This study utilizes particle swarm optimization to enhance hydrocarbon recovery in horizontal drilling, demonstrating effective trajectory adjustments using resistivity data.
Key Points
The innovative use of particle swarm optimization improved cumulative hydrocarbon saturation by 46.4% over initial trajectories.
Real-time data from Logging While Drilling tools combined with PSO led to more accurate trajectory planning within complex geological formations.
Risk of intersecting water-bearing formations was minimized through adaptive adjustments of drilling parameters like azimuth and inclination.
This approach integrates probabilistic modeling techniques such as kriging and Monte Carlo to quantify uncertainty in hydrocarbon recovery scenarios.