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首頁» 過刊瀏覽» 2023» Vol.8» Issue(2) 222-233???? DOI : 10.3969/j.issn.2096-1693.2023.02.017
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智慧金融技術在油氣行業(yè)的應用
林伯韜,鄭海妍
中國石油大學(北京)人工智能學院,,北京 102249
Application of intelligent finance technology in the oil and gas industry
LIN Botao, ZHENG Haiyan
College of Artificial Intelligence, China University of Petroleum-Beijing, Beijing 102249, China

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摘要? 隨著我國石油與天然氣的產(chǎn)量,、進口量和對外依存度逐年增加,,油氣期貨交易量日益增長,,應用智能化技術提高油氣交易效能,、改善貿(mào)易機制已逐漸成為油氣行業(yè)的重要考量,。本文從智慧金融的概念和發(fā)展歷程出發(fā),,探討智慧技術與金融業(yè)務融合后的復合型技術在油氣行業(yè)的應用現(xiàn)狀、發(fā)展態(tài)勢與主要挑戰(zhàn),;并分析油氣行業(yè)的碳金融業(yè)務的智慧化進程,;涉及的智慧技術包括云計算、區(qū)塊鏈,、大數(shù)據(jù)與人工智 能,。
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關鍵詞 : 智慧金融,能源,油氣,低碳,人工智能
Abstract

The oil and gas production volume, import amount, and degree of dependence on foreign markets keep increasing annually. Meanwhile, the transaction volume of hydrocarbon futures continues to grow with time. In this regard, using intelligent technology to enhance the efficiency of oil and gas transactions, as well as to improve the trading mechanisms, has gradually become a critical consideration for the oil and gas industry. Therefore, this article first discusses the concept of intelligent finance and illustrates the history of its development. It then investigates the applications of such a composite technology that integrates intelligent techniques and financial businesses in the oil and gas industry. The investigation primarily focuses on the current status of implementation and the developmental trend of four major business fields: the capitalization of petroleum exploration and development, risk management of capital operation, insurance and reinsurance, and transaction of financial products in the oil and gas market. The intelligent techniques under consideration include cloud computing, blockchains, big data, and artificial intelligence. Moreover, the progress of intelligent technology in carbon finance is also analyzed for the oil and gas industry. Last but not least, some primary challenges that would restrain the implementation of intelligent finance technology in the industry are closely examined. The research outcome of this study reveals four discoveries. First of all, the applications of intelligent techniques have been more widely seen in the geology or engineering practices throughout the upstream, middle stream, and downstream stages. In contrast, they are sporadically used for the aforementioned scenes of financial businesses. Secondly, intelligent finance technology has demonstrated enormous value in market capitalization, hydrocarbon reserve evaluation, transaction safety, market analysis, risk control, claim settlement, and supply chain finance in the oil and gas industry. Thirdly, intelligent finance technology can efficiently boost the development of the carbon product market and the carbon derivative market. It can also continuously optimize transaction policies of the industry. Finally, such applications face several challenges, including a low degree of digitalization of the industrial businesses, a low efficiency of data management and administration, immature economic policies and market regulations, a less competitive transaction market, and an unattractive salary package for potential talents. In these respects, it is suggested to strengthen the digital transformation of the oil and gas industry, push the data governance across the related industries, refine the legislative regulation and supervision of intelligent finance practices, and raise the remunerative treatment of the professionals on this field.

Key words: intelligent finance; energy; oil and gas; low carbon; artificial intelligence
收稿日期: 2023-04-28 ????
PACS: ? ?
基金資助:國家社會科學基金面上項目“多層復雜網(wǎng)絡視角下系統(tǒng)性重要金融機構的識別與監(jiān)管研究”(20BJY233) 資助
通訊作者: [email protected]
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林伯韜, 鄭海妍. 智慧金融技術在油氣行業(yè)的應用. 石油科學通報, 2023, 02: 222-233 LIN Botao, ZHENG Haiyan. Application of intelligent finance technology in the oil and gas industry. Petroleum Science Bulletin, 2023, 02: 222-233.
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