Journal of Southwest Petroleum University(Science & Technology Edition) ›› 2022, Vol. 44 ›› Issue (4): 153-164.DOI: 10.11885/j.issn.1674-5086.2020.06.02.01
• OIL AND GAS ENGINEERING • Previous Articles Next Articles
FENG Gaocheng, YIN Yanjun, MA Liangshuai, ZHANG Liang, WANG Wei
Received:
2020-06-02
Published:
2022-07-28
CLC Number:
FENG Gaocheng, YIN Yanjun, MA Liangshuai, ZHANG Liang, WANG Wei. A Discussion on the Development of Intelligent Well Technology in Offshore Oilfield[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2022, 44(4): 153-164.
[1] 黄昌武.数字油田成功的关键[J].石油勘探与开发, 2008, 35(4):436. HUANG Changwu. The key to the success of digital oil fields[J]. Petroleum Exploration and Development, 2008, 35(4):436. [2] 张颖琦. WG井智能完井技术应用研究[D].成都:西南石油大学, 2017. ZHANG Yingqi. Research and application of intelligent completion technology in WG well[D]. Chengdu:Southwest Petroleum University, 2017. [3] KOELMAN J V. Fiber-optic sensing technology providing well, reservoir information-anyplace, anytime[J]. Journal of Petrleum Technology, 2015, 63(7):22-24. doi:10.2118/0711-0022-JPT [4] EDDIE P, PHIL A, BARBARA M, et al. Permanent fiber optic monitoring at northstar:System installation[C]. SPE 76748-MS, 2002. doi:10.2118/76748-MS [5] KRAGAS T K, TURNBULL B F, FRANCIS M J. Permanent fiber-optic monitoring at northstar:Pressure/temperature system and data overview[J]. SPE Production & Facilities, 2004, 19(2):86-93. doi:10.2118/76747-MS [6] GINGERICH B L, BRUSIUS P G, MACLEAN I M. Reliable electronics for high-temperature downhole applications[C]. SPE 56438-MS, 1999. doi:10.2118/56438-MS [7] KRAHENBUHL R A, LI Yaoguo, DAVIS T. 4D gravity monitoring of fluid movement at Delhi Field, LA:A feasibility study with seismic and well data[C]. SEG Annual Meeting Denver:Socity of Exploration Geophysicists, 2010. doi:10.1190/1.3513747 [8] WATTS G, GRIFFIN T A, BARKVED O I, et al. Permanent seismic arrays and their place in the digital oilfield[C]. SPE 99827-MS, 2006. doi:10.2118/99827-MS [9] KLEEF V R, HAKVOORT R, BHUSHAN V, et al. Water flood monitoring in an oman carbonate reservoir using a downhole permanent electrode array[C]. SPE 68078-MS, 2001. doi:10.2118/68078-MS [10] PETER A A. GPR methods for hydrogeological studies[J]. Hydrogeophysics, 2005, 50:185-213. doi:10.1007/140203102-5_7 [11] RAMEY H J J. Wellbore heat transmission[J]. Journal of Petroleum Technology, 1962, 14(4):427-435. doi:10.2118/96-PA [12] WILLHITE G P. Over-all heat transfer coefficients in stream and hot water injection wells[J]. Journal of Petroleum Technology, 1967, 19(5):607-615. doi:10.2118/1449PA [13] HASAN A R, KABIR C S, AMEEN M M, et al. Heat transfer during two-phase flow in wellbores:Part I Formation temperature[C]. SPE 22866-MS, 1991. doi:10.2118/22866-MS [14] HASAN A R, KABIR C S, AMEEN M M, et al. A fluid circulating temperature model for workover operations[J]. SPE Journal, 1996, 1(2):133-144. doi:10.2118/27848-PA [15] KABIR S, HASAN A R, JORDAN D L, et al. A wellbore/reservoir simulator for testing gas wells in high-temperature reservoirs[J]. SPE Formation Evaluation, 1996, 11(2):128-134. doi:10.2118/28402-PA [16] KABIR C S, HASAN A R, JORDAN D L, et al. A transient wellbore/reservoir model for testing gas wells in high-temperature reservoirs, part II-Field application[C]. SPE 28403-MS, 1994. doi:10.2118/28403-MS [17] HASAN A R, KABIR C S, LIN D. Analytic wellbore temperature model for transient gas-well testing[C]. SPE 84288-PA, 2005. doi:10.2118/84288-PA [18] SILVA M F, MURADOV K M, DAVIES D R. Review, analysis and comparison of intelligent well monitoring systems[C]. SPE 150195-MS, 2012. doi:10.2118/150195-MS [19] ABDULELAH A B, HASSAN B Q, KHALED A K, et al. The use of real-time downhole pressure and distributed temperature surveying in quantifying the skin evolution and zonal coverage in horizontal well stimulation[C]. SPE 155723-MS, 2012. doi:10.2118/155723-MS [20] MURADOV K M, DAVID R D. Zonal rate allocation in intelligent wells[C]. SPE 121055-MS, 2009. doi:10.2118/121055-MS [21] YOSHIOKA K, ZHU D, HILL A D, et al. Interpretation of temperature and pressure profiles measured in multilateral wells equipped with intelligent completions[C]. SPE 94097-MS, 2005. doi:10.2118/94097-MS [22] YOSHIOKA K, ZHU D, HILL A D. A new inversion method to interpret flow profiles from distributed temperature and pressure measurements in horizontal wells[C]. SPE 109749-MS, 2007. doi:10.2118/109749-MS [23] LI Zhuoyi, ZHU Ding. Optimization of production with ICV by using temperature data feedback in horizontal wells[C]. SPE 135156-MS, 2010. doi:10.2118/135156MS [24] BROUWER D R, JANSEN J D, STARRE S V D, et al. Recovery increase through water flooding with smart well technology[C]. SPE 68979-MS, 2001. doi:10.2523/68979-MS [25] LOUIS J D, KHLLID A. Optimization of smart well control[C]. SPE 79031-MS, 2002. doi:10.2118/79031-MS [26] ARENAS E, DOLLE N. Smart waterflooding tight fractured reservoirs using inflow control valves[C]. SPE 84193-MS, 2003. doi:10.2523/84193-MS [27] MOHAMMED S A M, AHMED H S, DREW E H, et al. Improved performance of downhole active inflow control valves through enhanced design:Case study[C]. SPE 117634-MS, 2008. doi:10.2118/117634MS [28] HOLMES J A, BARKVE T, LUND O. Application of a multisegment well model to simulate flow in advanced wells[C]. SPE 50646-MS, 1998. doi:10.2118/50646-MS [29] YETEN B, JALALI Y. Effectiveness of intelligent completions in a multiwell development context[C]. SPE 68077-MS, 2001. doi:10.2118/68077-MS [30] GAI H. Downhole flow control optimization in the worlds 1st extended reach multilateral well at Wytch farm[C]. SPE 67728-MS, 2001. doi:10.2118/67728-MS [31] KONOPCZYNSKI M, AJAYI A. Design of intelligent well downhole valves for adjustable flow control[C]. SPE 90664-MS, 2004. doi:10.2118/90664-MS [32] ZHU Ding, FURUI K. Optimizing oil and gas production by intelligent technology[C]. SPE 102104-MS, 2006. doi:10.2118/102104-MS [33] DENNEY D. Intelligent completions to optimize waterflood process in a mature North Sea Field[J]. Journal of Petroleum Technology, 2007, 59(1):39-42. doi:10.2118/0107-0039-JPT [34] 曲从锋, 王兆会, 袁进平.智能完井的发展现状和趋势[J].国外油气田工程, 2010, 26(7):28-31. doi:10.3969/j.issn.1002-641X.2010.7.009 QU Congfeng, WANG Zhaohui, YUAN Jinping. The present development and tendency of the intelligent well completion technology[J]. Energy Conservation in Petroleum & Petrochemical Industry, 2010, 26(7):28-31. doi:10.3969/j.issn.1002-641X.2010.7.009 [35] SUN Kai, GUO Boyun, SAPUTELLI L. Multinode intelligent well technology for active inflow control in horizontal wells[C]. SPE 130490-PA, 2011. doi:10.2118/130490-PA [36] ALKHODHORI S M. Smart well technologies implementation in PDO for production & reservoir management & control[C]. SPE 81486-MS, 2003. doi:10.2118/81486-MS [37] RAHMAN J, ALLEN C, BHAT G. Second generation interval control valve (ICV) improves operational efficiency and inflow performance in intelligent completions[C]. SPE 150850-MS, 2012. doi:10.2118/150850-MS [38] BROCK W R, LINSCOTT J, OLEH E O, et al. Application of intelligent-completion technology in a triple-zone gravel-packed commingled producer[C]. SPE 101021-MS, 2006. doi:10.2118/101021-MS [39] AJAYI A A, KONOPCZYNSKI M R. Theory and application of probabilistic method of designing customized interval control valves choke trim for multizone intelligent well systems[C]. SPE 110600-MS, 2007. doi:10.2118/110600-MS [40] KONOPCZYNSKI M, AJAYI A, RUSSELL L A. Intelligent well completion:Status and opportunities for developing marginal reserves[C]. SPE 85676-MS, 2003. doi:10.2118/85676-MS [41] 郭永峰.智能完井工具的"远程控制开关"[J].石油钻采工艺, 2017, 39(2):258. GUO Yongfeng. "Remote control switch" for intelligent completion tools[J]. Oil Drilling & Production Technology, 2017, 39(2):258. [42] NIGEL S, RICHARD C, DEVARAJAN N, et al. Experience with operation of smart wells to maximize oil recovery from complex reservoirs[C]. SPE 84855-MS, 2003. doi:10.2118/84855-MS [43] OGOKE V C, AIHEVBA C O, MARKETZ F. Cost-effective life-cycleprofile controlcom pletion system for horizontal and multilateral wells[C]. SPE 102077-MS, 2006. doi:10.2118/102077-MS [44] Al-KHELAIWI F T, BIRCHENKO V M, KONOPCZYNSKI M R, et al. Advanced wells:A comprehensive approach to the selection between passive and active inflow control completions[C]. IPTC 12145-MS, 2008. doi:10.2523/IPTC-12145-MS [45] BRNAK J J, PETRICH B, KONOPCZYNSKI M R. Application of smartwell technology to the SACROC CO2 EOR project:A case study[C]. SPE 100117-MS, 2006. doi:10.2118/100117-MS [46] RAWDING J, Al-MATAR B S, KONOPCZYNSKI M R. Application of intelligent well completion for controlled dumpflood in West Kuwait[C]. SPE 112243-MS, 2008. doi:10.2118/112243-MS [47] 石森, 白冶.气体水合物的基本特征、形成条件及成因初探[J].矿物岩石, 1999, 19(3):100-104. SHI Sen, BAI Ye. Study on the basic features, conditions of formation and origin of gas hydrates[J]. Journal of Mineralogy and Petrology, 1999, 19(3):100-104. [48] 余金陵, 魏新芳.胜利油田智能完井技术研究新进展[J].石油钻探技术, 2011, 39(2):68-72. doi:10.3969/j.issn.1001-0890.2011.02.013 YU Jinling, WEI Xinfang. New development of intelligent well completion technology in Shengli Oilfield[J]. Petroleum Drilling Techniques, 2011, 39(2):68-72. doi:10.3969/j.issn.1001-0890.2011.02.013 [49] 廖成龙, 张卫平, 黄鹏, 等.电控智能完井技术研究及现场应用[J].石油机械, 2017, 45(10):81-85. doi:10.16082/j.cnki.isnn.1001-4578.2017.10.016 LIAO Chenglong, ZHANG Weiping, HUANG Peng, et al. Study and application of electric intelligent well completion system[J]. China Petroleum Machinery, 2017, 45(10):81-85. doi:10.16082/j.cnki.isnn.1001-4578.2017.10.016 [50] 康学峰, 杨厚荣, 孙永兴.永置式井下智能多参数监测装置[J].石油仪器, 2007, 21(2):8-10. doi:10.3969/j.issn.1004-9134.2007.02.003 KANG Xuefeng, YANG Hourong, SUN Yongxing. Permanent downhole intelligent multi-parameter monitoring device[J]. Petroleum Instruments, 2007, 21(2):8-10. doi:10.3969/j.issn.1004-9134.2007.02.003 [51] 张振奇, 童茂松, 曹庆芳, 等.光纤传感器及其在石油钻探中的应用[J].石油仪器, 2007, 21(4):1-6. doi:10.3969/j.issn.1004-9134.2007.04.001 ZHANG Zhenqi, TONG Maosong, CAO Qingfang, et al. Optic fiber sensor and its application in drilling and exploration[J]. Petroleum Instruments, 2007, 21(4):1-6. doi:10.3969/j.issn.1004-9134.2007.04.001 [52] 许胜, 陈贻累, 杨元坤, 等.智能井井下仪器研究现状及应用前景[J].石油仪器, 2010, 25(1):46-48. doi:10.3969/j.issn.1004-9134.2011.01.015 XU Sheng, CHEN Yilei, YANG Yuankun, et al. Research status and application prospects of downhole instruments for intelligent well system[J]. Petroleum Instruments, 2010, 25(1):46-48. doi:10.3969/j.issn.1004-9134.2011.01.015 [53] 陈懿.光纤光栅高温高压传感技术的研究[D].西安:西安石油大学, 2010. doi:10.7666/d.y1709027 CHEN Yi. Study on high temperature and high pressure sensing technology based on fiber grating[D]. Xi'an:Xi'an Shiyou University, 2010. doi:10.7666/d.y1709027 [54] 何明格, 马发明, 陈艳.智能井下节流器控制系统设计[J].天然气与石油, 2013, 31(5):82-85. doi:10.3969/j.issn.1006-5539.2013.05.022 HE Mingge, MA Faming, CHEN Yan. Design of intelligent downhole throttle control system[J]. Natural Gas and Oil, 2013, 31(5):82-85. doi:10.3969/j.issn.1006-5539.2013.05.022 [55] 何明格, 林丽君, 殷国富, 等.井下智能节流及智能节流器系统开发[J].四川大学学报(工程科学版), 2013, 45(3):151-157. HE Mingge, LIN Lijun, YIN Guofu, et al. Study and design of an intelligent downhole throttle system[J]. Journal of Sichuan University (Engineering Science Edition), 2013, 45(3):151-157. [56] 刘均荣, 史伟新, 李博宇, 等.分布式光纤声音传感技术在油田中的应用及发展前景[J].地质科技情报, 2017, 36(5):262-266. doi:10.19509/j.cnki.dzkq.2017.0537 LIU Junrong, SHI Weixin, LI Boyu, et al. Applications and development prospect of distributed acoustic sensing technology in oilfields[J]. Geological Science and Technology Information, 2017, 36(5):262-266. doi:10.19509/j.cnki.dzkq.2017.0537 [57] 刘均荣, 姚军, 于伟强.长时井下压力监测数据流动过程识别方法研究[J].西南石油大学学报(自然科学版), 2014, 36(2):121-127. doi:10.11885/j.issn.1674-5086.2012.06.01.01 LIU Junrong, YAO Jun, YU Weiqiang. Study of indentification method of transient flow from permanent downhole pressure data[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2014, 36(2):121-127. doi:10.11885/j.issn.1674-5086.2012.06.01.01 [58] 张建军, 贾永禄, 张烈辉.长时压力监测数据处理新方法与应用研究[J].西南石油大学学报(自然科学版), 2010, 32(2):133-137. doi:10.3863/j.issn.1674-5086.2010.02.026 ZHANG Jianjun, JIA Yonglu, ZHANG Liehui. A new method for processing of long-termp pressure data and its application[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2010, 32(2):133-137. doi:10.3863/j.issn.1674-5086.2010.02.026 [59] 杨顺辉, 豆宁辉, 赵向阳, 等.多层合采智能井井筒温度场预测模型及应用[J].石油钻探技术, 2019, 47(4):83-91. doi:10.11911/syztjs.2019049 YANG Shunhui, DOU Ninghui, ZHAO Xiangyang, et al. Temperature field prediction model for multi-layer commingled production wellbore in intelligent wells and it's application[J]. Petroleum Drilling Techniques, 2019, 47(4):83-91. doi:10.11911/syztjs.2019049 [60] 石军太, 李骞, 张磊, 等.多层合采气井产能指示曲线异常的原因与校正方法[J].天然气工业, 2018, 38(3):50-59. doi:10.3787/j.issn.1000-0976.2018.03.006 SHI Juntai, LI Qian, ZHANG Lei, et al. An abnormality of productivity indicative curves for multi-layer gas wells:Reason analysis and a correction method[J]. Natural Gas Industry, 2018, 38(3):50-59. doi:10.3787/j.issn.1000-0976.2018.03.006 [61] 廖锐全, 汪崎生, 张柏年.斜井井筒中流动温度分布的预测方法[J].江汉石油学院学报, 1995, 18(2):73-76. LIAO Ruiquan, WANG Qisheng, ZHANG Bainian. A model for predicting flowing temperature distribution in an inclined wellbore[J]. Journal of Jianghan Petroleum Institute, 1995, 18(2):73-76. [62] 卢德唐, 曾亿山, 郭永存.多层地层中的井筒及地层温度解析解[J].水动力学研究与进展, 2002, 17(3):382-389. doi:10.3969/j.issn.1000-4874.2002.03.015 LU Detang, ZENG Yishan, GUO Yongcun. Analytical solution of temperature in wellbore and formation in multi-layer[J]. Journal of Hydrodynamics, 2002, 17(3):382-389. doi:10.3969/j.issn.1000-4874.2002.03.015 [63] 曾祥林, 刘永辉, 李玉军, 等.预测井筒压力及温度分布的机理模型[J].西安石油学院学报(自然科学版), 2003, 18(2):40-44. doi:10.3969/j.issn.1673064X.2003.02.011 ZENG Xianglin, LIU Yonghui, LI Yujun, et al. Mechainsim model for predicting the distributions of wellbore pressure and temperature[J]. Journal of Xi'an Petroleum Institute (Natural Science Edition), 2003, 18(2):40-44. doi:10.3969/j.issn.1673-064X.2003.02.011 [64] 魏立新, 刘扬, 杨建军, 等.油井出油温度最优化拟和方法[J].大庆石油学院学报, 2004, 28(2):54-56. doi:10.3969/j.issn.2095-4107.2004.02.018 WEI Lixin, LIU Yang, YANG Jianjun, et al. Optimization fitting method of oil well head flowing temperature formula[J]. Journal of Daqing Petroleum Institute, 2004, 28(2):54-56. doi:10.3969/j.issn.2095-4107.2004.02.018 [65] 陈军斌, 屈展, 沈建文, 等.智能完井综合系统的数学模型研究[C].青岛:中国智能自动化会议论文集, 2005. CHEN Junbin, QU Zhan, SHEN Jianwen, et al. A study on mathematical model of intelligent complete comprehensive system[C]. Qingdao:Proceedings of the Chinese Intelligent Automation Conference, 2005. [66] 唐海雄, 张俊斌, 王堂青, 等.海上高温油井的井筒温度剖面预测[J].大庆石油学院学报, 2010, 34(3):96-100. doi:10.3969/j.issn.2095-4107.2010.03.022 TANG Haixiong, ZHANG Junbin, WANG Tangqing, et al. Prediction of wellbore temperature profile in offshore HT oil wells[J]. Journal of Daqing Petroleum Institute, 2010, 34(3):96-100. doi:10.3969/j.issn.2095-4107.2010.03.022 [67] 刘晓娟, 肖伟, 闫健.双分支智能水平井信息分析研究[J].钻采工艺, 2009, 32(5):40-41. doi:10.3969/j.issn.1006-768X.2009.05.014 LIU Xiaojuan, XIAO Wei, YAN Jian. Information analysis of bi-lateral intelligent horizontal wells[J]. Drilling & Production Technology, 2009, 32(5):40-41. doi:10.3969/j.issn.1006-768X.2009.05.014 [68] 隋微波, 张士诚.多层合采油藏分层测试新方法可行性分析[J].油气地质与采收率, 2010, 17(5):90-94. doi:10.3969/j.issn.1009-9603.2010.05.024 SUI Weibo, ZHANG Shicheng. Feasibility analysis of testing method on multilayer commingled oil reservoir[J]. Petroleum Geology and Recovery Efficiency, 2010, 17(5):90-94. doi:10.3969/j.issn.1009-9603.2010.05.024 [69] 焉琳琳, 孙宝江, 王志远.深水智能井多层合采的井筒温度场分布研究[C].青岛:第十三届全国水动力学学术会议暨第二十六届全国水动力学研讨会论文集, 2013:980-991. YAN Linlin, SUN Baojiang, WANG Zhiyuan. Wellbore temperature field distribution of multi-layer co-production in deep water intelligent well[J]. Qingdao:Proceedings of the 13th National Hydrodynamics Conference and the 26th National Hydrodynamics Symposium, 2013:980-991. [70] 张娇, 王浩, 谢天, 等.智能完井自动气举理论研究[J].石油钻采工艺, 2017, 39(6):737-743. doi:10.13639/j.odpt.2017.06.014 ZHANG Jiao, WANG Hao, XIE Tian, et al. Theoretical study on the automatic gas lift of intelligent well completion[J]. Oil Drilling & Production Technology, 2017, 39(6):737-743. doi:10.13639/j.odpt.2017.06.014 [71] YIN Bangtang, LI Xiangfang, LIU Gang. A mechanistic model of heat transfer for gas-liquid flow in vertical wellbore annuli[J]. Petroleum Science, 2018, 15(1):135-145. [72] 王子健, 申瑞臣, 王开龙, 等.基于最优控制理论的智能井动态优化技术[J].石油学报, 2012, 33(5):887-891. WANG Zijian, SHEN Ruichen, WANG Kailong, et al. Dynamic optimization techniques of smart wells using optimal control theory[J]. Acta Petrolei Sinica, 2012, 33(5):887-891. [73] 赵辉.油藏开发闭合生产优化理论研究[D].东营:中国石油大学(华东), 2011. doi:10.7666/d.y1877014 ZHAO Hui. Theoretical research on reservoir closed-loop production optimization[D]. Dongying:China University of Petroleum (East China), 2011. doi:10.7666/d.y1877014 [74] 王浩.智能完井生产优化方法研究[D].西安:西安石油大学, 2017. WANG Hao. Research on production optimization method of intelligent completion[J]. Xi'an:Xi'an Shiyou University, 2017. [75] 张宝岭, 王西录, 徐兴平.高压封隔器密封胶筒的改进[J].石油矿场机械, 2009, 38(1):85-87. doi:10.3969/j.issn.1001-3482.2009.01.022 ZHANG Baoling, WANG Xilu, XU Xingping. Improvement of high pressure rubber barrel of packers[J]. Oil Field Equipment, 2009, 38(1):85-87. doi:10.3969/j.issn.1001-3482.2009.01.022 [76] 盛磊祥, 许亮斌, 蒋世全, 等.智能完井井下流量阀液压控制系统设计[J].石油矿场机械, 2012, 41(4):34-38. doi:10.3969/j.issn.1001-3482.2012.04.008 SHENG Leixiang, XU Liangbin, JIANG Shiquan, et al. Design of hydraulic control system for intelligent completion downhole flow valve[J]. Oil Field Equipment, 2012, 41(4):34-38. doi:10.3969/j.issn.1001-3482.2012.04.008 [77] 刘阳, 马兰荣, 郭朝辉, 等.自膨胀封隔器技术在完井作业中的应用[J].石油矿场机械, 2012, 41(3):76-81. doi:10.3969/j.issn.1001-3482.2012.03.022 LIU Yang, MA Lanrong, GUO Zhaohui, et al. Researches and applications on expandable packers in well completion[J]. Oil Field Equipment, 2012, 41(3):76-81. doi:10.3969/j.issn.1001-3482.2012.03.022 [78] 杨继峰, 赵永瑞, 赵莅龙, 等.智能完井流量控制设备技术及应用[J].石油矿场机械, 2013, 42(3):66-70. doi:10.3969/j.issn.1001-3482.2013.03.015 YANG Jifeng, ZHAO Yongrui, ZHAO Lilong, et al. Technologies and applications for inflow control equipments of intelligent well completion[J]. Oil Field Equipment, 2013, 42(3):66-70. doi:10.3969/j.issn.1001-3482.2013.03.015 [79] 张凤辉, 薛德栋, 徐兴安, 等.智能完井井下液压控制系统关键技术研究[J].石油矿场机械, 2014, 43(11):7-10. doi:10.3969/j.issn.1001-3482.2014.11.002 ZHANG Fenghui, XUE Dedong, XU Xing'an, et al. Study of key technologies of down hole hydraulic control system in intelligent well completion[J]. Oil Field Equipment, 2014, 43(11):7-10. doi:10.3969/j.issn.1001-3482.2014.11.002 [80] 贾礼霆, 何东升, 卢玲玲, 等.流量控制阀在智能完井中的应用分析[J].机械研究与应用, 2015, 28(1):18-21. doi:10.16576/j.cnki.1007-4414.2015.01.007 JIA Liting, HE Dongsheng, LU Lingling, et al. Application analysis of flow control valve in intelligent well completion[J]. Mechanical Research & Application, 2015, 28(1):18-21. doi:10.16576/j.cnki.1007-4414.2015.01.007 [81] 廖成龙, 黄鹏, 李明, 等.智能完井用井下液控多级流量控制阀研究[J].石油机械, 2016, 44(12):32-37. doi:10.16082/j.cnki.issn.1001-4578.2016.12.008 LIAO Chenglong, HUANG Peng, LI Ming, et al. Downhole hydraulic operated multistage flow control valve for intelligent well completion system[J]. China Petroleum Machinery, 2016, 44(12):32-37. doi:10.16082/j.cnki.issn.1001-4578.2016.12.008 [82] 柯珂, 王志远, 郑清华, 等.深水智能完井关键设备组合优化模型的建立与应用分析[J].中国海上油气, 2015, 27(1):79-85. doi:10.11935/j.issn.1673-1506.2015.01.013 KE Ke, WANG Zhiyuan, ZHENG Qinghua, et al. Estabishment of optimization model for key devices combination in deep water intelligent well completion and analysis for its application[J]. China Offshore Oil and Gas, 2015, 27(1):79-85. doi:10.11935/j.issn.1673-1506.2015.01.013 [83] 相恒富, 孙宝江, 李鹏飞.智能完井技术标准探析[J].钻采工艺, 2017, 40(2):52-55. doi:10.3969/J.ISSN.1006-768X.2017.02.16 XIANG Hengfu, SUN Baojiang, LI Pengfei. Discussion on standards for intelligent well completion[J]. Drilling & Production Technology, 2017, 40(2):52-55. doi:10.3969/J.ISSN.1006-768X.2017.02.16 [84] 尚凡杰.考虑井下流入控制阀可靠性的智能完井数值模拟方法[J].钻采工艺, 2019, 42(5):52-55. doi:10.3969/J.ISSN.1006-768X.2019.05.15 SHANG Fanjie. A simulation method for intelligent completion with consideration of icv reliabilit[J]. Drilling & Production Technology, 2019, 42(5):52-55. doi:10.3969/J.ISSN.1006-768X.2019.05.15 [85] 张华礼, 谢南星, 李少兵, 等.气井永置式井下压力温度监测技术及其应用展望[J].钻采工艺, 2005, 28(1):53-55. doi:10.3969/j.issn.1006-768X.2005.01.017 ZHANG Huali, XIE Nanxing, LI Shaobing, et al. The permanent downhole pressure & temperature monitoring technology in gas well[J]. Drilling & Production Technology, 2005, 28(1):53-55. doi:10.3969/j.issn.1006-768X.2005.01.017 [86] 沈泽俊, 张卫平, 钱杰, 等.智能完井技术与装备的研究和现场试验[J].石油机械, 2012, 40(10):67-71. doi:10.16082/j.cnki.issn.1001-4578.2012.10.018 SHEN Zejun, ZHANG Weiping, QIAN Jie, et al. Research on intelligent well system[J]. China Petroleum Machinery, 2012, 40(10):67-71. doi:10.16082/j.cnki.issn.1001-4578.2012.10.018 [87] 李天君, 吕春雷, 李发荣.智能技术优化油气生产[J].国外油田工程, 2009, 24(8):37-40. doi:10.3969/j.issn.2095-1493.2008.08.010 LI Tianjun, LÜ Chunlei, LI Farong. Optimizing oil and gas production by intelligent technology[J]. Foreign Oil Field Engineering, 2009, 24(8):37-40. doi:10.3969/j.issn.2095-1493.2008.08.010 [88] 韦红术, 张俊斌, 苏峰, 等.流花4-1油田深水模式钻完井关键技术创新及应用[M].东营:中国石油大学出版社, 2014. WEI Hongshu, ZHANG Junbin, SU Feng, et al. Innovation and application of key technologies of deep-water drilling and completion in Liuhua 4-1 Oilfield[M]. Dongying:China University of Petroleum Press, 2014. [89] 马英文, 邓建明, 赵少伟.海上老油田增产的工程技术发展方向探讨[J].钻采工艺, 2019, 42(4):110-111. doi:10.3969/J.ISSN.1006-768X.2019.04.32 MA Yingwen, DENG Jianming, ZHAO Shaowei. Discussion on development trend of offshore oilfield stimulation technology[J]. Drilling & Production Technology, 2019, 42(4):110-111. doi:10.3969/J.ISSN.1006-768X.2019.04.32 [90] 谭绍栩, 宋昱东, 王宝军, 等.渤海油田智能注水完井技术研究与应用[J].石油机械, 2019, 47(4):63-68. doi:10.16082/j.cnki.issn.1001-4578.2019.04.010 TAN Shaoxu, SONG Yudong, WANG Baojun, et al. Application of intelligent water injection and completion technology in Bohai Oilfield[J]. China Petroleum Machinery, 2019, 47(4):63-68. doi:10.16082/j.cnki.issn.1001-4578.2019.04.010 [91] 单彦魁, 韦红术, 张俊斌, 等.南海深水油田智能井修井挑战及对策[J].钻采工艺, 2017, 40(6):63-65. doi:10.3969/J.ISSN.1006-768X.2017.06.19 SHAN Yankui, WEI Hongshu, ZHANG Junbin, et al. Challenges and countermeasures for workover on deep-water smart well in South China Sea[J]. Drilling & Production Technology, 2017, 40(6):63-65. doi:10.3969/J.ISSN.1006-768X.2017.06.19 [92] 张亮, 李瑞丰, 刘景超, 等.智能完井技术地面控制系统研究[J].中国造船, 2019, 60(s1):426-433. doi:10.3969/j.issn.1000-4882.2019.z1.059 ZHANG Liang, LI Ruifeng, LIU Jingchao, et al. Research on ground control system in intelligent completion technology[J]. Shipbuilding of China, 2019, 60(s1):426-433. doi:10.3969/j.issn.1000-4882.2019.z1.059 [93] 马荣, 郭立宏, 李梦欣.新时代我国新型基础设施建设模式及路径研究[J].经济学家, 2019(10):58-65. MA Rong, GUO Lihong, LI Mengxin. The mode of transforming china into new infrastructure construction and its path design in the new era[J]. Economist, 2019(10):58-65. [94] 王利军, 刘传刚, 王丙刚, 等.海上油田水平井控水完井技术现状及发展趋势[J].石油矿场机械, 2017, 46(1):86-89. doi:10.3969/j.issn.1001-3482.2017.01.020 WANG Lijun, LIU Chuangang, WANG Binggang, et al. Status and development trend of horizontal well water-control completion technology for offshore oil field[J]. Oil Field Equipment, 2017, 46(1):86-89. doi:10.3969/j.issn.1001-3482.2017.01.020 [95] 韩大匡.关于高含水油田二次开发理念、对策和技术路线的探讨[J].石油勘探与开发, 2010, 37(5):583-591. HAN Dakuang. Discussions on concepts, countermeasures and technical routes for the redevelopment of high water-cut oilfields[J]. Petroleum Exploration and Development, 2010, 37(5):583-591. [96] 邹信波, 罗东红, 许庆华, 等.海上特高含水老油田挖潜策略与措施——以珠江口盆地陆丰凹陷LFD13-1油田为例[J].中国海上油气, 2012, 24(6):28-33, 37. ZOU Xinbo, LUO Donghong, XU Qinghua, et al. Some strategical measures to tap the potential in offshore mature oilfields with extra-high water cut:A case of LFD13-1 Field in Lufeng Depression, Pearl River Mouth Basin[J]. China Offshore Oil and Gas, 2012, 24(6):28-33, 37. [97] 江怀友, 沈平平, 李相方, 等.高含水期河道砂储层MRC技术应用机理研究[J].特种油气藏, 2008, 15(1):46-51. doi:10.3969/j.issn.1006-6535.2008.01.012 JIANG Huaiyou, SHEN Pingping, LI Xiangfang, et al. Application of MRC technology in channel sand reservoir in high water cut period[J]. Special Oil and Gas Reservoirs, 2008, 15(1):46-51. doi:10.3969/j.issn.1006-6535.2008.01.012 [98] 熊继有, 许红林, 徐坤吉, 等.提高油藏最终采收率的极大储层接触技术[J].钻采工艺, 2012, 35(1):10-13. doi:10.3969/J.1SSN.1006-768X.2012.01.04 XIONG Jiyou, XU Honglin, XU Kunji, et al. Extreme reservoir contact technology for enhanced ultimate oil recovery[J]. Drilling & Production Technology, 2012, 35(1):10-13. doi:10.3969/J.1SSN.1006-768X.2012.01.04 [99] 张卫东, 李国栋, 袁文奎, 等.极大储层接触技术研究进展及发展方向[J].石油钻探技术, 2010, 38(3):112-116. doi:10.3969/j.issn.1001-0890.2010.03.027 ZHANG Weidong, LI Guodong, YUAN Wenkui, et al. Research and development of extreme reservoir contact wells[J]. Petroleum Drilling Techniques, 2010, 38(3):112-116. doi:10.3969/j.issn.1001-0890.2010.03.027 [100] 贾虎, 邓力珲.基于流线聚类人工智能方法的水驱油藏流场识别[J].石油勘探与开发, 2018, 45(2):312-319. doi:10.11698/PED.2018.02.14 JIA Hu, DENG Lihui. Oil reservoir water flooding flowing area identification based on the method of streamline clustering artificial intelligence[J]. Petroleum Exploration and Development, 2018, 45(2):312-319. doi:10.11698/PED.2018.02.14 [101] 刘翔, 伊然, 周祥, 等.贝叶斯网络方法在气井完井方式优选中的应用[C].福州:全国天然气学术年会论文集, 2018. doi:10.26914/c.cnkihy.2018.002770 LIU Xiang, YI Ran, ZHOU Xiang, et al. Application of bayesian network method in optimization of gas well completion mode[J]. Fuzhou:Proceedings of the National Natural Gas Academic Annual Conference, 2018. doi:10.26914/c.cnkihy.2018.002770 [102] 赵辉, 姚军, 吕爱民, 等.利用注采开发数据反演油藏井间动态连通性[J].中国石油大学学报(自然科学版), 2010, 34(6):91-94, 98. doi:10.3969/j.issn.1673-5005.2010.06.017 ZHAO Hui, YAO Jun, LÜ Aimin, et al. Reservoir interwell dynamic connectivity inversion based on injection and production data[J]. Journal of China University of Petroleum, 2010, 34(6):91-94, 98. doi:10.3969/j.issn.1673-5005.2010.06.017 [103] 党文辉, 刘颖彪, 石建刚, 等.多节点智能完井技术研究与应用[J].石油机械, 2016, 44(3):12-17. doi:10.16082/j.cnki.issn.1001-4578.2016.03.003 DANG Wenhui, LIU Yingbiao, SHI Jiangang, et al. Research and application of multinode intelligent completion technology[J]. China Petroleum Machinery, 2016, 44(3):12-17. doi:10.16082/j.cnki.issn.1001-4578.2016.03.003 |
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