人工智慧在石油產業的創新應用

近三年來，數位化與人工智慧正在以超乎預期的速度發展，很多大型石油公司，都為迎接這場變革做了積極的準備。國際石油大公司早已加入AI的世界，2018年殼牌和微軟公司擴大合作宣佈普及人工智慧，道達爾也同谷歌公司簽署協定合作推動人工智慧；埃克森美孚和BP，也早已應用人工智慧技術進行油氣探勘。這充分體現了石油產業智慧化競賽的加速，隨之而來的是，在不同的石油公司之間，智慧化水準的差距也已逐漸拉大，這一點已引起各國石油公司的關注與重視。石油產業是一個極其複雜的產業，涉及石油探勘開發、石油運輸與儲存、石油貿易、石油煉化、成品油零售等，未來人工智慧幾乎可以應用在石油產業鏈的每個環節，但大數據在台灣油氣領域的應用尚處於起步階段，國內的研究尚不夠深入和系統化。本文先闡述大數據與人工智慧技術的觀念，再說明國際油公司在上下游的應用範疇，並以大油公司的實例作為國內的借鏡，期能促進石油產業開發技術升級換代。

關鍵字

人工智慧（AI）；大數據；雲端計算；物聯網（IoT）；石油探勘開發；煉化生產；加油站管理

並列摘要

The development and growth of digital transformation and artificial intelligence (AI) has accelerated at an unprecedented rate over the past three years. Major international oil companies have been actively preparing for this change and have incorporated AI into a variety of corporate applications. Not only have ExxonMobil and British Petroleum (BP) been adopting AI technology in oil and gas exploration, Total has also signed an agreement with Google to jointly develop AI. In 2018, Shell and Microsoft further expanded their strategic collaboration with the goal of integrating the use of AI on a larger scale, heating up competition on AI in the oil and gas industry. As a result, the disparity between individual oil companies' approach to AI has attracted the attention of oil companies in various countries. Even though the oil industry, involving exploration and production, transportation and storage, refining, and marketing, is extremely complex in operation, AI can be applied to almost every aspect of the industry. The application of big data in Taiwan's oil and gas industry is still in its infancy, and current domestic research is neither in depth nor systematic enough. This paper first expounds the concept of big data and artificial intelligence technology, and then explains the application scope of international oil companies in the upstream and downstream, and takes the example of big oil company as a domestic reference, which can promote the upgrading of oil industry development technology.

並列關鍵字

Artificial Intelligence (AI) ； Big Data ； Cloud Computing ； Internet of Things (IoT) ； Petroleum Exploration and Development ； Refining and Chemical Production ； Gas Station Management