| [1] 岳小文, 孔令峰, 刘秀如, 等. 石油公司油气与新能源融合发展路径与实践探索[J]. 石油科技论坛, 2023, 42(2): 75-81. Yue Xiaowen, Kong Lingfeng, Liu Xiuru, et al. Path of oil and gas development in integration with new energy for oil companies and their practice[J]. Petroleum Science and Technology Forum, 2023,42(2): 75-81.
 [2] 庞志庆, 刘夕梦, 汪艳勇, 等.“双碳”目标下大庆油田绿色低碳发展实践与思考[J]. 石油科技论坛, 2023, 42(2): 30-39.
 Pang Zhiqing, Liu Ximeng, Wang Yanyong, et al. Practice and thinking on green and low-carbon development of Daqing Oilfield under carbon peak and carbon neutrality goals[J]. PetroleumScience and Technology Forum, 2023, 42(2): 30-39.
 [3] 王陆新, 杨丽丽, 王永臻. 新时代我国油气行业绿色低碳发展战略与路径探析[J]. 石油科技论坛, 2023, 42(2): 67-74.
 Wang Luxin, Yang Lili, Wang Yongzhen. Analysis of China’s oil and gas industrial green and low-carbon development strategies and paths in new era[J]. Petroleum Science and Technology Forum,2023, 42(2): 67-74.
 [4] 孔令峰, 岳小文. 中国石油新能源发展路径探索与创新实践[J].石油科技论坛, 2024, 43(1): 25-30.
 Kong Lingfeng, Yue Xiaowen. Study of CNPC’s new energy development pathway and innovation practice[J]. Petroleum Science and Technology Forum, 2024, 43(1): 25-30.
 [5] 邹才能, 熊波, 薛华庆, 等. 新能源在碳中和中的地位与作用[J].石油勘探与开发, 2021, 48(2): 411-420.
 Zou Caineng, Xiong Bo, Xue Huaqing, et al. The role of new energy in carbon neutral[J]. Petroleum Exploration and Development, 2021, 48(2): 411-420.
 [6] 光新军, 闫娜. 能源转型背景下油气工程技术发展新方向[J]. 石油钻探技术, 2024, 52(4): 151-157.
 Guang Xinjun, Yan Na. New development directions for oil and gas engineering technologies under the background of energy transformation[J]. Petroleum Drilling Techniques, 2024, 52(4):151-157.
 [7] 邹才能, 李士祥, 熊波, 等. 新能源新兴产业在推动新质生产力中的地位与作用[J]. 石油学报, 2024, 45(6): 889-899.
 Zou Caineng, Li Shixiang, Xiong Bo, et al. Status and role of emerging industries of new energy in promoting new quality productive forces[J]. Acta Petrolei Sinica, 2024, 45(6): 889-899.
 [8] 贾志鹏, 李盼, 念彬, 等 . 基于物联网的油井智能间抽控制系统[J]. 物联网技术, 2021, 11(7): 59-61.
 Jia Zhipeng, Li Pan, Nian Bin, et al. Intelligent intermittent pumping control system for oil wells based on the internet of things[J]. Internet of Things Technologies, 2021, 11(7): 59-61.
 [9] 余杰, 丁浩, 梁馨娴, 等. 油井智能间抽在油田生产中的应用与实践[J]. 石油化工应用, 2021, 40(4): 105-107.
 Yu Jie, Ding Hao, Liang Xinxian, et al. Application and practice of intelligent intermittent pumping in oilfield production[J].Petrochemical Industry Application, 2021, 40 (4): 105-107.
 [10] 路甬祥. 大力发展分布式可再生能源应用和智能微网[J]. 中国科学院院刊, 2016, 31(2): 157-164, 152, 265.
 Lu Yongxiang. Promote the development of distributed renewable energy application and smart micro grid[J]. Bulletin of the Chinese Academy of Sciences, 2016, 31(2): 157-164, 152, 265.
 [11] 司金冬, 吴熙, 郭其胜, 等. 面向高比例新能源消纳的地区电网柔性互联规划与运行技术综述[J]. 电网技术, 2024, 48(6): 2272-2286.
 Si Jindong, Wu Xi, Guo Qisheng, et al. Review of flexible interconnection of regional grids interconnection planning and operation techniques for high percentage of renewable energy consumption[J]. Power System Technology, 2024, 48(6): 2272-2286.
 [12] 羡一鸣, 安之, 刘斯伟, 等. 面向高比例新能源接入的电氢耦合系统设想及分析[J]. 电力自动化设备, 2024, 44 (4): 1-8.
 Xian Yiming, An Zhi, Liu Siwei, et al. Assumption and analysis of electricity-hydrogen coupling system for high proportion of new energy[J]. Electric Power Automation Equipment, 2024, 44 (4): 1-8.
 [13] 池立勋, 黄龑, 郝迎鹏, 等. 新能源接入下油田电网适应性改造技术方案[J].石油科技论坛, 2024, 43(1): 71-77.
 Chi Lixun, Huang Yan, Hao Yingpeng, et al. Technical solution for adaptive modification of oilfield power grid under new energy access[J]. Petroleum Science and Technology Forum, 2024, 43(1):71-77.
 [14] 熊新强, 云庆, 李冰, 等.“双碳”目标下油气生产系统清洁替代及再电气化路径思考[J]. 石油科技论坛, 2023, 42(2): 21-29.
 Xiong Xinqiang, Yun Qing, Li Bing, et al. Thinking of clean replacement and re-electrification path for oil and gas production system under carbon peak and carbon neutrality goals[J]. Petroleum Science and Technology Forum, 2023, 42(2): 21-29.
 [15] 尹丹, 罗日蕾 . 空心抽油杆杆式电加热技术在高含蜡井的应用[J]. 石油石化节能, 2022, 12(7): 33-36.
 Yin Dan, Luo Rilei. Application of hollow sucker rod rod-type electric heating technology in high wax-bearing wells[J]. Petroleum and Petrochemical Energy Conservation, 2022, 12(7): 33-36.
 [16] 刘丹. 集肤效应电加热技术在枝状集油管网中的应用[J]. 化学工程与装备, 2020(3): 135-137.
 Liu Dan. Application of skin effect electric heating technology in branched oil gathering pipeline network[J]. Chemical Engineering & Equipment, 2020(3): 135-137.
 [17] 窦宏恩, 张蕾, 米兰, 等. 人工智能在全球油气工业领域的应用现状与前景展望[J]. 石油钻采工艺, 2021, 43(4): 405-419, 441.
 Dou Hong’en, Zhang Lei, Mi Lan, et al. The application status and prospect of artificial intelligence in the global oil and gas industry[J]. Petroleum Drilling & Production Technology, 2021, 43(4): 405-419,441.
 [18] 闵超, 代博仁, 张馨慧, 等. 机器学习在油气行业中的应用进展综述[J]. 西南石油大学学报(自然科学版), 2020, 42(6): 1-15.
 Min Chao, Dai Boren, Zhang Xinhui, et al. A review of the application progress of machine learning in oil and gas industry[J].Journal of Southwest Petroleum University (Natural Science Edition), 2020, 42(6): 1-15.
 [19] 金镭, 秦雪伦, 江如意, 等 . 油气行业数字孪生研究述评与展望[J]. 世界石油工业, 2022, 29(5): 17-25.
 Jin Lei, Qin Xuelun, Jiang Ruyi, et al. Review and prospect of digital twin research in oil and gas industry[J]. World Petroleum Industry, 2022, 29(5): 17-25.
 [20] 吴笛. 新能源接入智能电网的技术分析[J]. 太阳能学报, 2023, 44(9): 554.
 Wu Di. Technical analysis of new energy access to smart grid[J].Acta Energiae Solaris Sinica, 2023, 44(9): 554.
 [21] 谢坤, 吴湛奇, 李彦阅, 等. 机器学习在油气开发领域的应用及展望[J]. 西安石油大学学报(自然科学版), 2023, 38(5): 58-67.
 Xie Kun, Wu Zhanqi, Li Yanyue, et al. Application of machine learning in oil and gas development field and its prospect[J].Journal of Xi’an Shiyou University (Natural Science Edition),2023, 38(5): 58-67.
 [22] 杨嘉琦, 徐慧瑶, 何乔凤. 油气新能源数字化建设探索与试验[J].信息系统工程, 2024 (3): 97-100.
 Yang Jiaqi, Xu Huiyao, He Qiaofeng. Exploration and experiment of digital construction of oil, gas and new energy[J]. Information System Engineering, 2024(3): 97-100.
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