This article focuses on the development of all automated production as well as the oil and gas industry. Classical adjustment and control algorithms can be found in the automation of many industrial enterprises today. This leads to lower quality of automatic adjustment in production. A clear example of this is the automatic systems created in the second half of the last century, which are adjusted using short-codes in the program. Therefore, it is crucial to study them well and introduce them to management algorithms and programs that meet modern and international standards. That is, today's rapidly evolving intellectual management programs and self-determination algorithms ensure the speed and quality of automation systems. These algorithms and codes lead to the study of artificial intelligence and artificial neural networks. In fact, this article addresses some of these sections as well. We can see that the auto-adjustment algorithms and program codes based on them have paid off. At the bottom of the article, you can see the industrial enterprises that are achieving high results today using these systems