| Issue |
E3S Web of Conf.
Volume 524, 2024
VII International Conference on Actual Problems of the Energy Complex and Environmental Protection (APEC-VII-2024)
|
|
|---|---|---|
| Article Number | 03038 | |
| Number of page(s) | 7 | |
| Section | General Earth Sciences and Energy Resources | |
| DOI | https://doi.org/10.1051/e3sconf/202452403038 | |
| Published online | 16 May 2024 | |
Digital support and evaluation of the effectiveness of geological and technical measures based on artificial intelligence systems
Institute of Oil and Gas FSBEI of HE “Ufa State Petroleum Technological University”, (Branch in the City of Oktyabrsky), 54a, Devonskaya Street, Oktyabrsky, Republic of Bashkortostan, 452607, Russia
* Corresponding author: gilyazetdinov_2023@mail.ru
In this paper, the authors present the approbation of an artificial intelligence algorithm for digital support and evaluation of the effectiveness of the implementation of geological and technical measures in various mining and geological conditions. The object of the study was the deposits of deposit N, characterized by significant variability of parameters reflecting the filtration and capacitance properties of productive formations and their saturating fluids. With the help of the created system, maintenance of repair and insulation works at one of the wells of the object under study was successfully carried out. The presented main stages of the algorithm are universal and can be used in other fields to solve a wide range of problems in the development of deposits. The conclusion is made about the prospects of the direction «digitalization in oil production» and the relevance of the development of this topic in the context of the need to increase the pace of extraction of reserves.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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