Parametric analysis of diffusivity equation in oil reservoirs

Azin, Reza; Mohamadi‐Baghmolaei, Mohamad; Sakhaei, Zahra

doi:10.1007/s13202-016-0247-5

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…In general, oil and gas refineries are designed to operate based on the delivery feed coming from the reservoir. Note that reservoir specifications change over time . In addition, some devices, processes, or product standards may also change over time.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Advanced Process Control Strategy for a Condensate Stabilization Unit: Energy, Exergy, Economic, and Environmental (4E) Study

Shafiei

Azin

Osfouri

et al. 2023

Ind. Eng. Chem. Res.

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This study assesses the energy, exergy, economic, and environmental performance of a gas stabilization unit by employing a new strategy to implement an advanced control system. The advanced process control (APC) strategy is established based on the response surface methodology to assess the real-time performance of the process. The RSM-based APC technique targets the energy, exergy, economic, and environmental (4E) performance of the process in unsteady-state operations. A detailed sensitivity analysis is also conducted to evaluate the relative significance of operating parameters on the objective functions, such as exergy efficiency, energy cost, and CO2 emission. The RSM-based APC strategy proposes an algorithm that can readily be implemented in the plant to increase the plant’s energy performance. Implementing this intelligent control system leads to the production of standard products, while production cost, energy consumption, exergy efficiency, and environmental impacts are enhanced. The exergy and sensitivity results indicate that the stabilization tower has the highest potential for process enhancement, and reboiler temperature is the most influential factor among operating parameters. Also, the RSM-based APC improves the exergy efficiency of the plant by 19% and reduces the energy cost by 13%. At the optimal state, 457 kg/h CO2 emission is prevented.

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Section: Methodsmentioning

confidence: 99%

“…Note that reservoir specifications change over time. 51 In addition, some devices, processes, or product standards may also change over time. Thus, operating conditions should be adjusted based on the refinery condition and market standards to preserve the refinery's product quality.…”

Section: Methodsmentioning

confidence: 99%

Advanced Process Control Strategy for a Condensate Stabilization Unit: Energy, Exergy, Economic, and Environmental (4E) Study

Shafiei

Azin

Osfouri

et al. 2023

Ind. Eng. Chem. Res.

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“…This is a nonlinear partial differential equation and difficult to solve for an analytical solution. For simplification, one can neglect the nonlinear term in equation ( 13) by considering pressure variation is small, 26 then the equation (13) becomes…”

Section: Pressure Calculation Using Darcy Modelmentioning

confidence: 99%

A computational fluid dynamics investigation of the flow behavior near a wellbore using three-dimensional Navier–Stokes equations

Ahammad

Rahman

Alam

et al. 2019

Advances in Mechanical Engineering

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The analysis of fluid flow near the wellbore region of a hydrocarbon reservoir is a complex phenomenon. The pressure drop and flow rates change in the near wellbore with time, and the understanding of this system is important. Besides existing theoretical and experimental approaches, computational fluid dynamics studies can help understanding the nature of fluid flow from a reservoir into the wellbore. In this research, a near wellbore model using three-dimensional Navier–Stokes equations is presented for analyzing the flow around the wellbore. Pressure and velocity are coupled into a single system which is solved by an algebraic multigrid method for the optimal computational cost. The computational fluid dynamics model is verified against the analytical solution of the Darcy model for reservoir flow, as well as against the analytical solution of pressure diffusivity equation. The streamlines indicate that the flow is radially symmetric with respect to the vertical plane as expected. The present computational fluid dynamics investigation observes that the motion of reservoir fluid becomes nonlinear at the region of near wellbore. Moreover, this nonlinear behavior has an influence on the hydrocarbon recovery. The flow performance through wellbore is analyzed using the inflow performance relations curve for the steady-state and time-dependent solution. Finally, the investigation suggests that the Navier–Stokes equations along with a near-optimal solver provide an efficient computational fluid dynamics framework for analyzing fluid flow in a wellbore and its surrounding region.

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