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Today, the introduction of artificial intelligence in the oil and gas industry occupies a significant role and a special place. However, there are a number of problems that do not allow the effective implementation of artificial intelligence in the oil and gas industry, the most significant of which is the lack of relevant specialists.
oil and gas industry, artificial intelligence, automation, optimization, business processes, profitability, programming, digitalization, machine learning, petroleum engineer.
oil and gas industry, artificial intelligence, automation, optimization, business processes, profitability, programming, digitalization, machine learning, petroleum engineer.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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