Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement

The paper describes the introduction and estimation of performance criteria for the gelling agent injection technology based on a general approach to modeling physical and chemical enhanced oil recovery (EOR) methods. The current mathematical models do not include performance criteria for the proces...

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Bibliographic Details
Published in:Gels 2022-09, Vol.8 (10), p.621
Main Authors: Fedorov, Konstantin, Shevelev, Alexander, Gilmanov, Alexander, Arzhylovskiy, Andrey, Anuriev, Denis, Vydysh, Ivan, Morozovskiy, Nikita
Format: Article
Language:English
Subjects:
Analysis
Approximation
conformance control coefficient
Conservation laws
Criteria
Enhanced oil recovery
Environmental law
flow characteristics
Flow simulation
gelling agents
Hydraulic fracturing
incremental oil production
Injection wells
injectivity drop
Laws, regulations and rules
mass conservation law
Mathematical models
Oil recovery
Petroleum production
Reservoirs
Simulation models
Water flooding
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Summary:The paper describes the introduction and estimation of performance criteria for the gelling agent injection technology based on a general approach to modeling physical and chemical enhanced oil recovery (EOR) methods. The current mathematical models do not include performance criteria for the process of gelling agent injection and do not allow for assessing the level of success of a treatment job in production wells. The paper introduces such criteria for the first time. To simulate the effect on injection wells, the mass conservation laws and the generalized flow law are used, and closing relations for the gelling rate are taken into account. A conformance control coefficient is introduced which characterizes the positive effect of well treatments and injectivity drop which characterizes the negative effect. The performance criteria allow for identifying the wells where the treatment jobs were the most successful. The model verification, based on the comparison of post-treatment injectivity estimated in the developed model, with Rosneft’s field data showed a satisfactory match. The developed correlations can be used as the basis for a surrogate model that allows for avoiding building sector geological and flow simulation models of the treated zone.
ISSN:2310-2861
2310-2861
DOI:10.3390/gels8100621