Volume 52 Issue 5
Nov.  2024
Turn off MathJax
Article Contents
Abstract
References
Related Articles
FENG Ding, WANG Jiangang, ZHANG Hong, et al. Application and prospect of digital twin in oil and gas drilling & completion engineering [J]. Petroleum Drilling Techniques, 2024, 52(5)：26−34. DOI: 10.11911/syztjs.2024095
Citation: FENG Ding, WANG Jiangang, ZHANG Hong, et al. Application and prospect of digital twin in oil and gas drilling & completion engineering [J]. Petroleum Drilling Techniques, 2024, 52(5)：26−34. DOI: 10.11911/syztjs.2024095
shu

Application and Prospect of Digital Twin in Oil and Gas Drilling & Completion Engineering

  • 1.

    School of Mechanical Engineering, Yangtze University, Jingzhou, Hubei, 434023, China

  • 2.

    College of Mechanical Engineering, Chongqing University of Technology, Chongqing, 400054, China

More Information
  • Received Date: February 21, 2023
  • Revised Date: August 07, 2024
  • Accepted Date: September 05, 2024
  • Available Online: September 06, 2024
    Graphical Abstract
    • Abstract

  • Digital twin has shown great potential in real-time data analysis, engineering design optimization, and equipment health diagnosis and has become a key technology for achieving the digital transformation development of the oil and gas industry and accelerating the next generation of technological innovation in the oil and gas industry. However, due to the imperfect software and hardware in drilling & completion engineering and the unclear research methods, the technology is still in the initial stage. On the basis of discussing the concept and technical characteristics of digital twin in the drilling & completion engineering of oil and gas fields, the latest application progress of digital twin in pre-drilling design, monitoring during drilling, and completion, and operation training of the drilling & completion engineering was introduced, and the application scheme of digital twin in drilling & completion engineering was proposed. The key technologies and methods of digital twin were discussed, and the problems existing in the application of digital twin in drilling & completion engineering and related industries were analyzed. In addition, some suggestions for the development of digital twin in the oil and gas industry were put forward. The results can provide a theoretical basis and method guidance for the application of digital twin in the oil and gas industry, so as to accelerate the digitization process of the oil and gas industry, improve the development efficiency of oil and gas fields, and promote the comprehensive construction of smart oil fields.

    • FullText(HTML)
    • References (43)
  • [1]
    FEDER J. Will this be the decade of full digital twins for well construction?[J]. Journal of Petroleum Technology, 2021, 73(3): 34–37. doi: 10.2118/0321-0034-JPT
    [2]
    SAID M M, PILGRIM R, RIDEOUT G, et al. Theoretical development of a digital-twin based automation system for oil well drilling rigs[R]. SPE 208902, 2022.
    [3]
    贾承造. 中国石油工业上游发展面临的挑战与未来科技攻关方向[J]. 石油学报,2020,41(12):1445–1464. doi: 10.7623/syxb202012001

    JIA Chengzao. Development challenges and future scientific and technological researches in China's petroleum industry upstream[J]. Acta Petrolei Sinica, 2020, 41(12): 1445–1464. doi: 10.7623/syxb202012001
    [4]
    GLAESSGEN E, STARGEL D. The digital twin paradigm for future NASA and U. S. air force vehicles[C]//53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Reston: American Institute of Aeronautics and Astronautics, 2012: AIAA 2012–2018.
    [5]
    ZBOROWSKI M. Finding meaning, application for the much-discussed “digital twin”[J]. Journal of Petroleum Technology, 2018, 70(6): 26–32. doi: 10.2118/0618-0026-JPT
    [6]
    陶飞,张贺,戚庆林,等. 数字孪生模型构建理论及应用[J]. 计算机集成制造系统,2021,27(1):1–15.

    TAO Fei, ZHANG He, QI Qinglin, et al. Theory of digital twin modeling and its application[J]. Computer Integrated Manufacturing Systems, 2021, 27(1): 1–15.
    [7]
    QI Qinglin, TAO Fei, HU Tianliang, et al. Enabling technologies and tools for digital twin[J]. Journal of Manufacturing Systems, 2021, 58(Part B): 3–21.
    [8]
    WANG Mengmeng, WANG Chengye, HNYDIUK-STEFAN A, et al. Recent progress on reliability analysis of offshore wind turbine support structures considering digital twin solutions[J]. Ocean Engineering, 2021, 232: 109168. doi: 10.1016/j.oceaneng.2021.109168
    [9]
    李德仁. 基于数字孪生的智慧城市[J]. 互联网天地,2021(7):12.

    LI Deren. Smart city based on digital twins[J]. China Internet, 2021(7): 12.
    [10]
    胡春宏,郭庆超,张磊,等. 数字孪生流域模型研发若干问题思考[J]. 中国水利,2022(20):7–10. doi: 10.3969/j.issn.1000-1123.2022.20.012

    HU Chunhong, GUO Qingchao, ZHANG Lei, et al. Thinking on some problems in the development of professional models for digital twin basins[J]. China Water Resources, 2022(20): 7–10. doi: 10.3969/j.issn.1000-1123.2022.20.012
    [11]
    杨传书. 数字孪生技术在钻井领域的应用探索[J]. 石油钻探技术,2022,50(3):10–16. doi: 10.11911/syztjs.2022068

    YANG Chuanshu. Exploration for the application of digital twin technology in drilling engineering[J]. Petroleum Drilling Techniques, 2022, 50(3): 10–16. doi: 10.11911/syztjs.2022068
    [12]
    张好林,杨传书,李昌盛,等. 钻井数字孪生系统设计与研发实践[J]. 石油钻探技术,2023,51(3):58–65. doi: 10.11911/syztjs.2023011

    ZHANG Haolin, YANG Chuanshu, LI Changsheng, et al. Design and research practice of a drilling digital twin system[J]. Petroleum Drilling Techniques, 2023, 51(3): 58–65. doi: 10.11911/syztjs.2023011
    [13]
    WEYER S, MEYER T, OHMER M, et al. Future modeling and simulation of CPS-based factories: an example from the automotive industry[J]. IFAC-PapersOnLine, 2016, 49(31): 97–102. doi: 10.1016/j.ifacol.2016.12.168
    [14]
    TAO Fei, ZHANG He, LIU Ang, et al. Digital twin in industry: state-of-the-art[J]. IEEE Transactions on Industrial Informatics, 2019, 15(4): 2405–2415. doi: 10.1109/TII.2018.2873186
    [15]
    MACPHERSON J. Technology focus: drilling systems automation and management[J]. Journal of Petroleum Technology, 2020, 72(2): 60. doi: 10.2118/0220-0060-JPT
    [16]
    FEDER J. Upstream digitalization is proving itself in the real world[J]. Journal of Petroleum Technology, 2020, 72(4): 26–28. doi: 10.2118/0420-0026-JPT
    [17]
    FEDER J. BHA-design approach improves drilling performance and wellbore quality[J]. Journal of Petroleum Technology, 2020, 72(12): 57–58. doi: 10.2118/1220-0057-JPT
    [18]
    IMOMOH V B, TOYOBO O, OKAFOR R. Creating a digital twin of part of the earth subsurface through reservoir navigation service[R]. SPE 203621, 2020.
    [19]
    WEI Li, PU Ding, HUANG Min, et al. Applications of digital twins to offshore oil/gas exploitation: from visualization to evaluation[J]. IFAC-PapersOnLine, 2020, 53(5): 738–743. doi: 10.1016/j.ifacol.2021.04.166
    [20]
    BHOWMIK S, NAIK H. Subsea structure and pipeline design automation using digital field twin[R]. OTC 30909, 2020.
    [21]
    ISBELL M R, MANOCHA M R, MANGOLD B R, et al. A novel use of digital technologies for more effective multi-party well planning and execution[R]. SPE 204050, 2021.
    [22]
    NADHAN D, MAYANI M G, ROMMETVEIT R. Drilling with digital twins[R]. SPE 191388, 2018.
    [23]
    郭永峰. 国际巨头应用“数字孪生体”技术降低油气开采成本[J]. 中国石油企业,2021(7):68–69.

    GUO Yongfeng. International giants apply “digital twin” technology to reduce oil and gas extraction costs[J]. China Petroleum Enterprise, 2021(7): 68–69.
    [24]
    FERRARA P, MACCARINI G R, POLONI R, et al. Virtual reality: new concepts for virtual drilling environment and well digital twin[R]. IPTC 20267, 2020.
    [25]
    DOUGLAS A, RIOS V. How to achieve project and operational certainty using a digital twin[R]. SPE 195766, 2019.
    [26]
    BURRAFATO S, MALIARDI A, FERRARA P, et al. Virtual reality in D & C: new approaches towards well digital twins[R]. OMC 2019-1240, 2019.
    [27]
    孙巧雷,冯定,刘旭辉,等. 油气装备新进展课程案例教学设计与实践:以海上“蓝鲸1号”半潜式钻井平台为例[J]. 中国现代教育装备,2023,13:137–139.

    SUN Qiaolei, FENG Ding, LIU Xuhui, et al. The case teaching design and practice of advance of oil field equipment: taking the offshore semi-submersible drilling and production platform "Blue Whale-1" as an example[J]. China Modern Educational Equipment, 2023, 13: 137–139.
    [28]
    FEDER J. Recovering more than 70% from the Johan Sverdrup Field[J]. Journal of Petroleum Technology, 2020, 72(9): 62–63. doi: 10.2118/0920-0062-JPT
    [29]
    FEDER J. Data exchange and collaboration realize automated drilling control potential[J]. Journal of Petroleum Technology, 2021, 73(2): 47–48. doi: 10.2118/0221-0047-JPT
    [30]
    KARPOV R B, ZUBKOV D Y, MURLAEV A V, et al. Drilling performance and data quality control with live digital twin[R]. SPE 206527, 2021.
    [31]
    SHI Jibin, DOURTHE L, LI D, et al. Real-time reamer vibration predicting, monitoring, and decision-making using hybrid modeling and a process digital twin[R]. SPE 208795, 2022.
    [32]
    SHIRANGI M G, FURLONG E, SIMS K S. Digital twins for well planning and bit dull grade prediction[R]. SPE 200740, 2020.
    [33]
    ARÉVALO P J, HUMMES O, FORSHAW M. Integrated real-time simulation in an earth model–automating drilling and driving efficiency[R]. SPE 204069, 2021.
    [34]
    GAO Zhuo, HYDER S Z. Using autonomous control to stabilize well performance without the downhole pressure gauge[R]. SPE 211042, 2022.
    [35]
    KALININ O, ELFIMOV M, BAYBOLOV T. Exploration drilling management system based on digital twins technology[R]. SPE 205994, 2021.
    [36]
    JEFFERY C, CREEGAN A. Adaptive drilling application uses AI to enhance on-bottom drilling performance[J]. Journal of Petroleum Technology, 2020, 72(8): 45–47. doi: 10.2118/0820-0045-JPT
    [37]
    dos SANTOS M V, DUARTE ROSA R M, de OLIVEIRA L A , et al. Development and deployment of digital twin for production and well integrity[R]. SPE 210260, 2022.
    [38]
    ARÉVALO P J, FORSHAW M, STAROSTIN A, et al. Monitoring hole-cleaning during drilling operations: case studies with a real-time transient model[R]. SPE 210244, 2022.
    [39]
    REYES R A, MACHADO M, TORRE M, et al. Digital wellhead integrated system for production management[R]. SPE 211158, 2022.
    [40]
    KUCUKCOBAN S, KLUK D J, PESTANA R G, et al. A digital twin for computing dynamic watch circles on a dynamically positioned MODU[R]. OTC 31709, 2022.
    [41]
    RODRIGUEZ D, CLARE P, SRIKONDA R, et al. Stampede digital twin: an advanced solution for process equipment condition monitoring[R]. SPE 210106, 2022.
    [42]
    WU Bo, KOU Yufeng, LIU Jun, et al. Research on the application of digital twin technology in the structural safety assessment of deep-water semi-submersible platforms[R]. ISOPE I-22-296, 2022.
    [43]
    CARPENTER C. Johan Sverdrup’s digital operations drive efficiency, safety[J]. Journal of Petroleum Technology, 2020, 72(9): 67–68. doi: 10.2118/0920-0067-JPT
    • Related Articles

  • Related Articles

    [1]HUANG Zhe, ZHANG Weiqiang, WU Zhonghua. Status and Development Trend of Digital Bit Technologies[J]. Petroleum Drilling Techniques, 2024, 52(5): 124-129. DOI: 10.11911/syztjs.2024086
    [2]SONG Xianzhi, LI Gensheng, ZHU Zhaopeng, MA Baodong, ZHANG Ziyue. Research Status and Development Trend of Drilling Digital Twin Technology[J]. Petroleum Drilling Techniques, 2024, 52(5): 10-19. DOI: 10.11911/syztjs.2024096
    [3]NIE Zhen, XIA Zhaohui, WU Bohong, HUANG Xueqin. Status and the Future Perspective of Drilling Engineering Technologies in Middle East Carbonate Reservoirs[J]. Petroleum Drilling Techniques, 2024, 52(1): 8-16. DOI: 10.11911/syztjs.2023103
    [4]SUN Bingxiang. Reflections and Practices on the Development of Petroleum Engineering Standardization[J]. Petroleum Drilling Techniques, 2023, 51(3): 152-158. DOI: 10.11911/syztjs.2023071
    [5]JIANG Haijun, GENG Lidong, WANG Xiaohui, GUANG Xinjun. Carbon Emission Reduction Technologies and Operation Management in Petroleum Engineering Abroad: Up-to-Date Status and Implications[J]. Petroleum Drilling Techniques, 2022, 50(5): 125-134. DOI: 10.11911/syztjs.2022070
    [6]ZHANG Jinhong. Present Status and Development Prospects of Sinopec Shale Oil Engineering Technologies[J]. Petroleum Drilling Techniques, 2021, 49(4): 8-13. DOI: 10.11911/syztjs.2021072
    [7]YUAN Guangjie, ZHANG Hong, JIN Gentai, XIA Yan. Current Status and Development Suggestions in Drilling and Completion Technology of Underground Gas Storage in China[J]. Petroleum Drilling Techniques, 2020, 48(3): 1-7. DOI: 10.11911/syztjs.2020041
    [8]LI Gensheng, SONG Xianzhi, TIAN Shouceng. Intelligent Drilling Technology Research Status and Development Trends[J]. Petroleum Drilling Techniques, 2020, 48(1): 1-8. DOI: 10.11911/syztjs.2020001
    [9]ZHANG Jinhong. Current Status and Outlook for the Development of Sinopec’s Petroleum Engineering Technologies[J]. Petroleum Drilling Techniques, 2019, 47(3): 9-17. DOI: 10.11911/syztjs.2019061
    [10]YANG Zhiguang. The Latest Proposals for the Advancement and Development of Drilling and Completion Technology in the Daqing Oilfield[J]. Petroleum Drilling Techniques, 2016, 44(6): 1-10. DOI: 10.11911/syztjs.201606001

  • Cited by

    Periodical cited type(4)

    1. 冯国良，刘哲，贺泽阳，叶志强. 基于三维复合冲击的延长气田钻井钻进参数自动控制技术. 自动化技术与应用. 2023(07): 47-49+90 .
    2. 张玉霖，郭闯，尚捷，杨恒灿，菅志军，尚成嘉. 随钻仪器钻铤的断裂失效分析. 中国冶金. 2022(09): 37-44 .
    3. 周永宽，康嘉杰，岳文，付志强，朱丽娜，张晓惠. 不同载荷对HVOF喷涂AlCoCrFeNi高熵合金涂层摩擦学性能的影响. 表面技术. 2022(10): 185-191+327 .
    4. 季科，郭健翔，毕学军，孙晋飞，刘益民，许征，刘冰冰. 高温干热岩采热系统钻探技术研究进展. 科学技术与工程. 2021(28): 11900-11909 .

    Other cited types(0)

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (232) PDF downloads (153) Cited by(4)
    Related

    Supervisor：SINOPEC GROUP

    Sponsor：Sinopec Research Institute of Petroleum Engineering

    Serial Number：CN 11-1763/TE, ISSN 1001-0890

    Chief Editor： WANG Minsheng

    Vice Chief Editor：LIU Xiushan, ZHOU Shiming, CHEN Zuo, YE Haichao,
    CHEN Huinian

    Address：Sinopec Science and Technology Research Center, No.197 Baisha Road, Changping District, Beijing, China

    Tel：010-56606846, 56606847, 56606848, 56606849, 56606850

    E-mail：syzt@vip.163.com

    Copyright © 2009《Petroleum Drilling Techniques 》 All Rights Reserved.

    京公网安备 11010502036328号 京ICP备17033152号

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return