A New Method for Quick EUR Evaluation of Shale Gas Wells

doi:10.11885/j.issn.1674-5086.2019.09.16.09

Abstract

Abstract: Managed pressure drilling (MPD) is usually applied to shale gas, which can reduce reservoir stress sensitivity, improve production and increase the estimated ultimate recovery (EUR) of gas wells. However, the frequent change of working system leads to the fluctuation of production data, and brings new challenges to accurately EUR prediction. Therefore, based on the analysis of data processing methods, the method of noise reduction for data fluctuation is firstly completed, and the data can effectively converge in the double logarithmic coordinate after using pressure normalization production and material balance time. Then, the EUR model of shale gas well is established based on the data characteristics after noise reduction. Finally, a new evaluation method of EUR for shale gas wells is proposed. Compared with the results of the new method and classical method based on the field production data of the shale gas well, the new method is proved reliable. It is easier to operate and calculate than the classical method, which is difficult to fit due to multiple parameters. Therefore, this method can be applied to quick EUR evaluation of shale gas wells.

Key words: shale gas, EUR, restrict rate, production decline model, data processing

CLC Number:

TE328

ZHAO Yulong, LIANG Hongbin, JING Cui, SHANG Shaofen, LI Chengyong. A New Method for Quick EUR Evaluation of Shale Gas Wells[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 124-131.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2019.09.16.09

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2019/V41/I6/124

References

[1] 张德良,吴建发,张鉴,等. 北美页岩气规整化产量递减分析方法应用——以长宁-威远示范区为例[J]. 科学技术与工程, 2018, 18(34):51-56. doi:10.3969/j.issn.1671-1815.2018.34.007 ZHANG Deliang, WU Jianfa, ZHANG Jian, et al. Application of the normalized production decline analysis method for shale gas of North America:Taking Changning-Weiyuan demonstration area as an example[J]. Science Technology and Engineering, 2018, 18(34):51-56. doi:10.3969/j.issn.1671-1815.2018.34.007
[2] PANG Wei, DU Juan, ZHANG Tongyi. Production data analysis of shale gas wells with abrupt gas rate or pressure changes[C]. SPE 195134-MS, 2019. doi:10.2118/195134-MS
[3] WANG Ke, LI Haitao, WANG Junchao, et al. Predicting production and estimated ultimate recoveries for shale gas wells:A new methodology approach[J]. Applied Energy,2017, 206:1416-1431. doi:10.1016/j.apenergy.2017.09.-11
[4] 宋海敬,苏云河,熊小林,等. 页岩气井EUR评价流程及影响因素分析[J]. 天然气地球科学, 2019, 30(7):1-7. SONG Haijing, SU Yunhe, XIONG Xiaolin, et al. EUR evaluation work flow and influence factors for shale gas well[J]. Natural Gas Geoscience, 2019, 30(7):1-7.
[5] 白玉湖,陈桂华,徐兵祥,等. 页岩油气产量递减典型曲线预测推荐做法[J]. 非常规油气, 2017, 21(1):49-53. doi:10.3969/j.issn.2095-8471.2017.03.008 BAI Yuhu, CHEN Guihua, XU Bingxiang, et al. Stretched exponential decline model for shale gas well[J]. FaultBlock Oil & Gas Field, 2017, 21(1):49-53. doi:10.3969/j.issn.2095-8471.2017.03.008
[6] CLARKSON C R, NOBAKHT M, KAVIANI D, et al. Production analysis of tight gas and shale gas reservoirs using the dynamic-slippage concept[C]. SPE 144317-MS, 2011. doi:10.2118/144317-MS
[7] LIANG P, RAHMANIAN M, MATTAR L. Superpositionrate as an alternative to superposition-time[C]. SPE 167124-MS, 2013. doi:10.2118/167124-MS
[8] ANIEMENA C, VERA F. RTA assisted production forecasting in shale reservoir development[C]. Houston:SPE/AAPG/SEG Unconventional Resources Technology Conference, 2018. doi:10.15530/URTEC-2018-2870785
[9] ZHANG Liehui, GAO Jie, HU Shuyong, et al. Five-region flow model for MFHWs in dual porous shale gas reservoirs[J]. Journal of Natural Gas Science and Engineering, 2016, 33:1316-1323. doi:10.1016/j.jngse.2016.05.063
[10] 吴永辉,程林松,黄世军,等. 考虑页岩气赋存及非线性流动机理的产能预测半解析方法[J]. 中国科学:技术科学, 2018, 48(6):691-700. WU Yonghui, CHENG Linsong, HUANG Shijun, et al. A semi-analytical method of production prediction for shale gas wells considering multi-nonlinearity of flow mechanisms[J]. Scientia Sinica Technologica, 2018, 48(6):691-700.
[11] WU Minglu, DING Mingcai, YAO Jun, et al. Productionperformance analysis of composite shale-gas reservoirs by the boundary-element method[J]. SPE Reservoir Evaluation & Engineering, 2019, 22:238-252. doi:10.2118/191362-PA
[12] ZHANG Liehui, SHAN Baochao, ZHAO Yulong, et al. Gas transport model in organic shale nanopores considering langmuir slip conditions and diffusion:Pore confinement, real gas, and geomechanical effects[J]. Energies, 2018, 11:223. doi:10.3390/en11010223
[13] 梁洪彬. CN-WY页岩气藏产能预测模型研究及应用[D]. 重庆:重庆科技学院, 2018:45-50. LIANG Hongbin. Mathematical model for productivity prediction in CN-WY shale gas reservoir[D]. Chongqing:Chongqing University of Science and Technology, 2018:45-50.
[14] CHAI Di, FAN Zhaoqi, LI Xiaoli. A new unified gastransport model for gas flow in nanoscale porous media[C]. SPE 194208-PA, 2019. doi:10.2118/194208-PA
[15] 梅海燕,何浪,张茂林,等. 考虑多因素的页岩气藏物质平衡方程[J]. 新疆石油地质, 2018, 39(4):456-461. doi:10.7657/XJPG20180411 MEI Haiyan, HE Lang, ZHANG Maolin, et al. A multifactorial material balance equation for shale gas reservoirs[J]. Xinjiang Petroleum Geology, 2018, 39(4):456-461. doi:10.7657/XJPG20180411
[16] 郭小哲,李景,张欣. 页岩气藏压裂水平井物质平衡模型的建立[J]. 西南石油大学学报(自然科学版), 2017, 39(2):132-138. doi:10.11885/j.issn.1674-5086.2015.-08.05.02 GUO Xiaozhe, LI Jing, ZHANG Xin. Study on the establishment of material balance model for fractured horizontal well in shale gas reservoir[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2017, 39(2):132-138. doi:10.11885/j.issn.1674-5086.2015.08.-05.02
[17] 魏明强,段永刚,方全堂,等. 基于物质平衡修正的页岩气藏压裂水平井产量递减分析方法[J]. 石油学报, 2016, 37(4):508-515. doi:10.7623/syxb201604010 WEI Mingqiang, DUAN Yonggang, FANG Quantang, et al. Production decline analysis method of fractured horizontal well in shale gas reservoirs based on modifying material balance[J]. Acta Petrolei Sinica, 2016, 37(4):508-515. doi:10.7623/syxb201604010
[18] TAN Lei, ZUO Lihua, WANG Binbin. Methods of decline curve analysis for shale gas reservoirs[J]. Energies, 2018, 11(3):1-18. doi:10.3390/en11030552
[19] OMAR M, MAZHER I, CHESTER P, et al. EUR prediction for unconventional reservoirs:State of the art and field case[C]. SPE 191160-MS, 2018. doi:10.2118/191160-MS
[20] 于荣泽,姜巍,张晓伟,等. 页岩气藏经验产量递减分析方法研究现状[J]. 中国石油勘探, 2018, 23(1):109-116. doi:10.3969/j.issn.1672-7703.2018.01.012 YU Rongze, JIANG Wei, ZHANG Xiaowei, et al. A review of empirical production decline analysis methods for shale gas reservoir[J]. China Petroleum Exploration, 2018,23(1):109-116. doi:10.3969/j.issn.1672-7703.2018.01.-012
[21] FANCHI J R, COOKSEY M J, LEHMAN K M, et al. Probabilistic decline curve analysis of Barnett, Fayetteville, Haynesville, and Woodford gas shales[J]. Journal of Petroleum Science and Engineering, 2013, 109:308-311. doi:10.1016/j.petrol.2013.08.002
[22] 徐兵祥,白玉湖,陈桂华,等. 页岩油气不确定性产量预测方法及应用[J]. 兰州大学学报(自然科学版), 2017,53(6):757-763. doi:10.13885/j.issn.0455-2059.-2017.06.007 XU Bingxiang, BAI Yuhu, CHEN Guihua, et al. Uncertainty method for production forecasting and application in shale oil and gas reservoirs[J]. Journal of Lanzhou University (Natural Sciences), 2017, 53(6):757-763. doi:10.13885/j.issn.0455-2059.2017.06.007
[23] ZHANG Liehui, SHAN Baochao, ZHAO Yulong, et al. Review of micro seepage mechanisms in shale gas reservoirs[J]. International Journal of Heat and Mass Transfer, 2019, 139:144-179. doi:10.1016/j.ijheatmasstransfer.-2019.04.141
[24] VALKO P P, LEE W J. A better way to forecast production from unconventional gas wells[C]. SPE 134231-MS, 2010. doi:10.2118/134231-MS
[25] DUONG A N. Rate-decline analysis for fracture-dominated shale reservoirs[C]. SPE 137748-PA, 2011. doi:10.2118/137748-PA
[26] ZHANG He, ERIC N, DAN O, et al. Effective applications of extended exponential decline curve analysis to both conventional and unconventional reservoirs[C]. SPE 181536-MS, 2016. doi:10.2118/181536-MS
[27] 王怒涛,陈仲良,祝明谦,等. 页岩气压裂水平井产量递减组合模型分析[J]. 大庆石油地质与开发, 2018, 37(5):138-143. doi:10.19597/J.ISSN.1000-3754.201707046 WANG Nutao, CHEN Zhongliang, ZHU Mingqian, et al. Analysis of the combined model for the production decline of the shale-gas fractured horizontal well[J]. Petroleum Geology & Oilfield Development in Daqing, 2018, 37(5):138-143. doi:10.19597/J.ISSN.1000-3754.201707046
[28] 徐兵祥. 变产-变压情况下的页岩油气生产数据分析方法[J]. 天然气工业, 2017, 37(11):70-76. doi:10.3787/j.issn.1000-0976.2017.11.009 XU Bingxiang. Production data analysis method of shale oil & gas wells with variable rates/pressures[J]. Natural Gas Industry, 2017, 37(11):70-76. doi:10.3787/j.issn.-1000-0976.2017.11.009