Inversion and interpretation of production profile and fracture parameters of fractured horizontal wells in low-permeability gas reservoirs

doi:10.7623/syxb202107008

Acta Petrolei Sinica ›› 2021, Vol. 42 ›› Issue (7): 936-947.DOI: 10.7623/syxb202107008

Previous Articles Next Articles

Inversion and interpretation of production profile and fracture parameters of fractured horizontal wells in low-permeability gas reservoirs

Luo Hongwen¹, Li Haitao¹, Li Ying¹, Wang Feng², Xiang Yuxing¹, Jiang Beibei¹, Yu Hao¹

1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Sichuan Chengdu 610500, China;
2. Experimental Detection Research Institute, PetroChina Xinjiang Oilfield Company, Xinjiang Karamay 834000, China

Received:2020-06-03 Revised:2021-04-06 Online:2021-07-25 Published:2021-08-04

低渗透气藏压裂水平井产出剖面与裂缝参数反演解释

罗红文¹, 李海涛¹, 李颖¹, 汪凤², 向雨行¹, 蒋贝贝¹, 于皓¹

1. 西南石油大学油气藏地质及开发工程国家重点实验室四川成都 610500;
2. 中国石油新疆油田公司实验检测研究院新疆克拉玛依 834000

通讯作者: 李海涛,男,1965年6月生,1987年获西南石油学院学士学位,2004年获西南石油学院博士学位,现为西南石油大学教授、博士生导师,主要从事采油采气理论、水平井控水及完井优化研究工作。Email:lihaitao@swpu.edu.cn
作者简介:罗红文,男,1990年12月生,2014年获重庆科技学院学士学位,2020年获西南石油大学博士学位,现为西南石油大学讲师,主要从事油气藏温度动态模拟、水平井产出剖面解释解及压裂完井综合评价研究工作。Email:rojielhw@163.com
基金资助:
国家科技重大专项（2016ZX05021-005-009HZ）资助。

Abstract

Abstract: To solve the problems such as unclear gas production profile, unknown contributions of fractures, and difficulty in determining fracture parameters during the exploration of horizontal wells in low-permeability gas reservoirs, this paper establishes an inversion model for distributed temperature sensing (DTS) data based on the Simulated Annealing (SA) algorithm when using the coupled prediction model of temperature profile of fractured horizontal wells as the forward model, optimizes the inversion process, and finally obtains a set of quantitative interpretation methods for the production profile and fracture parameters of fractured horizontal wells based on DTS. Through simulation analysis of the influence of fracture half-length on temperature profile, it is found that the temperature profile of fractured horizontal wells is irregular-sawtooth shaped, and as the fracture half-length increases, the temperature profile of the wellbore increases as a whole, and the corresponding temperature drop of fracture is positively correlated with flow rate. The DTS data of a well have been inverted. Based on the accurate and effective diagnosis of artificial fractures, the value of error function after inversion reaches 5×10^-6, and the absolute value of temperature error at each fracture positions is less than 0.02 K. The error between the single well production obtained by inversion and the measured production rate at the wellhead is less than 5 m³/d, and the interpreted fracture flowrates of all fracturesare also in good agreement with the measured PLT values that verifies the reliability of the inversion interpretation model.

Key words: production profile interpretation, fracture parameter diagnosis, inversion model, simulated annealing algorithm, distribution temperature sensing, fractured horizontal well

摘要： 为解决低渗透气藏水平井投产后产气剖面不清、裂缝贡献未知、裂缝参数难以确定等问题，以耦合的压裂水平井温度剖面预测模型作为正演模型，基于Simulated Annealing（SA）算法建立了分布式温度测试（DTS）数据反演模型，并对反演流程进行了优化，最终形成了一套基于DTS的压裂水平井产出剖面与裂缝参数定量解释方法。通过模拟分析裂缝半长对温度剖面的影响发现，压裂水平井温度剖面呈不规则"锯齿状"，且随裂缝半长的增加，井筒温度剖面整体升高，各级裂缝对应温度降与裂缝流量呈正相关关系。对1口现场实例井的DTS数据进行了反演，基于准确的有效人工裂缝诊断，反演误差函数值达到了5×10^-6，各级裂缝位置处温度误差绝对值小于0.02 K，反演获得的单井产量与井口实测产量误差小于5 m³/d，解释出的各级裂缝流量与拖动式生产测井工具实测值也较为吻合，从而验证了反演解释模型的可靠性。

关键词: 产出剖面解释, 裂缝参数诊断, 反演模型, Simulated Annealing算法, DTS, 压裂水平井

CLC Number:

TE357

Luo Hongwen, Li Haitao, Li Ying, Wang Feng, Xiang Yuxing, Jiang Beibei, Yu Hao. Inversion and interpretation of production profile and fracture parameters of fractured horizontal wells in low-permeability gas reservoirs[J]. Acta Petrolei Sinica, 2021, 42(7): 936-947.

罗红文, 李海涛, 李颖, 汪凤, 向雨行, 蒋贝贝, 于皓. 低渗透气藏压裂水平井产出剖面与裂缝参数反演解释[J]. 石油学报, 2021, 42(7): 936-947.

References

[1] 银熙炉.低渗透气藏开发难点与技术对策[J].云南化工,2018,45(1):86.
YIN Xilu.Development difficulties and technical countermeasures of low permeability gas reservoir[J].Yunnan Chemical Technology,2018,45(1):86.
[2] 姜瑞忠,何吉祥,姜宇,等.页岩气藏压裂水平井Blasingame产量递减分析方法建立与应用[J].石油学报,2019,40(12):1503-1510.
JIANG Ruizhong,HE Jixiang,JIANG Yu,et al.Establishment and application of Blasingame production decline analysis method for fractured horizontal well in shale gas reservoirs[J].Acta Petrolei Sinica,2019,40(12):1503-1510.
[3] 欧阳伟平,孙贺东,张冕.考虑应力敏感的致密气多级压裂水平井试井分析[J].石油学报,2018,39(5):570-577.
OUYANG Weiping,SUN Hedong,ZHANG Mian.Well test analysis for multistage fractured horizontal wells in tight gas reservoir considering stress sensitivity[J].Acta Petrolei Sinica,2018,39(5):570-577.
[4] 胡勇,李熙喆,徐轩,等.含水致密砂岩气藏可动用储量评价新方法及其应用[J].石油学报,2021,42(3):332-340.
HU Yong,LI Xizhe,XU Xuan,et al.A new evaluation method for recoverable reserves of water-bearing tight sandstone gas reservoir and its application[J].Acta Petrolei Sinica,2021,42(3):332-340.
[5] 王宁.水平井分段压裂技术在低渗透气藏开发中的应用[J].石化技术,2015,22(8):214.
WANG Ning.Horizontal well staged fracturing technology in the application of the low permeability reservoir development[J].Petrochemical Industry Technology,2015,22(8):214.
[6] 蒲春生,郑恒,杨兆平,等.水平井分段体积压裂复杂裂缝形成机制研究现状与发展趋势[J].石油学报,2020,41(12):1734-1743.
PU Chunsheng,ZHENG Heng,YANG Zhaoping,et al.Research status and development trend of the formation mechanism of complex fractures by staged volume fracturing in horizontal wells[J].Acta Petrolei Sinica,2020,41(12):1734-1743.
[7] 朱世琰.基于分布式光纤温度测试的水平井产出剖面解释理论研究[D].成都:西南石油大学,2016.
ZHU Shiyan.Horizontal well production profile interpretation based on distributed temperature sensing[D].Chengdu:Southwest Petroleum University,2016.
[8] YOSHIDA N.Modeling and interpretation of downhole temperature in a horizontal well with multiple fractures[D].College Station:Texas A&M University,2016.
[9] 蔡珺君.水平井井筒温度预测及解释模型研究[D].成都:西南石油大学,2016.
CAI Junjun.Research on temperature prediction and interpretation model of horizontal well[D].Chengdu:Southwest Petroleum University,2016.
[10] UGUETO G A,HUCKABEE P T,MOLENAAR M M.Challenging assumptions about fracture stimulation placement effectiveness using fiber optic distributed sensing diagnostics:diversion,stage isolation and overflushing[R].SPE 173348,2015.
[11] SOOKPRASONG P A,GILL C C,HURT R S.Lessons learned from DAS and DTS in multicluster,multistage horizontal well fracturing:interpretation of hydraulic fracture initiation and propagation through diagnostics[R].SPE 170512,2014.
[12] SOOKPRASONG P A,HURT R S,GILL C C.Downhole monitoring of multicluster,multistage horizontal well fracturing with fiber optic distributed acoustic sensing (DAS)and distributed temperature sensing (DTS)[R].IPTC 17972,2014.
[13] UGUETO C G A,HUCKABEE P T,MOLENAAR M M,et al.Perforation cluster efficiency of cemented plug and perf limited entry completions; insights from fiber optics diagnostics[R].SPE 179124,2016.
[14] YOSHIOKA K.Detection of water or gas entry into horizontal wells by using permanent downhole monitoring systems[D].College Station:Texas A&M University,2007.
[15] YOSHIOKA K,ZHU Ding,HILL A D,et al.A new inversion method to interpret flow profiles from distributed temperature and pressure measurements in horizontal wells[J].SPE Production & Operations,2009,24(4):510-521.
[16] LI Zhuoyi,ZHU Ding.Predicting flow profile of horizontal well by downhole pressure and distributed-temperature data for waterdrive reservoir[J].SPE Production & Operations,2010,25(3):296-304.
[17] LI Zhuoyi.Interpreting horizontal well flow profiles and optimizing well performance by downhole temperature and pressure data[D].College Station:Texas A&M University,2010.
[18] CAI Junjun,DUAN Yonggang.Study on temperature distribution along wellbore of fracturing horizontal wells in oil reservoir[J].Petroleum,2015,1(4):358-365.
[19] CUI Jingyuan.Diagnosis of multi-stage fracture stimulation in horizontal wells by downhole temperature measurements[D].College Station:Texas A&M University,2015.
[20] CUI Jingyuan,YANG Changdong,ZHU Ding,et al.Fracture diagnosis in multiple-stage-stimulated horizontal well by temperature measurements with fast marching method[J].SPE Journal,2016,21(6):2289-2300.
[21] ZHANG Shuang,ZHU Ding.Inversion of Downhole temperature measurements in multistage fracture stimulation in horizontal wells[R].SPE 187322,2017.
[22] CUI Jingyuan,ZHU Ding.Diagnosis of multiple fracture stimulation in horizontal wells by downhole temperature measurements[R].IPTC 17700,2014.
[23] LUO Hongwen,LI Haitao,LU Yu,et al.Inversion of distributed temperature measurements to interpret the flow profile for a multistage fractured horizontal well in low-permeability gas reservoir[J].Applied Mathematical Modelling,2020,77:360-377.
[24] ZHANG Shuang,ZHU Ding.Efficient flow rate profiling for multiphase flow in horizontal wells using downhole temperature measurement[R].IPTC 19138,2019.
[25] LUO Hongwen,LI Haitao,LI Yahui,et al.Investigation of temperature behavior for multi-fractured horizontal well in low-permeability gas reservoir[J].International Journal of Heat and Mass Transfer,2018,127:375-395.
[26] BIRD R B,STEWART W E,LIGHTFOOT E N,et al.Transport phenomena[J].John Wiley & Sons,1960,28(2):338-359.
[27] YOSHIDA N,HILL A D.Comprehensive modeling of downhole temperature in a horizontal well with multiple fractures[R].SPE 181812,2016.
[28] PEACEMAN D W.Interpretation of well-block pressures in numerical reservoir simulation with nonsquare grid blocks and anisotropic permeability[J].Society of Petroleum Engineers Journal,1983,23(3):531-543.
[29] LUO Hongwen,LI Haitao,ZHOU Xiaojing,et al.Modeling temperature behavior of multistage fractured horizontal well with two-phase flow in low-permeability gas reservoirs[J].Journal of Petroleum Science and Engineering,2019,173:1187-1209.
[30] 罗红文,李海涛,刘会斌,等.低渗气藏两相渗流压裂水平井温度剖面预测[J].天然气地球科学,2019,30(3):389-399.
LUO Hongwen,LI Haitao,LIU Huibin,et al.Predicting temperature profiles of fractured horizontal well with two-phase flow in low-permeability gas reservoir[J].Natural Gas Geoscience,2019,30(3):389-399.
[31] 黄连忠,万晓跃,孙永刚,等.基于模拟退火算法的船舶航速优化研究[J].船舶,2018,29(增刊1):8-17.
HUANG Lianzhong,WAN Xiaoyue,SUN Yonggang,et al.Research on ship speed optimization based on simulated annealing algorithm[J].Ship & Boat,2018,29(S1):8-17.
[32] 张志伟,暴景阳,肖付民,等.利用模拟退火算法反演多波束测量声速剖面[J].武汉大学学报:信息科学版,2018,43(8):1234-1241.
ZHANG Zhiwei,BAO Jingyang,XIAO Fumin,et al.Inversion of sound velocity profile in multibeam survey based on simulated annealing algorithm[J].Geomatics and Information Science of Wuhan University,2018,43(8):1234-1241.
[33] 陈华根,吴健生,王家林,等.模拟退火算法机理研究[J].同济大学学报:自然科学版,2004,32(6):802-805.
CHEN Huagen,WU Jiansheng,WANG Jialin,et al.Mechanism study of simulated annealing algorithm[J].Journal of Tongji University:Natural Science,2004,32(6):802-805.
[34] 赵琪.MCMC方法研究[D].济南:山东大学,2007.
ZHAO Qi.Study of MCMC method[D].Jinan:Shandong University,2007.
[35] JIANXIN S.MCMC and its application[J].Mathematics Learning and Research,2017(19):44-46.

Inversion and interpretation of production profile and fracture parameters of fractured horizontal wells in low-permeability gas reservoirs

低渗透气藏压裂水平井产出剖面与裂缝参数反演解释

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 11

Recommended Articles

Metrics

Comments

[1]	Jiang Ruizhong, He Jixiang, Jiang Yu, Fan Haijun. Establishment and application of Blasingame production decline analysis method for fractured horizontal well in shale gas reservoirs [J]. Acta Petrolei Sinica, 2019, 40(12): 1503-1510.
[2]	Ouyang Weiping, Sun Hedong, Zhang Mian. Well test analysis for multistage fractured horizontal wells in tight gas reservoir considering stress sensitivity [J]. Acta Petrolei Sinica, 2018, 39(5): 570-577.
[3]	Zeng Yan, Wang Bencheng, Nie Renshi. The porous flow model of multi-stage fractured horizontal well in linear composite oil reservoirs [J]. Acta Petrolei Sinica, 2017, 38(6): 687-695,720.
[4]	Wang Fei, Pan Ziqing. Deconvolution-based well test model for the fractured horizontal wells in tight gas reservoirs [J]. Acta Petrolei Sinica, 2016, 37(7): 898-902,938.
[5]	Wei Mingqiang, Duan Yonggang, Fang Quantang, Li Zhenglan, Li Anhao. 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.
[6]	Ren Long, Su Yuliang, Hao Yongmao, Zhang Qi, Meng Fankun, Sheng Guanglong. Dynamic analysis of SRV-fractured horizontal wells in tight oil reservoirs based on stimulated patterns [J]. Acta Petrolei Sinica, 2015, 36(10): 1272-1279.
[7]	Su Yuliang, Wang Wendong, Sheng Guanglong. Compound flow model of volume fractured horizontal well [J]. ACTA PETROLEI SINICA, 2014, 35(3): 504-510.
[8]	HAO Mingqiang;HU Yongle;LI Fanhua. Production decline laws of fractured horizontal wells in ultra-low permeability reservoirs [J]. Editorial office of ACTA PETROLEI SINICA, 2012, 33(2): 269-273.
[9]	ZENG Baoquan CHENG Linsong LI Chunlan YUAN Shuai. Development evaluation of fractured horizontal wells in ultra-low permeability reservoirs [J]. Editorial office of ACTA PETROLEI SINICA, 2010, 31(5): 791-796.
[10]	ZHAO Hui LI Yang GAO Da CAO Lin. Research on reservoir interwell dynamic connectivity using systematic analysis method [J]. Editorial office of ACTA PETROLEI SINICA, 2010, 31(4): 633-636.
[11]	WU Xiaodong, SUI Xianfu, AN Yongsheng, ZHANG Fengxi, CHEN Yongguang. Electrolytic simulation experiment of fractured horizontal well [J]. Editorial office of ACTA PETROLEI SINICA, 2009, 30(5): 740-743,748.