Reason analysis and a correction method[J]. Natural Gas Industry, 2018, 38(3):50-59. doi:10.3787/j.issn.1000-0976.2018.03.006
[18] 马时刚,沈文杰. 海上异常高压气藏产能计算研究——以锦州M气田为例[J]. 油气井测试, 2015, 24(4):32-34. doi:10.3969/j.issn.1004-4388.2015.04.009 MA Shigang, SHEN Wenjie. The productivity calculation of abnormal high pressure gas reservoirs:Taking Jinzhou M Gas Field as example[J]. Well Testing, 2015, 24(4):32-34. doi:10.3969/j.issn.1004-4388.2015.04.009
[19] 马时刚,李波,王世民,等. 一点法在锦州20-2凝析气田的应用与改进[J]. 天然气勘探与开发, 2008, 31(1):17-19. doi:10.3969/j.issn.1004-4388.2008.03.007 MA Shigang, LI Bo, WANG Shimin, et al. Application and improvement of one empirical equation on Jinzhou20-2 Condensate Field[J]. Well Testing, 2008, 31(1):17-19. doi:10.3969/j.issn.1004-4388.2008.03.007
[20] 黄炳光,冉新权,李晓平. 气藏工程分析方法[M]. 北京:石油工业出版社, 2004. HUANG Bingguang, RAN Xinquan, LI Xiaoping. Gas reservoir engineering analysis[M]. Beijing:Petroleum Industry Press, 2004.