Nashrieh Shimi va Mohandesi Shimi Iran

Nashrieh Shimi va Mohandesi Shimi Iran

Modeling and Optimization of Oil Well Productivity Considering the Effects of Skin Factor, Wellbore Radius, and Reservoir Thickness Using Computational Fluid Dynamics, Response Surface Methodology, and Genetic Algorithm

Document Type : Research Article

Authors
Sepideh Shamshiri
Fahimeh Hooriabad Saboor
Amir Heydari
Behrouz Mirzaei
Department of Chemical Engineering, University of Mohaghegh Ardabili, Ardabil, I.R.IRAN
Abstract
Oil well productivity is one of the key factors in optimizing production and reducing costs in oil extraction operations. Various characteristics of oil reservoirs, including pressure variations, porosity, and permeability, present challenges for the optimal exploitation of wells. This study investigates the optimization of oil well productivity using Computational Fluid Dynamics (CFD), Response Surface Methodology (RSM), and Genetic Algorithm (GA). The effects of three key parameters, skin factor, wellbore radius, and reservoir thickness, on oil well productivity are analyzed through CFD simulations and RSM analysis. These parameters were evaluated in a full factorial design with 27 different scenarios. Finally, using a Genetic Algorithm, these parameters were optimized to achieve maximum productivity. The results show that optimizing these parameters with the Genetic Algorithm leads to maximum productivity. The coefficient of determination (R²) and adjusted R² for the resulting model were 0.963 and 0.952, respectively. The optimal parameter values include a skin factor of 0.412, a wellbore radius of 0.25 meters, and a reservoir thickness of 399 meters, under which the productivity index was calculated as 0.639. The findings of this study provide valuable insights into parameter sensitivity and optimal configurations for enhancing the exploitation of oil reservoirs.
Keywords
Productivity
Skin factor
Wellbore radius
Reservoir thickness
Optimization
Computational fluid dynamics
Response surface methodology
Genetic algorithm

Subjects

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