Modeling of Chemical Tracers for Two-Phase Flow in Advective-Dominated Porous Media at Core Scale

IF 3.2 3区 工程技术 Q1 ENGINEERING, PETROLEUM SPE Journal Pub Date : 2024-04-01 DOI:10.2118/219730-pa
Moises Velasco-Lozano, M. Balhoff, Luis E. Diaz-Paulino, Simón López-Ramírez, Ramiro Galvan-Castro
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Abstract

Chemical tracer modeling in porous media plays a key role in subsurface applications including oil recovery, aquifer remediation, and geothermal energy production. In oil reservoirs, chemical tracers are critical to quantifying the remaining oil saturation in porous media after displacing processes, enabling the correct evaluation of the sweep efficiency of recovery methods at the field scale. Even though the transport of solutes under single-phase flow has been modeled extensively with numerous solutions, there are no existing mathematical approaches to examine the displacement of solutes in two-phase flow conditions. Therefore, we present in this research work the first analytical solutions derived to model the transport of ideal and partitioning tracers in porous media with mobile water and oil phases. The models presented are derived from the classic study of fluid displacement by viscous forces and the analysis of dynamic phase distribution in porous media, where key transformation variables are introduced to simplify the nonlinear advection-dispersion equation (ADE) into a conventional partial differential expression. In our derivation process, it is recognized that the dispersion effect can be superimposed onto an ideal concentration front via a singular perturbation expansion, resulting in practical solutions that do not require complex numerical calculations or inversion methods. The solutions derived are verified with numerical simulations and validated with experimental data under different flow conditions for the transport of ideal and partitioning tracers, demonstrating that the complex mechanisms of hydrodynamic dispersion, partitioning, and adsorption are accurately modeled under two-phase flow. Thus, our solutions can be used to rapidly evaluate tracer transport under the existing flow conditions in porous media, significantly reducing the number of experiments and simulations to characterize and select the correct tracer to be used in field applications.
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核心尺度下平流主导多孔介质中两相流动的化学示踪剂建模
多孔介质中的化学示踪剂建模在石油采收、含水层修复和地热能源生产等地下应用中发挥着关键作用。在油藏中,化学示踪剂对于量化多孔介质中经过置换过程后剩余的石油饱和度至关重要,从而可以正确评估采油方法在油田范围内的扫采效率。尽管单相流条件下的溶质运移模型已被广泛建立,并有许多解决方案,但目前还没有数学方法来研究两相流条件下的溶质置换。因此,我们在这项研究工作中首次提出了理想示踪剂和分区示踪剂在具有水相和油相流动的多孔介质中的迁移模型。所提出的模型源自对粘性力作用下流体位移的经典研究以及对多孔介质中动态相分布的分析,其中引入了关键的转换变量,以将非线性平流-分散方程(ADE)简化为传统的偏微分表达式。在我们的推导过程中,我们认识到可以通过奇异扰动展开将分散效应叠加到理想浓度前沿上,从而得到不需要复杂数值计算或反演方法的实用解。在理想示踪剂和分区示踪剂输运的不同流动条件下,得出的解通过数值模拟进行了验证,并与实验数据进行了验证,表明在两相流条件下,流体力学分散、分区和吸附的复杂机制得到了准确模拟。因此,我们的解决方案可用于快速评估多孔介质中现有流动条件下的示踪剂传输,从而大大减少了在现场应用中表征和选择正确示踪剂所需的实验和模拟次数。
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来源期刊
SPE Journal
SPE Journal 工程技术-工程:石油
CiteScore
7.20
自引率
11.10%
发文量
229
审稿时长
4.5 months
期刊介绍: Covers theories and emerging concepts spanning all aspects of engineering for oil and gas exploration and production, including reservoir characterization, multiphase flow, drilling dynamics, well architecture, gas well deliverability, numerical simulation, enhanced oil recovery, CO2 sequestration, and benchmarking and performance indicators.
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