| Issue |
E3S Web of Conf.
Volume 443, 2023
II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 10 | |
| Section | Environmental Engineering and Soil Technologies, Techniques of Energy, Oil and Gas Industries | |
| DOI | https://doi.org/10.1051/e3sconf/202344303001 | |
| Published online | 09 November 2023 | |
Singular-spectrum time series analysis for oil and gas industry production forecasting
1 «The Federal Center of Expertize and Analyzis», Moscow, Russia
2 Institute of Astronomy of the Russian Academy of Sciences, Moscow, Russia
3 Federal state unitary enterprise «All-Russia scientific and research institute «Center», Moscow, Russia
4 Marine Hydrophysical Institute, Russian Academy of Sciences, 2, Sevastopol, Russia
5 Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
* Corresponding author: kartsan2003@mail.ru
The article considers theoretical aspects of using the model of singular-spectral analysis of time series with the use of decision trees, and also provides justification of the feasibility of using this model for forecasting the production of products for both oil and gas industry and dual-use products. To reduce the risks of distortion of aggregated forecast values when working with large data sets, the expert should carry out preliminary manual selection and exclusion of products, the release of which has been completed or suspended.
© The Authors, published by EDP Sciences, 2023
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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