Research and Contemplation on How to Build Old Oilfields into Digital Intelligent Ones-- Take Dagang Oilfield for Example

doi:10.3969/j.issn.1002-302x.2021.05.001

Abstract

Abstract: The digital upsurge is profoundly influencing and restructuring global industrial pattern thanks to extensive application of such technologies as artificial intelligence, block chains, cloud computing, big data and edge computing. To consolidate their positions in the future energy world, the old oilfields should keep themselves with the digital tide and make efforts for construction of digital and intelligent oilfields, accelerating their transformation and upgrading for high-quality development. Dagang Oilfield has taken the following measures in its efforts for construction of digital and intelligent oilfield: (1) It made the plans in advance and optimized the top-level design. Oriented at the problems and based on the “421” planning principle (namely ecological configuration at four levels, two security systems and one development prospect), the oilfield clarified the general goal – the ecologically operating system of the digital and intelligent oilfield characterized in digitalization, automation, integration,free from paper, intelligence and flatness. (2) It made the detailed implementation plans and optimized the operation situation, including the intelligence-study situation synergize exploration and development, the intelligence controlling situation for on-the-site services, the intelligence regulating situation for production and operation, and the intelligence analyzing situation for making business decisions, while identifying the implementation route, locating the projects for implementation and consolidating the data basis. (3) The oilfield kept itself abreast of the times enhanced the driving force for innovation. It continually strengthened the efforts for application of new technology, development of independent products, and innovation of management pattern. It took a series of measures in preparation for organization, mechanism, fund and talents, thus promoting information progress and injecting vigor and energy into the old oilfield for solving new problems, making new breakthroughs and bringing about new development in the new times.

Key words: old oilfield, , digital and intelligent oilfield, , digitalization, , intelligence, , high-quality development

摘要： 随着人工智能、区块链、云计算、大数据、边缘计算等技术的普及应用，数字化浪潮正在深刻影响并重塑全球工业格局。老油田要在未来能源世界中立足，应从提高认识入手，主动顺应数字化潮流，开展数智油田建设，推进企业转型升级高质量发展。大港油田在数智油田建设中：（1）坚持规划先行，优化顶层设计。始终以问题为导向，按照“421”规划思路，明确总体目标，即全面建成以“六化”为标志的数智油田生态运营体系。（2）坚持以点带面，细化方案部署。优选实施场景，包括勘探开发协同智能研究场景、作业现场智能监控场景、生产运行智能管控场景、经营管理决策智能分析场景等，明确实施路径，精选实施项目，夯实数据基础。（3）坚持与时俱进，强化创新驱动。不断加大新技术应用力度、自主产品培育力度、管理模式创新力度。做好组织、机制、资金、人才方面的保障措施，推动信息进步，为老油田在新时代破解新难题、取得新突破、实现新发展注入新的活力和动能。

关键词: 老油田, 数智油田, 数字化, 智能化, 高质量发展

CLC Number:

Zhao Xianzheng, Wang Hongyu, Liu Jichao, Lai Jishun. Research and Contemplation on How to Build Old Oilfields into Digital Intelligent Ones-- Take Dagang Oilfield for Example[J]. Oil Forum, 2021, 40(5): 1-8.

赵贤正　王洪雨　刘计超　赖纪顺. 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.

References

[1]　莫驰,向永胜,梁煜华,等.数智化转型与企业高质量发展研究[J].中国经贸导刊(中),2021(3):136-137. Mo Chi, Xiang Yongsheng, Liang Yuhua, et al. The research on digital intellectualize transconformation and high quality development of enterprises[J]. China Economic & Trade Herald,2021(3):136-137.
[2]　傅强.浅谈油田数字化智慧化[J].内蒙古石油化工,2020,46(9):44-45. Fu Qiang. Analysis on the digitalize and intellectualize of oil field[J]. Inner Mongolia Petrochemical Industry,2020,46(9):44-45.
[3]　马涛,许增魁,常冠华,等.数字、智能与智慧油气田价值模型[J].信息技术与标准化,2020(12):58-63. Ma Tao, Xu Zengkui, Chang Guanhua, et al. Value model of digital, intelligent and smart oil and gas field [J]. Information Technology & Standardization, 2020(12):58-63.
[4]　韩建旭.习近平关于网络强国的重要思想研究[D].北京:中央财经大学,2019. Han Jianxu. The research on Xi Jinping’s strategic thinking for cyber development[D]. Beijing:Central University of Finance and Economics,2019.
[5]　蒋博文.新时代网络强国战略的提出背景、主要内容与价值意义[J].山东社会科学,2021(1):188-192. Jiang Bowen. The background, main content and value of the strategy of cyber development in the new era[J]. Shandong Social Sciences,2021(1):188-192.
[6]　房桃峻.机遇与挑战:论“数字福建”对我省企业的影响[J].东南学术,2020(2):98-102. Fang Taojun. Both opportunities and challenges:analysis on the impact of “Data Fujian” on enterprises in our province[J]. Southeast Academic Research,2020(2):98-102.
[7]　习近平.在第二届世界互联网大会开幕式上的讲话[J].中国信息安全,2016(1):24-27. Xi Jinping. Speech at the opening ceremony of the Second World Internet Conference[J]. China Information Security, 2016(1):24-27.
[8]　王震,张安.落实国家创新驱动发展战略,推动油气行业高质量发展[J].石油科技论坛,2020,39(2):6-12. Wang Zhen, Zhang An. Implement national innovation-driving development strategy; accelerate high-quality oil and gas industrial development [J]. Petroleum Science and Technology Forum,2020,39(2):6-12.
[9]　何盛宝,王红秋.新形势下我国化工行业发展的几点思考[J].石油科技论坛,2020,39(2):13-20. He Shengbao, Wang Hongqiu. Opinions on China’s chemical industrial development against new situation[J]. Petroleum Science and Technology Forum,2020,39(2）:13-20.
[10] 杨丹丹,李烈,刘有超.油气企业数字化转型的现状与对策浅析[J].天然气与石油,2021,39(2):118-123. Yang Dandan, Li Lie, Liu Youchao. Analysis on the status quo and countermeasures of digital transformation of oil and gas enterprises[J]. Natural Gas and Oil,39(2):118-123.
[11] 吕建中,王洪涛,刘合,等.创新与合作推进油气行业能源转型：第12届国际石油技术大会会议综述[J].世界石油工业,2020, 27(2):1-5. Lv Jianzhong, Wang Hongtao, Liu He, et al. Innovation and cooperation to promote energy transformation in the oil and gas industry--Summary of the 12th international petroleum technology conference[J].World Petroleum Industry,2020,27(2): 1-5.
[12] 宫立新.打造大数据时代能源行业利益共同体[J].北京石油管理干部学院学报,2020,27(1):39-47. Gong Lixin. Creating an Interest community of the age of big data for energy[J]. Journal of Beijing Petroleum Managers Training Institute,2020,27(1):39-47.
[13] 刘顺春.“共享中国石油”中的数据治理体系研究[J].北京石油管理干部学院学报,2019,26(6):21-29. Liu Shunchun. The research on data governance system in “CNPC Sharing”[J].Journal of Beijing Petroleum Managers Training Institute,2019,26(6):21-29.
[14] 戴厚良.以数字化转型驱动油气产业高质量发展[J].中国产经,2021(2):70-72. Dai Houliang. High quality development of oil and gas industry driven by digital transformation[J].Chinese Industry & Economy,2021(2):70-72.
[15] 杨剑锋,杜金虎,杨勇,等.油气行业数字化转型研究与实践[J].石油学报,2021,42(2):248-258. Yang Jianfeng, Du Jinhu, Yang Yong, et al. Research and practice on digital transformation of the oil and gas industry[J]. Acta Petrolei Sinica,2021,42(2):248-258.
[16] 杜金虎,时付更,张仲宏,等.中国石油勘探开发梦想云研究与实践[J].中国石油勘探,2020,25(1):58-66. Du Jinhu, Shi Fugeng, Zhang Zhonghong, et al. Research and practice of Dream Cloud for petroleum exploration and development of PetroChina[J]. China Petroleum Exploration, 2020, 25(1):58-66.
[17] 石倩茹,韩国猛,董越崎,等.梦想云平台在歧口凹陷成熟区精细勘探中的应用[J].中国石油勘探,2020,25(5): 64-70. Shi Qianru, Han Guomeng, Dong Yueqi, et al. Application of E&P dream cloud platform in fine exploration in mature area of the Qikou sag[J]. China Petroleum Exploration,2020,25(5): 64-70.
[18] 李国欣,王峰,皮学军,等.非常规油气藏地质工程一体化数据优化应用的思考与建议[J].中国石油勘探,2019, 24(2):147-152. Li Guoxin, Wang Feng, Pi Xuejun, et al. Optimized application of geology-engineering integration data of unconventional oil and gas reservoirs[J]. China Petroleum Exploration,2019,24(2):147-152.