| Issue |
E3S Web Conf.
Volume 270, 2021
International scientific forum on computer and energy Sciences (WFCES 2021)
|
|
|---|---|---|
| Article Number | 01027 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202127001027 | |
| Published online | 09 June 2021 | |
Application of the statistical reverse method for the lithological analysis of bituminous deposits
Kazan Federal University, Institute of Geology and Petroleum Technologies, 420008 Kazan, Russian Federation
* Corresponding author: EAYachmenjova@gmail.com
The studied deposit is located on the territory of the Republic of Tatarstan (Russia). The reservoir formation is represented by bituminous sandstone. The deposit is being developed by steam-gravity drainage (SAGD). The researchers noted that the reservoir has the variability of petrophysical parameters in thickness. The correct adjustment of the lithological model will allow us to assess the variability of the reservoir characteristics by its thickness, which can better predict its reservoir and elastic properties. The article presents the results of the modeling of the mineralogical composition of rocks and the coefficient of total porosity. Results received using the statistical reverse method of constructing a volume model. This method is based on geophysical well logging used to predict the content of rock-forming components of the studied sediments. The use of core data, in particular X-ray phase analysis, made it possible to evaluate the results of the lithological model.
© The Authors, published by EDP Sciences, 2021
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.