Issue |
E3S Web Conf.
Volume 220, 2020
Sustainable Energy Systems: Innovative Perspectives (SES-2020)
|
|
---|---|---|
Article Number | 01016 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202022001016 | |
Published online | 16 December 2020 |
Probability-Statistical Models to Forecast Hydraulic Fracturing Efficiency
1
Department of Information Technologies, Mathematics and Natural Sciences Ufa State Petroleum Technological University, Branch of the University in the City of Oktyabrsky, Oktyabrsky, the Republic of Bashkortostan, Russia
2
Department of Oil and Gas Field Exploration and Development Ufa State Petroleum Technological University, Branch of the University in the City of Oktyabrsky, Oktyabrsky, the Republic of Bashkortostan, Russia
3
Kazan National Research Technological University, Faculty of Control and Automation, Gr. 8101-21, Kazan, the Republic of Tatarstan, Russia
4
Department of Oil and Gas Field Exploration and Development, Gr. MGR12-19-11, Ufa State Petroleum Technological University, Branch of the University in the City of Oktyabrsky, Oktyabrsky, the Republic of Bashkortostan, Russia
* Corresponding author: klara47@mail.ru
The article discusses the criteria for choosing fracture parameters by length, height and amount of proppant to be injected. The criteria, chosen on the basis of for probabilistic and statistical analysis are to ensure adequate application of multiand single-stage hydraulic fracturing technique. The statistical indicators analysis of the multistage hydraulic fracturing application on the AS12-3 horizon made it possible to clarify the ranges of main hydraulic fractures parameters in terms of their length, volume, number of fractures and the weight of the injected proppant.
© The Authors, published by EDP Sciences, 2020
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.