Dear Colleagues,

The keywords data and intelligence have (re-)experienced enormous popularity recently, both in the popular press and in industry. The oil and gas industry quoted a number of cases where data analytics (DA), artificial intelligence (AI), and related approaches to problem-solving are claimed to have provided tangible benefits. Related software tools and practices necessitate a set of mathematical, computational, and engineering elements, which have evolved over the years. With the recent abundance of data of all kinds and ample computing power, these tools are particularly well suited for modeling, monitoring, optimization, or control of engineered systems. While some of the methods now used have existed for years, others have emerged quite recently. Nevertheless, domain expertise and physical understanding of systems remain as relevant as ever. The purpose of this Special Issue is to collect real-world examples of recent successes and challenges in the oil and gas industry, in an attempt to illustrate the capabilities of proposed tools, assess their current limitations, and present expectations for future prospects. Papers reviewing the state of the art and future needs would be particularly welcome.

Prof. Dr. Michael Nikolaou
Guest Editor

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