| 题名 |
人工智慧在石油業的應用與未來發展 |
| 并列篇名 |
The Application of Artificial Intelligence in Oil Industry and Future Development |
| 作者 |
王志文(Chih-Wen Wang)；吳偉智(Wei-Ju Wu)；陳進發(Jin-Fa Chen) |
| 关键词 |
數位化油田 ； 自動化監控 ； 物聯網 ； 工業物聯網 ； Digital Oil Field ； Automation Monitoring ； Internet of Things (IoT) ； Industrial Internet of Things (IIoT) |
| 期刊名称 |
石油季刊 |
| 卷期/出版年月 |
54卷4期（2018 / 12 / 01） |
| 页次 |
25 - 38 |
| 内容语文 |
繁體中文 |
| 中文摘要 |
人工智慧在近幾年快速發展並廣泛應用於各領域，石油工業也正處這波浪潮上，特別是高風險的油氣探勘，開始利用自動化、資訊化和整合化的系統性評估，來降低鑽井與探勘風險。本文主要彙集人工智慧在石油產業上、中與下游的應用，並透過近年來國際大型石油公司的合作案例，從智慧機器人的海底漏油探測、虛擬AI客戶銷售助手、智慧製造平台和自動機器人等，甚至是近期中石油發表的探勘開發夢想雲，以及台灣中油公司在尼日合資A礦區的數位化油田先導試驗等案例，探討未來可能發展方向，從近程的管線自動化監控與分析和油氣田生產數位化遠程監控與分析，並延伸至夢想雲自動探勘、鑽井與大數據分析等，相信都能讓油氣能源產業邁入新世紀。 |
| 英文摘要 |
In recent years, artificial intelligence has developed rapidly and extensively in various fields and oil/ gas industry is also on this. Especially for high-risk oil and gas exploration, it has already introduced the systematic evaluation of automation, information technology, and integration in order to reduce drilling and exploration risks. This paper is mainly to collect the artificial intelligence application of the upstream, midstream and downstream in the oil/gas industry, and through the actual cases of international oil companies in recent years, such as submarine oil spill detection of smart robots, virtual AI customer assistants, smart manufacturing platforms, and automatic robots, etc. Especially for the dream cloud of exploration and development which announced by CNPC in November 2018 and the pilot test of the digital oil field of CPC Corporation, Taiwan in joint venture A field, Niger. Based on recent cases and experiences to discuss possible future development trends, such as the process of the pipeline automation monitoring and analysis, remote monitoring and analysis of oil and gas field production, and remote dream cloud automatic exploration and drilling. It is believed that the oil and gas energy industry can enter the new century in the near future. |
| 主题分类 |
工程學 >
礦冶與冶金工程 社會科學 > 經濟學 |
| 参考文献 |
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