Visualization and simulation of immiscible displacement in fractured systems using micromodels: Steam injection

Yortsos, Y.C.

doi:10.2172/87369

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…The results obtained from the numerical simulation are depicted in Figures –. In addition, the experimental and field pilot data taken from the literature were employed in order to test the validity of the numerical modeling carried out in this paper. − ,,,− …”

Section: Results and Discussionmentioning

confidence: 99%

Mathematical Model for Steamflooding Naturally Fractured Carbonate Reservoirs

Shafiei

Zendehboudi

Dusseault

et al. 2013

Ind. Eng. Chem. Res.

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This paper presents a three-dimensional mathematical model for steamflooding in heavy oil saturated naturally fractured carbonate reservoirs where the governing equations are written for the matrix and fracture media, separately. Uncertainties associated with the shape factor for the communication between the matrix and fracture was eliminated through setting a continuity boundary condition at the interface. Using this boundary condition, the solution method employed differs from the most of the modeling simulations reported in the literature. The Newton–Raphson approach was also used for solving mass and energy balance equations. The recovery factor and cumulative steam to oil ratio were obtained as a function of steam injection rate, temperature, and also characteristics of the fractured media such as matrix size and permeability. The numerical solution clearly shows that fractures play an important role in improving the conduction of heat into the matrix part. It is also concluded that the matrix size and total permeability are the most important parameters affecting the dependent variables involved in steamflooding in this type of reservoir. The results obtained from the mathematical modeling were compared with the real data, exhibiting a reasonable agreement.

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Section: Results and Discussionmentioning

confidence: 99%

Mathematical Model for Steamflooding Naturally Fractured Carbonate Reservoirs

Shafiei

Zendehboudi

Dusseault

et al. 2013

Ind. Eng. Chem. Res.

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“…To increase the size of the database, some data from pilot plants executed in highly fractured light oil NFCRs and viscous oil highly fractured sandstone reservoirs were included [35,42,44]. In addition, some experimental data were taken from studies conducted on steamflooding in fractured media available in the literature [45][46][47][48][49][50][51][52]. The data available covers a range of fluid and reservoir properties under different operational conditions.…”

Section: Data Collectionmentioning

confidence: 99%

Data Analytics Techniques for Performance Prediction of Steamflooding in Naturally Fractured Carbonate Reservoirs

et al. 2018

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Thermal oil recovery techniques, including steam processes, account for more than 80% of the current global heavy oil, extra heavy oil, and bitumen production. Evaluation of Naturally Fractured Carbonate Reservoirs (NFCRs) for thermal heavy oil recovery using field pilot tests and exhaustive numerical and analytical modeling is expensive, complex, and personnel-intensive. Robust statistical models have not yet been proposed to predict cumulative steam to oil ratio (CSOR) and recovery factor (RF) during steamflooding in NFCRs as strong process performance indicators. In this paper, new statistical based techniques were developed using multivariable regression analysis for quick estimation of CSOR and RF in NFCRs subjected to steamflooding. The proposed data based models include vital parameters such as in situ fluid and reservoir properties. The data used are taken from experimental studies and rare field trials of vertical well steamflooding pilots in heavy oil NFCRs reported in the literature. The models show an average error of <6% for the worst cases and contain fewer empirical constants compared with existing correlations developed originally for oil sands. The interactions between the parameters were considered indicating that the initial oil saturation and oil viscosity are the most important predictive factors. The proposed models were successfully predicted CSOR and RF for two heavy oil NFCRs. Results of this study can be used for feasibility assessment of steamflooding in NFCRs.

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