[1] 工业互联网产业联盟. 边缘计算参考架构2.0[EB/OL]. (2018-01-30) [2023-08-28].http://www.kongzhi.net/news/details_162467.html.
Alliance of Induetrial Internet. Configuration 2.0 for reference of edge computing[EB/OL]. (2018-01-30) [2023-08-28]. http://www.kongzhi.net/news/details_162467.html.
[2] BP energy outlook (2018)[EB/OL]. (2018-09-04)[2023-08-28]. https://www.bp.com.cn/content/dam/bp/country-sites/ zh_cn/china/home/reports/bp-technology-outlook/2018/to-2018.pdf.
[3] 能源领域的人工智能和大数据创新[C]. 北京: 第九届道达尔中国科学论坛, 2018.
Artificial intelligence and big data innovation in energy field[C]. Beijing: 9th Total China Science Forum, 2018.
[4] 贾爱林, 郭建林. 智能化油气田建设关键技术与认识[J]. 石油勘探与开发, 2012, 39(1): 118-122.
Jia Ailin, Guo Jianlin. Key technologies and understandings on the construction of smart fields[J]. Petroleum Exploration and Development, 2012, 39(1): 118-122.
[5] 赵昊, 李英韬, 王春才. 基于国密算法的数据加解密技术在油井作业现场的应用[J]. 长春理工大学学报( 自然科学版), 2014, 37(2): 108-113.
Zhao Hao, Li Yingtao, Wang Chuncai. Application of code technique in oil well site based on the SM1 and SM2 cryptographic algorithm[J]. Journal of Changchun University of Science and Technology, 2014, 37(2): 108-113.
[6] BP publishes annual report and accounts for 2017[EB/OL]. (2018-03-29)[2023-07-28]. https://www.automotiveworld.com/newsreleases/bp-publishes-annual-report-accounts-2017/.
[7] 刘合. 为数智中国石油建设赋能[J]. 中国石油石化, 2023(7): 16-19. Liu He. Empower PetroChina with digitalization and intelligence[J]. China Petrochem, 2023(7): 16-19.
[8] 刘合. 油气行业上游数字化转型的思考与建议[EB/OL]. (2023-04-17)[2023-08-28]. https://www.mss.org.cn/ managesinfo_948.html.
Liu He. Thinking and suggestions on oil and gas industrial upstream digital transition[EB/OL]. (2023-04-17)[2023-08-28]. https://www.mss.org.cn/ managesinfo_948.html.
[9] 汤林, 龚仁彬, 班兴安, 等. 油气生产物联网关键技术研究及规模化应用[J]. 中国科技成果, 2020, 21(8): 64-66.
Tang Lin, Gong Renbin, Ban Xingan, et al. Study of key IOT technology for oil and gas production and its large-scale application[J]. China Science and Technology Achievements, 2020, 21(8): 64-66.
[10] 李剑峰. 油气工业数字化智能化发展趋势[J]. 石油科技论坛, 2023, 42(3): 10-21.
Li Jianfeng. Digital and intelligent development trend of oil and gas industry[J]. Petroleum Science and Technology Forum, 2023, 42(3): 10-21.
[11] 刘合. 油气勘探开发数字化转型 人工智能应用大势所趋[J]. 石油科技论坛, 2023, 42(3): 1-9, 47.
Liu He. Digital transformation of oil and gas exploration and development; Unstoppable artificial intelligence application[J]. Petroleum Science and Technology Forum, 2023, 42(3): 1-9, 47. |