基于压裂效果评价的页岩气井井距优化研究

doi:10.11885/j.issn.1674-5086.2017.10.24.03

西南石油大学学报(自然科学版) ›› 2018, Vol. 40 ›› Issue (5): 131-139.DOI: 10.11885/j.issn.1674-5086.2017.10.24.03

基于压裂效果评价的页岩气井井距优化研究

王妍妍^1,2, 王卫红^1,2, 胡小虎^1,2, 刘华^1,2, 郭艳东^1,2

1. 中国石化石油勘探开发研究院, 北京海淀 100083;
2. “页岩油气富集机理与有效开发”国家重点实验室, 北京海淀 100083

收稿日期:2017-10-24 出版日期:2018-10-01 发布日期:2018-10-01
通讯作者: 王妍妍,E-mail:wangyy.syky@sinopec.com
作者简介:王妍妍,1990年生,女,汉族,山东聊城人,工程师,硕士,主要从事页岩气试井及动态分析方面的研究工作。E-mail:wangyy.syky@sinopec.com;王卫红,1965年生,男,汉族,新疆库尔勒人,教授级高级工程师,博士,主要从事渗流机理和气藏工程方面的研究工作。E-mail:wangwh.syky@sinopec.com;胡小虎,1974年生,男,汉族,安徽池州人,高级工程师,博士,主要从事非常规气藏试井分析及产能评价方面的研究工作。E-mail:hu_xiaohu@yahoo.com.cn;刘华,1972年生,男,汉族,四川德阳人,高级工程师,博士,主要从事渗流机理和气藏工程方面的研究工作。E-mail:liuhua2008@sinopec.com;郭艳东,1984年生,男,汉族,河北唐山人,硕士,主要从事页岩气藏试井分析及产能评价方面的研究工作。E-mail:guoyd.syky@sinopec.com
基金资助:
国家科技重大专项（2016ZX05061-003）

Study on the Optimization of Shale Gas Well Spacing Based on Assessment of the Fracturing Performance

WANG Yanyan^1,2, WANG Weihong^1,2, HU Xiaohu^1,2, LIU Hua^1,2, GUO Yandong^1,2

1. Research Institute of Petroleum Exploration and Development, SINOPEC, Haidian, Beijing 100083, China;
2. State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Haidian, Beijing 100083, China

Received:2017-10-24 Online:2018-10-01 Published:2018-10-01

摘要/Abstract

摘要： 针对页岩气藏最优井距很大程度上受限于压裂效果后评估的问题，开展了多段压裂水平井改造参数解释研究，并在此基础上开展井距优化。通过建立的渗流数学模型明确页岩气井生产时地层中存在的流态，形成基于线性流识别和特征线诊断技术的压裂参数解释方法，并对参数解释的不确定性进行了分析论证。之后通过定义百米地层累产气进行均匀压裂情况下井距优化。研究表明，地层进入边界控制流后能准确确定裂缝半长，且不影响气井的产能预测；井距的决定性因素是裂缝半长，二者之间的比例关系受SRV内外区相对物性和裂缝导流能力的影响，据此可指导现场井距优化及开发技术政策制定。

关键词: 页岩气, 压裂水平井, SRV, 改造参数解释, 井距优化

Abstract: Determination of the optimum shale gas well spacing is to a large extent dependent on the assessment of fracturing performance. To tackle this problem, we explored the parameters associated with the reconstruction of horizontal wells used for multi-stage fracturing. Based on this exploration, we further optimized the shale gas well spacing. By establishing a mathematical model of seepage flow, we determined the flow regime existing in the formation of a shale gas well and furthermore developed a method to rationalize the fracturing parameters based on linear flow identification and the feature line diagnostic technique. The uncertainty associated with the parameter rationalization is also analyzed and discussed in this study. Finally, the optimum well spacing under uniform fracturing condition was determined by defining the total gas production over a 100-m stratum. The results demonstrate that the half length of the crack can be accurately determined without affecting the prediction of the production capacity of the gas well once the formation is under boundary control flow. The key factor in determining the well spacing is the half length of the crack. The relationship between these two parameters is affected by the relative physical properties and flow conductivity of the fracture inside and outside the SRV. These findings can provide guidance for performing well spacing optimization and policy-making associated with the extraction techniques.

Key words: shale gas, fracturing horizontal well, SRV, rationalization of reconstruction parameters, well spacing optimization

中图分类号:

TE37

王妍妍, 王卫红, 胡小虎, 刘华, 郭艳东. 基于压裂效果评价的页岩气井井距优化研究[J]. 西南石油大学学报(自然科学版), 2018, 40(5): 131-139.

WANG Yanyan, WANG Weihong, HU Xiaohu, LIU Hua, GUO Yandong. Study on the Optimization of Shale Gas Well Spacing Based on Assessment of the Fracturing Performance[J]. 西南石油大学学报(自然科学版), 2018, 40(5): 131-139.

0
/ / 推荐

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://journal15.magtechjournal.com/Jwk_xnzk/CN/10.11885/j.issn.1674-5086.2017.10.24.03

http://journal15.magtechjournal.com/Jwk_xnzk/CN/Y2018/V40/I5/131

参考文献

[1] EDWARDS K L, WEISSERT S, JACKSON J B, et al. Marcellus shale hydraulic fracturing and optimal well spacing to maximize recovery and control costs[C]. SPE Hydraulic Fracturing Technology Conference, The Woodlands:2011. doi:10.2118/140463-MS
[2] VIRUES C, LYPKIE K, PYECROFT J, et al. Going from conceptual to analytical drilling/completions/reservoir guided model of a cased uncemented multi-fractured horizontal well in the canadian horn river basin[C]. SPE/CSUR Unconventional Resources Conference, Calgary:2015. doi:10.2118/175932-MS
[3] 刘尧文,廖如刚,张远,等. 涪陵页岩气田井地联合微地震监测气藏实例及认识[J]. 天然气工业, 2016, 36(10):56-62. doi:10.3787/j.issn.1000-0976.2016.10.-007 LIU Yaowen, LIAO Rugang, ZHANG Yuan, et al. Application of surface-downhole combined microseismic monitoring technology in the Fuling Shale Gas Field and its enlightenment[J]. Natural Gas Industry, 2016, 36(10):56-62. doi:10.3787/j.issn.1000-0976.2016.10.007
[4] GILDIN E, VALKO P P, FUENTES C G. Analyzing production data from hydraulically fractured wells:The concept of induced permeability field[J]. SPE Reservoir Evaluation & Engineering, 2013, 17(2):220-232. doi:10.-2118/163843-PA
[5] WARPINSKI N R, MAYERHOFER M, AGARWAL K, et al. Hydraulic-fracture geomechanics and microseismicsource mechanisms[J]. SPE 158935-PA, 2013. doi:10.-2118/158935-PA
[6] PORTIS D H, BELLO H, MURRAY M, et al. Searching for the optimal well spacing in the Eagle Ford Shale:Apractical tool-kit[C]. Unconventional Resources Technology Conference, Denver:2013. doi:10.1190/-urtec2013-027
[7] LIANG Baosheng, DU Meilin, GOLOWAY C, et al. Subsurface well spacing optimization in the Permian Basin[C]. SPE/AAPG/SEG Unconventional Resources Technology Conference, Austin:2017. doi:10.15530/URTEC-2017-2671346
[8] YAICH E, SOUZA O C D D, FOSTER R A, et al. A methodology to quantify the impact of well interferenceoptimize well spacing in the Marcellus Shale[C]. SPE/CSUR Unconventional Resources Conference, Calgary:2014. doi:10.2118/171578-MS
[9] 刘旭礼. 页岩气体积压裂压后试井分析与评价[J]. 天然气工业, 2016, 36(8):66-72. doi:10.3787/j.issn.1000-0976.2016.08.009 LIU Xuli. Well test analysis and evaluation after shalegas volume fracturing stimulation[J]. Natural Gas Industry, 2016, 36(8):66-72. doi:10.3787/j.issn.1000-0976.-2016.08.009
[10] 贾成业,贾爱林,何东博,等. 页岩气水平井产量影响因素分析[J]. 天然气工业, 2017, 37(4):80-88. doi:10.3787/j.issn.1000-0976.2017.04.010 JIA Chengye, JIA Ailin, HE Dongbo, et al. Key factors influencing shale gas horizontal well production[J]. Natural Gas Industry, 2017, 37(4):80-88. doi:10.3787/j.issn.-1000-0976.2017.04.010
[11] 于荣泽,张晓伟,卞亚南,等. 页岩气藏流动机理与产能影响因素分析[J]. 天然气工业, 2012, 32(9):10-15. doi:10.3787/j.issn.1000-0976.2012.09.003 YU Rongze, ZHANG Xiaowei, BIAN Yanan, et al. Flow mechanism of shale gas reservoirs and influential factors of their productivity[J]. Natural Gas Industry, 2012, 32(9):10-15. doi:10.3787/j.issn.1000-0976.2012.09.003
[12] BELLO R O, WATTENBARGER R A. Rate transient analysis in naturally fractured shale gas reservoirs[C]. CIPC/SPE Gas Technology Symposium 2008 Joint Conference, Calgary:2008. doi:10.2118/114591-MS
[13] BELLO R O, WATTENBARGER R A. Modeling and analysis of shale gas production with a skin effect[J]. Journal of Canadian Petroleum Technology, 2010, 49(12):37-48. doi:10.2118/143229-PA
[14] BROWN M, OZKAN E, RAGAHAVAN R, et al. Practical solutions for pressure-transient responses of fractured horizontal wells in unconventional shale reservoirs[J]. SPE Reservoir Evaluation & Engineering, 2011, 14(6):663-676. doi:10.2118/125043-PA
[15] STALGOROVA K, MATTAR L. Analytical model for unconventional multifractured composite systems[J]. SPE Reservoir Evaluation & Engineering, 2013, 16(3):246-256. doi:10.2118/162516-PA
[16] 樊冬艳,姚军,孙海,等. 页岩气藏分段压裂水平井不稳定渗流模型[J]. 中国石油大学学报(自然科学版), 2014, 38(5):116-123. doi:10.3969/j.issn.1673-5005.-2014.05.016 FAN Dongyan, YAO Jun, SUN Hai. et al. Transient flow model of stage-fractured horizontal wells in shale gas reservoirs[J]. Journal of China University of Petroleum, 2014, 38(5):116-123. doi:10.3969/j.issn.1673-5005.2014.05.016
[17] VALKÓ P P, ABATE J. Comparison of sequence accelerators for the gaver method of numerical laplace transform inversion[J]. Computers & Mathematics with Applications, 2004, 48(3-4):629-636. doi:10.1016/j.camwa.-2002.10.017
[18] 郭小哲,周长沙. 页岩气储层压裂水平井三线性渗流模型研究[J]. 西南石油大学学报(自然科学版), 2016, 38(2):86-94. doi:10.11885/j.issn.1674-5086.2013.10.-16.04 GUO Xiaozhe, ZHOU Changsha. The trilinear seepage model for fractured horizontal well in shale gas reservoir[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2016, 38(2):86-94. doi:10.-11885/j.issn.1674-5086.2013.10.16.04
[19] 李凡华,刘慈群. 有界分形油藏的压力动态分析[J]. 西南石油学院学报, 1997, 19(2):47-50. doi:10.3863/-j.issn.1000-2634.1997.02.10 LI Fanhua, LIU Ciqun. Pressure transient analysis of finite fractal reservoirs[J]. Journal of Southwest Petroleum Institute, 1997, 19(2):47-50. doi:10.3863/j.issn.1000-2634.-1997.02.10
[20] BROWN M. Analytical trilinear pressure transient model for multiply fractured horizontal wells in tight shale reservoirs[D]. Colorado:Colorado School of Mines, 2009.
[21] EL-BANBI A H, WATTENBARGER R A. Analysis of linear flow in gas well production[C]. SPE Gas Technology Symposium, Calgary:1998. doi:10.2118/39972-MS
[22] 孙贺东. 油气井现代产量递减分析方法及应用[M]. 北京:石油工业出版社, 2013:66-74. SUN Hedong. Advanced production decline analysis and application[M]. Beijing:Petroleum Industry Press, 2013:66-74.
[23] MAXWELL S S, WALTMAN C, WARPINSKI N R, et al. Imaging seismic deformation induced by hydraulic fracture complexity[J]. SPE Reservoir Evaluation & Engineering, 2009, 12(12):48-52. doi:10.2118/102801-PA
[24] MEDEIROS F, OZKAN E, KAZEMI H. Productivity and drainage area of fractured horizontal wells in tight gas reservoirs[J]. SPE Reservoir Evaluation & Engineering, 2013, 11(5):902-911. doi:10.2118/108110-MS
[25] SAFARI R, LEWIS S, Ma X, et al. Infill-well fracturing optimization in tightly spaced horizontal wells[J]. SPE 178513-PA, 2016. doi:10.2118/178513-PA

基于压裂效果评价的页岩气井井距优化研究

Study on the Optimization of Shale Gas Well Spacing Based on Assessment of the Fracturing Performance

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	乐宏, 杨兆中, 范宇. 宁209井区裂缝控藏体积压裂技术研究与应用[J]. 西南石油大学学报(自然科学版), 2020, 42(5): 86-98.
[2]	张博宁, 张芮菡, 吴婷婷, 鲁友常. 致密气藏多级压裂水平井生产动态机理分析[J]. 西南石油大学学报(自然科学版), 2020, 42(5): 107-117.
[3]	梁洪彬, 张烈辉, 陈满, 赵玉龙, 向祖平. 快速评价页岩含气量的新方法[J]. 西南石油大学学报(自然科学版), 2020, 42(2): 110-117.
[4]	范宇, 钟成旭, 牟乃渠, 金鑫, 吴鹏程. 一种生物合成基钻井液在长宁气田的应用[J]. 西南石油大学学报(自然科学版), 2020, 42(1): 133-139.
[5]	张烈辉, 崔乾晨, 谢军, 郑健, 李成勇. 页岩气藏压裂水平井线性耦合渗流模型研究[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 1-12.
[6]	郭肖, 杨开睿, 杨宇睿, 贾昊卫. 孔隙网络模拟渗流速度对页岩气开采的影响[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 19-27.
[7]	程小伟, 张高寅, 马志超, 李斌, 辜涛. 页岩气水平井油井水泥的原位增韧技术研究[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 68-74.
[8]	杨兆中, 李扬, 李小刚, 李成勇. 页岩气水平井重复压裂关键技术进展及启示[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 75-86.
[9]	李勇明, 骆昂, 吴磊, 伊向艺. 考虑应力敏感和水力裂缝方位角的页岩产能模型[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 117-123.
[10]	赵玉龙, 梁洪彬, 井翠, 商绍芬, 李成勇. 页岩气井EUR快速评价新方法[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 124-131.
[11]	胡德高, 郭肖, 郑爱维, 舒志国, 张柏桥. 页岩气藏压裂井产能评价及分析[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 132-138.
[12]	方全堂, 李政澜, 段永刚, 魏明强, 张羽翼. 考虑次生裂缝的页岩气藏有限导流缝网模型[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 139-145.
[13]	曾德智, 喻智明, 何奇垚, 刘乔平, 施太和. 页岩气井环空带压安全风险定量评价方法研究[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 146-154.
[14]	张智, 丁剑, 赵苑瑾, 邓虎, 卢齐. 页岩气井环空带压临界控制值计算方法[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 155-164.
[15]	付建红, 苏昱, 姜伟, 钟成旭, 李郑涛. 深层页岩气水平井井筒瞬态温度场研究与应用[J]. 西南石油大学学报(自然科学版), 2019, 41(6): 165-173.