AN INTEGRATED APPROACH TO ASSESSING OIL DISPLACEMENT EFFICIENCY BY WATER IN FRACTURED-POROUS CARBONATE RESERVOIRS
Article Sidebar
Main Article Content
Abstract
This paper presents an integrated methodology for the quantitative assessment of Oil Displacement Efficiency by Water (ODEW) in fractured-porous carbonate reservoirs using a multivariate statistical analysis. We examine the geological-physical and engineering parameters crucial for defining the efficacy of waterflooding processes in both reefal and depression-type carbonate formations. The study proposes advanced regression models that correlate ODEW with parameters such as porosity, areal and vertical sweep efficiency, heterogeneity, and initial water saturation. Statistical analysis was conducted using a database encompassing 21 fields in the Bukhara-Khiva region, resulting in the construction of correlation matrices and subsequent verification of the models against field data from the Severny Urtabulak and Kukdumalak assets. Our findings establish that the sweep efficiency factor exerts the most significant influence on the resultant ODEW value. The derived dependencies provide a predictive tool for estimating oil displacement performance and can be utilized to optimize Pressure Maintenance Systems (PMS) in reservoirs exhibiting dual-porosity characteristics.
Downloads
Article Details
Issue
Section
This work is licensed under a Creative Commons Attribution 4.0 International License.
Public License Terms
(For Open Journal Systems (OJS))
-
Copyright:
The copyright of the published article remains with the author(s). However, after publication, the article is distributed on the OJS platform under the Creative Commons (CC BY) license. -
License Type:
This article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means users can utilize the article under the following conditions:- Copy and distribute: The text of the article or its parts can be freely distributed.
- Quote and analyze: Parts of the article can be used for quoting and analysis.
- Free use: The article can be freely used for research and educational purposes.
- Attribution: Users must provide proper attribution and reference to the original source.
-
Commercial use:
The article can be used for commercial purposes, provided that authorship and source are properly cited. -
Document modification:
The text or content of the article can be modified or adapted, as long as it does not harm the authorship. -
Liability disclaimer:
The author(s) are responsible for the accuracy of the information contained in the article. The editorial team of the platform is not liable for any damages resulting from the use of this information. -
Public usage obligations:
The content of the article must be used only in accordance with legal and ethical standards. Unauthorized use is strictly prohibited.
Note:
These license terms are designed to ensure transparency and openness in material usage. By accepting these terms, you agree to the adaptation and distribution of the article content under the terms of the Creative Commons license.
Link: Creative Commons Attribution 4.0 International (CC BY 4.0)
How to Cite
References
[1] Агзамов, А. Х., Султонов, Н. Н., Жураев, Э. И., & Асадова, Х. Б. (2024). Оценка степени влияния геологических и технологических факторов... Цифровые технологии в промышленности, 2(4), 116–124.
[2] Асадова, Х. Б., & Султонов, Н. Н. (2021). Применение современных методов интенсификации добычи углеводородов. International Engineering Journal, 6(6), 1–3.
[3] Султонов, Н. Н. (2024). Многофакторный анализ коэффициента вытеснения нефти водой. Нефтяное хозяйство, (3), 45–49. DOI: https://doi.org/10.70769/3030-3214.SRT.3.2.2025.13
[4] Султонов, Н. Н. (2025). Влияние типа карбонатных коллекторов... (Дисс. PhD). Ташкент.
[5] Ahmed, T., & McKinney, P. (2019). Advanced reservoir engineering. Gulf Professional Publishing.
[6] Craft, B., & Hawkins, M. (2020). Applied petroleum reservoir engineering. Englewood Cliffs, NJ: Prentice Hall.
[7] Kazemi, H., et al. (2018). Fluid flow in fractured porous media. SPE Journal, 23(4), 1012–1024.
[8] Li, K., & Firoozabadi, A. (2021). Modeling of two-phase flow in fractured systems. Journal of Petroleum Science and Engineering, 197, 108–115.
[9] Yortsos, Y. C. (2020). Displacement processes in naturally fractured reservoirs. Advances in Water Resources.
[10] Трушина, И., & Ганиев, Р. (2023). Многофакторный анализ фильтрационно-ёмкостных свойств карбонатных коллекторов. Геология нефти и газа, (4), 62–69.
[11] Назаров, Б., & Муртазаев, А. (2022). Анализ влияния неоднородности на КИН. Вестник нефтегазовой науки, (6), 38–45.
[12] Xu, T., & Zhang, D. (2022). Multiphase flow behavior in dual-porosity reservoirs. Energy Reports, 8, 1210–1224.
[13] Кожанов, В. Г. (2021). Оптимизация систем ППД для карбонатных месторождений. Проблемы нефти и газа, (2), 77–84.
[14] Локшин, В. А., & Дьячков, С. И. (2022). Цифровое моделирование процессов заводнения. Москва: Недра.
[15] Society of Petroleum Engineers. (2023). SPE Technical Paper 204115: Improving waterflooding efficiency in fractured reservoirs.