机采系统数字化技术研究与发展建议

doi:10.3969/j.issn.1002-302x.2022.03.005

摘要/Abstract

摘要： 随着油田开发进入中后期，低产井、低效井逐年增多，管理工作愈发繁重，机采系统的数字化、智能化转型升级是实现节能高效生产的必然选择。文章介绍了中国石油机采系统生产情况及数字化技术现状、机采物联网系统主要组成部分，梳理了当前重点建设的抽油机井示功图模式、抽油机井电参数模式、无杆泵井多参数模式，分析了机采系统优化设计技术及智能调控技术的进展及适用性。根据油田生产情况、机采方式等提出发展建议：（1）形成抽油机以电参数为主、无杆泵以多参数为主的机采井数字化建设模式；（2）形成以把控数据质量、深入挖掘数据价值为核心的机采数据深度应用方案；（3）加快形成机采井低成本智能控制体系等。机采系统数字化技术助力破解低产低效难题，有效提高了精细化生产水平和管理效率。

关键词: 机采系统, 采油工程, 数字化, 智能化, 物联网, 抽油机井, 节能高效

Abstract: The low-yield wells and low-efficiency wells are on the rise year by year after the oilfields enter their middle and later development periods. The management work will become more complicated at the same time. Digitalization and intelligent transformation of the mechanical recovery system is an inevitable option for energy saving and high-efficiency production. This paper briefs about PetroChina’s current conditions of mechanical recovery system and digitalization technology as well as the main integral parts of mechanical production IOT. It also elaborates on the work-showing map pattern of a pumping well, a key project constructed at the present time, the electricity parameter pattern of a pumping well and the multi-parameter pattern of a rodless pumping well. The paper analyzes development and adaptability of mechanical production system optimization technology and intelligent adjustment control technology. Based on production at the oilfields, this paper comes up with some suggestions on mechanical recovery methods: (1) The method for pumping well digitalization should be based on the electric parameter-focused pumping units and multiple parameters-focused rodless pumping units. (2) The plan for in-depth application of mechanical recovery data should be centered on control over data quality and study of data value. (3) It is necessary to accelerate the cost-effective and intelligent control system for pumping wells. Digitalization technology of the mechanical recovery system can help solve the bottlenecks of low production and low efficiency, effectively improving the fine production level and management efficiency.

中图分类号:

杨能宇　孙艺真　赵捍军　赵瑞东　张喜顺　王才　师俊峰　陈诗雯　陈冠宏. 机采系统数字化技术研究与发展建议[J]. 石油科技论坛, 2022, 41(3): 35-42.

Yang Nengyu, Sun Yizhen, Zhao Hanjun, Zhao Ruidong, Zhang Xishun, Wang Cai, Shi Junfeng, Chen Shiwen, Chen Guanhong. Suggestions on Research and Development of Mechanical Recovery Digitalization Technology[J]. Petroleum Science and Technology Forum, 2022, 41(3): 35-42.

参考文献

[1]　SPE. Artificial lift[EB/OL].(2017-04-30)[2021-12-05]. https://petrowiki.spe.org/Artificial_ lift.
[2]　中国海油数字化先锋营.14万口数字化油气井,中石油是如何做到的[EB/OL].(2019-07-23)[2021-11-30]. http://www.oilsns.com/article/411884.
CNOOC Digital Pioneer Camp. 140000 digital oil and gas wells, how CNPC did it[EB/OL]. (2019-07-23)[2021-11-30]. http://www.oilsns.com/article/411884.
[3]　侯宇, 张凯波, 王洋, 等.国内外机采井自动控制技术进展及发展趋势[C]//2021国际石油石化技术会议论文集,2021.IPPTC-20219233.
Hou Yu, Zhang Kaibo, Wang Yang, et al. Technical status and trend of lifting automation technology on mechanical wells[C]// Proceedings of the 2021 International Petroleum and Petrochemical Technology Conference.Beijing, 2021. IPPTC-20219233.
[4]　杨东生, 崔博.传感器在油气生产物联网中的应用[J].通信管理与技术, 2013(2):17-18,21.
Yang Dongsheng, Cui Bo. Application of sensors in the internet of things for oil and gas production[J]. Communications Management and Technology,2013(2):17-18,21.
[5]　Gibbs S G, Neely A B. Computer diagnosis of down-hole conditions in sucker rod pumping wells[J]. Journal of Petroleum Technology, 1966,18(1):91-98.
[6]　张凯波.机采井智能采油技术研究进展及趋势[J].中外能源, 2021,26(9):45-51.
Zhang Kaibo. Research progress and trend of intelligent lifting technology for mechanical recovery wells[J].Sino-Global Energy, 2021,26(9):45-51.
[7]　张建军, 师俊峰, 赵瑞东.油气井生产系统优化设计与诊断决策软件(PetroPE)V1.0[J].石油科技论坛, 2013,32(5):55-57,60.
Zhang Jianjun, Shi Junfeng, Zhao Ruidong. Optimized design of oil and gas well production system and diagnostic and decision-making software (PetroPE) V1.0[J]. Oil Forum,2013,32(5):55-57,60.
[8]　吴晓东, 张建军, 韩国庆, 等.油气井生产系统优化设计与诊断决策软件[J].西安石油大学学报(自然科学版),2015,30(1):105-110.
Wu Xiaodong, Zhang Jianjun, Han Guoqing, et al. Oil and gas well production system optimization design and diagnostic decision software[J]. Journal of Xi’an Shiyou University (Natural Science Edition), 2015,30(1):105-110.
[9]　高志亮, 梁宝娟.数字油田在中国：油田物联网技术与进展[M].北京:科学出版社,2016:39-59.
Gao Zhiliang, Liang Baojuan. Digital oilfield in China technology and development of network oilfield[M].Beijing: Science Press,2016:39-59.
[10] Gibbs S G. Utility of motor-speed measurements in pumping-well analysis and control[J]. SPE Production Engineering, 1984, 2(3):199-208.
[11] 冯国强, 谢雄, 韩岐清, 等.抽油机井系统动态实时分析模型[J].中国石油大学学报(自然科学版),2010,34(4):84-87.
Feng Guoqiang, Xie Xiong, Han Qiqing, et al. Real-time analysis model of rod-pumped well system performance[J].Journal of China University of Petroleum (Natural Science Edition),2010,34(4): 84-87.
[12] 陈培毅, 姚春东, 董世民, 等.基于抽油机实测电功率的悬点示功图仿真模型[J].石油机械,2013,41(11): 91-95.
Chen Peiyi, Yao Chundong, Dong Shimin, el al. Simulation model of polished rod indicator diagram based on measured electrical power of pumping unit[J]. China Petroleum Machinery,2013,41(11): 91-95.
[13] 张喜顺, 吴晓东, 吴迪, 等. 利用实测功率曲线预测下偏杠铃抽油机示功图[J].石油矿场机械,2012,41(12):3.
Zhang Xishun, Wu Xiaodong, Wu Di, et al. Predicting dynamometer card of downward barbell pumping unit using measured power cure[J]. Oil Field Equipment,2012,41(12):3.
[14] 曹刚, 杨清海, 任义丽, 等. 五大信息技术在油气行业数字化转型中的应用探讨[J].石油科技论坛, 2020,39(6):27-36.
Cao Gang, Yang Qinghai, Ren Yili, et al. Discuss application of five main information technologies in oil and gas industrial digital transformation[J]. Petroleum Science and Technology Forum, 2020,39(6):27-36.
[15] 赵贤正, 王洪雨, 刘计超, 等.老油田实施数智油田建设研究与思考：以大港油田为例[J].石油科技论坛, 2021,40(5):1-8.
Zhao Xianzheng, Wang Hongyu, Liu Jichao, et al. Research and contemplation on how to build old oilfields into digital intelligent ones--Take Dagang Oilfield for example[J]. Petroleum Science and Technology Forum,2021,40(5):1-8.
[16] 孙万里, 王陆阳.数字化抽油机在长庆油田采油作业中的应用[J].中国石油和化工标准与质量,2019,39(3): 114-115.
Sun Wanli, Wang Luyang. Application of digital pumping machine in oil recovery operations in Changqing oilfield[J]. China Petroleum and Chemical Standard and Quality,2019,39(3):114-115.
[17] 白文雄, 白青, 李茂, 等.数字化抽油机的研制与应用[J].油气田地面工程,2013,32(12):149-150.
Bai Wenxiong, Bai Qing, Li Mao, et al. Development and application of digital oil pumping machine[J]. Oil-Gas Field Surface Engineering, 2013,32(12):149-150.
[18] 戚兴, 师国臣, 孙春龙, 等. 不停机密集间抽技术研究[C] //2018油气田勘探与开发国际会议论文集,2018:241-248.
Qi Xing, Shi Guochen, Sun Chunlong, et al. Research of non-stop multiple intermittent operation for beam pumping unit[C]// Proceedings of the 2018 International Field Exploration and Development Conference,2018:241-248.
[19] 黄大勇, 唐坤利, 李旭, 等.大平台采油数字化智能控制橇的研究与应用[J].智能制造,2021(S1):94-98.
Huang Dayong, Tang Kunli, Li Xu, et al. Research and application of digital intelligent control skid for large platform oil recovery[J]. Intelligent Manufacturing,2021(S1):94-98.