Fedorov Konstantin, Shevelev Alexander, Gilmanov Alexander, Arzhylovskiy Andrey, Anuriev Denis, Vydysh Ivan, Morozovskiy Nikita
Department of Modeling of Physical Processes and Systems, University of Tyumen, 6 Volodarskogo Str., 625003 Tyumen, Russia.
Tyumen Petroleum Research Center, 79/1 Osipenko Str., 625003 Tyumen, Russia.
Gels. 2022 Sep 29;8(10):621. doi: 10.3390/gels8100621.
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.
本文基于物理和化学强化采油（EOR）方法建模的通用方法，描述了胶凝剂注入技术性能标准的引入和评估。当前的数学模型不包括胶凝剂注入过程的性能标准，也无法评估生产井处理作业的成功程度。本文首次引入了此类标准。为了模拟对注入井的影响，使用了质量守恒定律和广义流动定律，并考虑了胶凝速率的闭合关系。引入了一个表征井处理积极效果的调剖控制系数和一个表征消极效果的注入能力下降系数。这些性能标准有助于确定处理作业最成功的井。基于所开发模型中估计的处理后注入能力与俄罗斯石油公司的现场数据进行比较的模型验证显示出令人满意的匹配度。所开发的相关性可作为替代模型的基础，该替代模型能够避免构建处理区域的部门地质和流动模拟模型。
