Using platform-target compatibility, collision pressure, trajectory complexity, and total drilling footage as objective functions, and comprehensively considering constraints such as platform layout area, drilling extension limits, underground target distribution, and trajectory collision risks, a model of platform location-wellbore trajectory collaborative optimization for a complex-structure well factory is developed. A hybrid heuristic algorithm is proposed by combining an improved sparrow search algorithm (ISSA) for optimizing platform parameters in the outer layer and a directed artificial bee colony algorithm (DABC) for optimizing trajectory parameters in the inner layer. This ISSA-DABC interaction facilitates the resolution of the collaborative optimization problem. The ISSA-DABC provides an effective solution to the platform-trajectory collaborative optimization problem for complex-structure well factories and overcomes the tendency of the traditional platform-trajectory stepwise optimization workflow to become trapped in local optima and yield inconsistent designs. The ISSA-DABC achieves a strong global search capability, fast convergence, and good robustness, can simultaneously satisfy multiple engineering constraints on drilling footage, trajectory complexity, and collision risk, and enables automated, workflow-wide generation of constraint-compliant, near-globally optimal platform-trajectory configurations. Field applications further demonstrate that ISSA-DABC significantly reduces the objective function value and collision risk, yielding more rational platform layouts and well factory design parameters.
WANG Ge, GAO Deli, HUANG Wenjun
. A collaborative optimization design method of platform location and well trajectory for a complex-structure well factory[J]. Petroleum Exploration and Development, 0
: 20260210
-20260210
.
DOI: 10.11698/PED.20250026
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