苏里格气田某天然气处理厂凝析油收率模拟分析

Simulation on recovery of condensate in one gas treatment plant, Sulige gasfield

为了解决苏里格气田凝析油收率预测情况与实际情况误差较大的问题。利用HYSYS软件分析凝析油收率影响因素,提出修正后天然气净化装置凝析油收率预测模型。研究结果表明:①原料气中重组分测定结果不准确是凝析油收率存在差异的主要原因;②原料气中C6^+含量对凝析油收率影响最大;③基于修正后凝析油收率预测模型,提出同期法和递推法两种预测思路。研究结论认为:在同一季节内,采用递推法相对误差较小,在季节更替月份推荐采用同期法,预测凝析油收率相对误差控制在10%以内,验证了基于HYSYS软件预测凝析油收率的可行性。

There is a larger error between predicted recovery of condensate and actual one of Sulige gasfield.So, the factors influencing this recovery were analyzed by means of HYSYS software, and a modified prediction model was proposed for the recovery of natural-gas purification plants. Results show that(1) for heavy constituents in feed gas, wrong measurement is surely the main reason leading to recovery difference;(2) the effect of C6^+ content in feed gas on recovery is the largest;and(3) based on this modified model, two prediction ideas are put forward, i.e.,synchronization method and recurrence method. It’s deemed that, in the same season, the relative error by the recurrence method is smaller. Therefore, it’s recommended to apply the synchronization method in those seasonal exchange times to control the predicted error lower than 10%. The predicted recovery based on HYSYS software is verified to be feasible.