This paper introduces an innovative algorithm for optimizing radial placement of horizontal wells based on a 3D geological model of oil fields using radial well distribution. The authors present an analytical approach that substantially reduces computational time and resources compared to conventional methods such as multivariate hydrodynamic simulations or artificial intelligence algorithms. The methodology is based on an objective function that evaluates hydrocarbon mobility, volume of reserves as well as geological parameters including permeability, formation thickness, and relative phase permeability. The algorithm was rigorously tested on three synthetic reservoir models featuring diverse geological-physical properties and varying conditions for radial placement of horizontal wells. Computational results demonstrate that the proposed method delivers comparable efficiency to optimization algorithms (with only 1,1-3,5 % variance in oil recovery), while it requires 78 times less computational time. This exceptional performance makes the algorithm particularly valuable during the early-stage of field development planning when rapid decision-making under conditions of significant data uncertainty is critical. Due to the fact that nowadays in Russia there is a tendency towards an increase in the volume of production engineering works for new offshore hydrocarbon deposits the paper emphasizes the practical significance of the algorithm for offshore fields, where a limited number of wells and high drilling costs require accurate planning.
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