Abstract：To realize the quantitative interpretation of multidimensional unknown parameters such as production profile, artificial fracture parameters, and permeability of the fracture network for a horizontal well in shale gas reservoirs, this paper proposes an inversion method based on particle swarm optimization (PSO) algorithm to inverse the distributed temperature sensing (DTS) data in the horizontal well.This inversion method consists of a forward prediction model of temperature profile and PSO algorithm.The forward prediction model is employed to simulate the temperature profile in each inversion iteration step.The PSO algorithm is adopted to optimize and update the unknown parameters such as production profile and fracture parameters in each iteration to gradually reduce the error between the simulated temperature profile and the measured DTS data of a horizontal well in shale gas reservoirs until convergence is achieved.The inversion results of a field well indicate that the predicted temperature profile is well fitted with the measured DTS data, and the absolute temperature deviation at each effective artificial fracture location is less than 0.03℃.The inversion results of the production profile are in good agreement with the PLT(Production Logging Tool) test, and the maximum deviation of flow rate in any individual fracturing stage is only 0.291 × 104 m3/d, which verifies the reliability of the proposed method.Finally, a basis is provided for balancing production profiles and improving the productivity of a single well in shale gas reservoirs.
罗红文, 艾文斌, 李海涛, 向雨行, 张琴, 李颖. 采用PSO算法的页岩气水平井DTS数据反演方法[J]. 石油地球物理勘探, 2023, 58(5): 1202-1210.
LUO Hongwen, AI Wenbin, LI Haitao, XIANG Yuxing, ZHANG Qin, LI Ying. Inversion method of distributed temperature sensing data for horizontal wells in shale gas reservoirs based on PSO algorithm. Oil Geophysical Prospecting, 2023, 58(5): 1202-1210.
郑建雄, 朱斗星, 袁立川, 等.非常规水平井地震导向关键参数分析及预测方法[J].石油地球物理勘探, 2021, 56(5):1170-1179.ZHENG Jianxiong, ZHU Douxing, YUAN Lichuan, et al.Analysis and prediction method of key parameters for seismic steering of unconventional horizontal wells[J].Oil Geophysical Prospecting, 2021, 56(5):1170-1179.
[2]
王猛.我国页岩气勘探开发现状及发展前景分析[J].石化技术, 2017, 24(7):150-151.WANG Meng.The present situation and development prospect of shale gas exploration and development in China are analyzed[J].Petrochemical Industry Technology, 2017, 24(7):150-151.
[3]
李亚龙, 刘先贵, 胡志明, 等.页岩储层压裂缝网模拟研究进展[J].石油地球物理勘探, 2019, 54(2):480-492.LI Yalong, LIU Xiangui, HU Zhiming, et al.Research progress on fracture network simulation in shale reservoirs[J].Oil Geophysical Prospecting, 2019, 54(2):480-492.
[4]
赵文智, 贾爱林, 位云生, 等.中国页岩气勘探开发进展及发展展望[J].中国石油勘探, 2020, 25(1):31-44.ZHAO Wenzhi, JIA Ailin, WEI Yunsheng, et al.Progress in shale gas exploration in China and prospects for future development[J].China Petroleum Exploration, 2020, 25(1):31-44.
[5]
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].四川成都:西南石油大学, 2016.ZHU Shiyan.Horizontal Well Production Profile Interpretation Based on Distributed Temperature Sensing[D].Southwest Petroleum University, Chengdu, Sichuan, 2016.
[6]
MA H, LUO H, LI H, et al.Study on the influence law of temperature profile of vertical wells in gas reservoirs[J].International Journal of Petroleum Technology, 2022, 9:54-66.
[7]
蔡珺君.水平井井筒温度预测及解释模型研究[D].四川成都:西南石油大学, 2016.CAI Junjun.Research on Temperature Prediction and Interpretation Model of Horizontal Well[D]. Southwest Petroleum University, Chengdu, Sichuan, 2016.
[8]
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[C].SPE Hydraulic Fracturing Technology Conference, 2015, SPE-173348-MS.
[9]
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].IADC/SPE Asia Pacific Drilling Technology Conference, 2014, SPE-170512-MS.
[10]
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].International Petroleum Technology Conference, 2014, IPTC-17972-MS.
[11]
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[C].SPE Hydraulic Fracturing Technology Conference, 2016, SPE-179124-MS.
[12]
NOWAK T J.The estimation of water injection profiles from temperature surveys[J].Journal of Petroleum Technology, 1953, 5(8):203-212.
[13]
YOSHIOKA K, ZHU D, HILL A D, et al.Detection of water or gas entries in horizontal wells from temperature profiles[C].SPE Europec/EAGE Annual Conference and Exhibition, 2006, SPE-100209-MS.
[14]
YOSHIOKA K, ZHU D, HILL A D, et al.A comprehensive model of temperature behavior in a horizontal well[C].SPE Annual Technical Conference and Exhibition, 2005, SPE-95656-MS.
[15]
LI Z, ZHU D.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.
[16]
CAI J, DUAN Y.Study on temperature distribution along wellbore of fracturing horizontal wells in oil reservoir[J].Petroleum, 2015, 1(4):358-365.
[17]
ZHANG S, ZHU D.Inversion of downhole temperature measurements in multistage fracture stimulation in horizontal wells[C].SPE Annual Technical Conference and Exhibition, 2017, SPE-187322-MS.
[18]
CUI J, ZHU D.Diagnosis of multiple fracture stimulation in horizontal wells by downhole temperature measurements[C].International Petroleum Technology Conference, 2014, IPTC-17700-MS.
[19]
LUO H, LI H, LU Y, 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, Part 1:360-377.
[20]
LUO H, LI H, TAN Y, 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.
[21]
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.
[22]
罗红文, 李海涛, 李颖, 等.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.LUO Hongwen, LI Haitao, LI Ying, et al.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.
[23]
ZHANG S, ZHU D.Efficient flow rate profiling for multiphase flow in horizontal wells using downhole temperature measurement[C].International Petroleum Technology Conference, 2019, IPTC-19138-MS.
[24]
LUO H, LI Y, LI H, 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(4):1679-1699.
[25]
林鹤, 李德旗, 周博宇, 等.天然裂缝对压裂改造效果的影响[J].石油地球物理勘探, 2018, 53(增刊2):156-161, 167.LIN He, LI Deqi, ZHOU Boyu, et al.Influences of natural cracks on fracturing[J].Oil Geophysical Prospecting, 2018, 53(S2):156-161, 167.
[26]
李雄炎, 秦瑞宝, 曹景记, 等.复杂储层连通孔隙度评价与渗透率定量计算方法[J].石油地球物理勘探, 2022, 57(2):377-385.LI Xiongyan, QIN Ruibao, CAO Jingji, et al.Method of connected porosity evaluation and quantitative permeability calculation for complex reservoirs[J].Oil Geophysical Prospecting, 2022, 57(2):377-385.
[27]
WU Q, ZHU Z, YAN X, et al.An improved particle swarm optimization algorithm for AVO elastic parameter inversion problem[J].Concurrency and Computation:Practice and Experience, 2019, 31(9):e4987.
[28]
马海, 王延江, 胡睿, 等.测井岩性识别新方法研究[J].地球物理学进展, 2009, 24(1):263-269.MA Hai, WANG Yanjiang, HU Rui, et al.A novel method for well logging lithologic identification[J].Progress in Geophysics, 2009, 24(1):263-269.
[29]
李海涛, 罗红文, 向雨行, 等.基于DTS的页岩气水平井人工裂缝识别与产出剖面解释方法[J].天然气工业, 2021, 41(5):66-75.LI Haitao, LUO Hongwen, XIANG Yuxing, et al.DTS based hydraulic fracture identification and production profile interpretation method of horizontal well[J].Natural Gas Industry, 2021, 41(5):66-75.
[30]
亓倩.页岩气储层多级压裂水平井多场耦合非线性渗流理论研究[D].北京:北京科技大学, 2020.QI Qian.Multi-field Coupling Nonlinear Seepage Theory of Multisatge Fractured Horizontal Wells for Shale Gas Reservoirs[D].University of Science & Technology Beijing, Beijing, 2020.
[31]
SHAW R, SRIVASTAVA S.Particle swarm optimization:A new tool to invert geophysical data[J].Geophysics, 2007, 72(2):75-83.
