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題名 | 人工智慧與大數據在油氣探採之應用=Application of Artificial Intelligence and Big Data to Petroleum Exploration and Production |
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作者 | 李瑋倫; 謝秉融; 洪作緒; 李沅銘; 丁信修; 陳大麟; Li, Wei-lun; Hsieh, Ping-jung; Hung, Tso-hsu; Li, Yuan-ming; Ting, Hsin-hsiu; Chen, Ta-lin; |
期刊 | 石油季刊 |
出版日期 | 20191200 |
卷期 | 55:4 2019.12[民108.12] |
頁次 | 頁55-69 |
分類號 | 457.2 |
語文 | chi |
關鍵詞 | 人工智慧; 大數據; 油氣探採; Artificial intelligence; Big data; Petroleum exploration and production; |
中文摘要 | 近年來,隨著硬體設備和演算法的大幅發展,人工智慧(AI)在人類日常生活已逐漸具體實現。近期科學家期望的透過人工智慧演算法的導入,使一些工作可利用機器去完成,提昇效率及降低成本,在石油產業中約可增加79%的附加價值。現階段國際石油公司主要的兩種人工智慧應用模式:分別是「智能機器人(intelligent robot)」和「虛擬助手(virtual assistant)」。埃克森美孚(ExxonMobil)從2016到2021這五年內在此領域預計投入2,500萬美元,並與麻省理工學院(Massachusetts Institute of Technology, MIT)合作,設計運用於海洋探勘的智能機器人;道達爾石油公司(Total)宣布與谷歌雲(Google Cloud)達成協議,共同開發人工智慧井下資料分析系統,以改善探勘流程。台灣中油公司希望透過人工智慧的導入,增進產能與強化工安,因此,中油探採研究所積極邀請資料科學家蒞所指導與演講,同仁對於人工智慧的應用已有基礎的認識,探研所已研擬數個人工智慧相關專案,配合進階的教育訓練課程,同仁們更加了解人工智慧的應用與發展。並藉由資料科學家對人工智慧的軟硬體需求評估及規劃,預期在未來相關的計畫,能夠有顯著的助益。 |
英文摘要 | With the rapid advance of hardware and algorithms, recently artificial intelligence (AI) has been gradually applied to our daily life. There are several stages in AI development history. At this stage, scientists hope to use high-level AI algorithms to enable computers to perform some tasks, previously done by man. Such technologies have been proven to significantly increase work efficiency and reduce costs, with an average adding value of approximately 79% in the petroleum industry. Today, the most popular AI applications in the international oil companies appear to be "Intelligent Robots" and "Virtual Assistants", such as ExxonMobil, investing 25 million dollars in this field, has announced that it will work with Massachusetts Institute of Technology (MIT) to design AI robots for ocean exploration;Total Oil announced an agreement with Google Cloud to jointly develop an artificial intelligence system for well log data analysis to improve the exploration process. CPC Corporation, Taiwan hopes to increase production capacity and industrial safety through the introduction of AI and Big Data Technology. As a result, the Exploration and Development Research Institute (EDRI), CPC Corporation, Taiwan hopes that colleagues will have a basic understanding of the application of AI through speeches by the invited data scientists. Now, EDRI has proposed several projects which are related to AI. We hope that through more comprehensive AI education training courses, EDRI's personnel will have a better understanding of the application and development of AI. Besides, we also hope that through the software and hardware requirement evaluation of the application of AI, the future EDRI's AI-related projects can be carried out more smoothly. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。