“How accurate is the conventional CRM to model immiscible gas flooding?”
Zhanabayeva M. Pourafshary P.
March 2026Elsevier B.V.
Geoenergy Science and Engineering
2026#258
One of the relatively new and promising indirect physical methods used for the determination of interwell connectivity is Capacitance Resistive Models (CRM). The CRM is a combination of material balance and reservoir productivity equations for characterizing a reservoir performance and oil production optimization. The main advantages of using CRM are its computational time and minimum required input data for the model as in many situations running full-scale numerical simulations do not meet the economical requirement and the time limit restrictions of the project. The literature indicates that while CRM is a well-established method for waterflooding, its application in gas flooding is evolving, with ongoing research aimed at modifying the model for these scenarios. Modelling a gas flow with CRM is challenging as we need to account for the compressibility of gas and the variation of gas properties with pressure. It is important to understand how accurate current CRM is to simulate immiscible gas flooding. The objective of this study is to define the ranges of rock/fluid properties, where CRM is accurate enough to model immiscible gas flooding. The results show that a large diffusivity coefficient results in a better performance of CRM, for a diffusivity coefficient smaller than 106m2/s the CRM results become more inconsistent and shows an error of more than 20 % even for a homogeneous reservoir. Increasing the heterogeneity of the reservoir worsens the performance of CRM. Mobility ratio (M) also affects the CRM performance. For favorable flooding (M < 1), the model matches the oil production history better. Moreover, reservoirs with high pressure, low temperature, and relatively dense gas are good candidates for CRM modeling. Finally, acceptable ranges of reservoir parameters and limitations of the model are comprehensively discussed.
Capacitance resistance model , Fast reservoir simulation , Immiscible gas flooding , Sensitivity analysis
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School of Mining and Geosciences, Nazarbayev University, Astana, Kazakhstan
School of Mining and Geosciences
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026