由于缺少水平井温度剖面预测模型,且影响温度剖面的主导因素不明确,导致根据分布式光纤温度测试数据反演解释致密气藏压裂水平井产出剖面十分困难。为此,建立了考虑多种微量热效应和裂缝系统传热的致密气藏压裂水平井温度剖面耦合预测模型,模拟分析致密气藏压裂水平井储层温度分布和井筒温度剖面特征,并采用正交实验分析和定量实验分析方法评价不同影响因素对温度剖面的影响程度。研究表明:各因素对致密气藏压裂水平井温度剖面的影响程度由大至小依次为裂缝半长、单井日产气量、储层渗透率、井筒直径、裂缝导流能力、水平段井筒倾角、储层总导热系数;主导因素为裂缝半长、单井日产气量和储层渗透率。温度模型的建立和温度剖面主导因素的确定为致密气藏压裂水平井产出剖面、裂缝参数等定量解释奠定了理论基础。
The absence of horizontal well temperature profile prediction models and the unclear dominant factors affecting the temperature profile make it very difficult to invert and interpret the production profile of fractured horizontal well in tight gas reservoirs based on the temperature test data of distributed optical fiber. To this end, a coupled temperature profile prediction model was established for fractured horizontal wells in tight gas reservoirs, taking into account multiple micro thermal effects and heat transfer in the fracture system, the reservoir temperature distribution and wellbore temperature profile characteristics of fractured horizontal wells in tight gas reservoir were simulated and analyzed, and the influence of different influencing factors on temperature profile was evaluated by orthogonal experimental analysis and quantitative empirical analysis. It was found in the study that the following factors were listed in descending order according to their influence of the factors on the temperature profile of fractured horizontal wells in tight gas reservoirs: fracture half-length, daily gas production of single well, reservoir permeability, wellbore diameter, fracture conductivity, wellbore inclination in horizontal section and the total thermal conductivity of the reservoir; the dominant factors were fracture half-length, daily gas production of single well, and reservoir permeability. The establishment of the temperature model and the determination of the dominant factors of the temperature profile laid a theoretical foundation for the quantitative interpretation of the production profile and fracture parameters of the fractured horizontal wells in tight gas reservoirs.
[1] 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.
[2] 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[C].SPE170512,2014:1-9.
[3] 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)[C].IPTC17972,2014:1-10.
[4] RAMEY H J J.Wellbore heat transmission[J].Journal of Petroleum Technology,1962,14(4):427-435.
[5] HOLST P H,FLOCK D L.Wellbore behaviour during saturated steam injection[J].Journal of Canadian Petroleum Technology,1966,5(4):184-193.
[6] SATTER A.Heat losses during flow of steam down a wellbore[J].Journal of Petroleum Technology,1965,17(7):845-851.
[7] YOSHIOKA K,ZHU Ding,HILL A D,et al.A comprehensive model of temperature behavior in a horizontal well[C].SPE95656,2005:1-15.
[8] YOSHIOKA K.Detection of water or gas entry into horizontal wells by using permanent downhole monitoring systems[D].Texas:Texas A&M University,2007.
[9] YOSHIOKA K,ZHU Ding,HILL A D,et al.Prediction of temperature changes caused by water or gas entry into a horizontal well[J].SPE Production & Operations,2007,22(4):425-433.
[10] MURADOV K M,DAVIES D R.Novel analytical methods of temperature interpretation in horizontal wells[C].SPE131642,2010:1-14.
[11] LI Zhuoyi,ZHU Ding.Predicting flow profile of horizontal well by downhole pressure and distributed-temperature data for water-drive reservoir[J].SPE Production & Operations,2010,25(3):296-304.
[12] RADESPIEL E.A comprehensive model describing temperature behavior in horizontal well:investigation of potential benefits of using downhole distributed temperature measurement system[D].Pennsylvania:The Pennsylvania State University,2010.
[13] CAI Junjun,DUAN Yonggang.Study on temperature distribution along wellbore of fracturing horizontal wells in oil reservoir[J].Petroleum,2015,1(4):358-365.
[14] YOSHIDA N,HILL A D.Comprehensive modeling of downhole temperature in a horizontal well with multiple fractures[C].SPE181812,2016:1-32.
[15] CUI Jinyuan,ZHU Ding.Diagnosis of multiple fracture stimulation in horizontal wells by downhole temperature measurements[C].IPTC17700,2014:1-12.
[16] 曲占庆,黄德胜,李小龙,等.低渗气藏压裂水平井裂缝参数优化研究与应用[J].断块油气田,2014,21(4):486-491.
QU Zhanqing,HUANG Desheng,LI Xiaolong,et al.Research and application of fracture parameter optimization of fractured horizontal well in low permeability gas reservoir[J].Fault-Block Oil & Gas Field,2014,21(4):486-491.
[17] CUI Jinyuan.Diagnosis of multiple fracture stimulation in horizontal wells by downhole temperature measurements[D].Texas:Texas A & M University,2015.
[18] BIRD R B,STEWART W E,LIGHTFOOT E N,et al.Transport phenomena[J].John Wiley & Sons, 1960,28(2):338-359.
[19] YOSHIOKA K,ZHU Ding,HILL A D.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.
[20] OLDENBURG C M.Joule-Thomson cooling due to CO injection into natural gas reservoirs[J].Energy Conversion & Management,2007,48(6):1808-1815.
[21] ZHANG Shuang,ZHU Ding.Inversion of downhole temperature measurements in multistage fracture stimulation in horizontal wells[C].SPE187322,2017:1-19.
[22] LUO Hongwen,LI Haitao,LI Ying,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.
[23] 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,1983,18(3):183-194.
[24] 罗红文,李海涛,蒋贝贝,等.基于DTS数据反演的低渗气藏压裂水平井产出剖面解释新方法[J].天然气地球科学,2019,30(11):1639-1645.
LUO Hongwen,LI Haitao,JIANG Beibei,et al.A novel method to interpret production profiles of fractured horizontal well in low-permeability gas reservoir by inversing DTS data[J].Natural Gas Geoscience,2019,30(11):1639-1645.
[25] 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.
[26] LUO Hongwen,LI Haitao,TAN Yongsheng,et al.A novel inversion approach for fracture parameters and inflow rates diagnosis in multistage fractured horizontal wells[J].Journal of Petroleum Science and Engineering,2020(184):106585.
[27] LUO Hongwen,LI Ying,LI Haitao,et al.Simulated annealing algorithm-based inversion model to interpret flow rate profiles and fracture parameters for horizontal wells in unconventional gas reservoirs[J].SPE Journal,2021,26(1):1-21.
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