Drilling Platform Position Optimization Method Based on SSA Algorithm

This paper utilizes the sparrow search algorithm (SSA) to determine the optimal locations for a finite number of wellhead platforms, strategically placing platforms according to geological objectives to maximize oil and gas resources. The algorithm employs mixed-integer linear programming, utilizing criteria such as “minimizing trajectory complexity” and “reducing total drilling footage” to dynamically update the allocation relationship between wellhead positions and underground targets. In the objective mathematical model, constraints such as platform location and control area are comprehensively considered to meet the demands of various drilling operations. The results demonstrate that the combination of SSA with objective functions effectively addresses the issue of platform planning getting stuck in local optima. After optimization, the number of platforms is significantly reduced, meeting multiple performance indicators such as drilling footage and trajectory complexity. This study provides a cutting-edge approach to optimize platform positioning and wellhead quantity design.