基于油嘴参数优化的提升济阳页岩油单井EUR方法OA

The production decline behavior of oil wells is significantly influenced by choke regulation,where rational choke parameter optimization is the key to enhancing estimated ultimate recovery(EUR).This study focused on Jiyang shale oil wells.Based on the regulatory effect of choke adjustments on production dynamics,a segmented production decline model incorporating choke adjustments was established.The particle swarm optimization(PSO)algorithm was employed to optimize choke parameters,and a scientific production control strategy aimed at maximizing EUR was proposed.Firstly,by analyzing the production characteristics of Jiyang shale oil wells,it was found that staged choke diameter adjustments transformed the traditional"L-shaped"decline into a"step-like"decline pattern.A segmented production decline model based on choke adjustments was constructed.This model integrated the Arps decline theory,significantly improving oil production prediction accuracy by segmentally fitting initial production,decline exponents,and decline rates under different choke diameters.Compared to the conventional single-segment Arps model,the average relative error decreased from 10.46%to 5.57%.Secondly,based on the segmented decline model,a multi-stage superposition method for EUR calculation was proposed.By considering the economic limit rate and the cumulative contribution from each choke stage,this method yielded more reliable EUR predictions.Finally,with the goal of maximizing EUR,the PSO algorithm was used to optimize the choke diameter and production time.The results demonstrate that this approach outperforms both single decline models and combined models in shale oil well production forecasting,exhibiting optimal accuracy and stability,with the most reasonable EUR predictions and the lowest error(<8%).A rational choke adjustment strategy can increase single-well EUR by 6.44%-10.51%while effectively delaying production decline.