| Issue |
E3S Web Conf.
Volume 623, 2025
IV International Conference on Ensuring Sustainable Development: Ecology, Earth Science, Energy and Agriculture (AEES2024)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 8 | |
| Section | Earth Science and Fuel and Energy Complex | |
| DOI | https://doi.org/10.1051/e3sconf/202562302005 | |
| Published online | 08 April 2025 | |
Assessment of the reliability of one-dimensional models of fracture development after hydraulic fracturing based on real data using the example of a deposit in Western Siberia
1 MSU named after M.V. Lomonosov, 1, Leninskie Gory, Moscow, 119991, Russian Federation
2 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, Russian Federation
* Corresponding author: farit.sharipov.2017@mail.ru
The work is devoted to a comprehensive analysis of existing models of hydraulic fracturing crack propagation. The main approaches to predicting the geometric dimensions of cracks in various geological and physical conditions of field development are considered and the main advantages and disadvantages of each of them are identified. Using geological and field data from one of the facilities in Western Siberia, numerical modeling was carried out aimed at identifying hidden patterns between various dependencies characterizing cracks after single-stage hydraulic fracturing. Taking into account the low permeability of the facility, it was found that the use of the Perkinsen and Core model makes it possible to predict the effectiveness of hydraulic fracturing to the greatest extent reasonably. This is also confirmed by the conducted reference calculations on hydrodynamic models. It is concluded that further research is needed in this area, which will significantly increase the effectiveness of hydraulic fracturing.
© The Authors, published by EDP Sciences, 2025
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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