Estimation of minimum miscibility pressure (MMP) in enhanced oil recovery (EOR) process by N2 flooding using different computational schemes
Estimation of minimum miscibility pressure (MMP) in enhanced oil recovery (EOR) process by N2 flooding using different computational schemes
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DOI：
10.1016/j.fuel.2018.08.066
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发表时间：
2019-01-01
期刊：
影响因子：
7.4
通讯作者：
Mohammadi, Amir H.
中科院分区：
文献类型：
--
作者：
Barati-Harooni, Ali;Najafi-Marghmaleki, Adel;Mohammadi, Amir H.
氮气是作为提高石油采收率（EOR）过程的一部分的气体注入过程中要考虑的有效试剂。氮气驱方案的成功设计和实施在很大程度上取决于最小渗透压力（MMP）的准确预测。这项工作基于可靠且有效的实验数据，涵盖从文献中收集的广泛操作参数，重点介绍了GA-RBF、PSO-ANFIS和MLP三种模型在估计氮气-原油系统中纯和不纯MMP值方面的应用。利用各种统计和图形方法来评估所开发的模型的性能。所开发的模型的结果进行了比较与文献报道的方法估计氮MMP。结果表明，GA-RBF、CHPSO-ANFIS和MLP模型对实验数据的总体平均绝对相对误差分别为1.9%、2.92%和3.59%，总体R-2值分别为0.9847、0.9686和0.9485。此外，所提出的模型成功地优于其他文献方法，并提出更准确和可靠的结果。
Nitrogen is an effective agent to be considered in gas injection processes as a part of enhanced oil recovery (EOR) process. Successful design and implementation of nitrogen flooding scenarios greatly depend on accurate prediction of minimum miscibility pressure (MMP). This work highlights the application of three models namely GA-RBF, PSO-ANFIS and MLP for estimation of pure and impure MMP value in nitrogen-crude oil systems based on reliable and valid experimental data covering a wide range of operational parameters gathered from literature. Various statistical and graphical methods were utilized to evaluate the performance of the developed models. The results of the developed models are also compared with reported literature methods for estimation of nitrogen MMP. Results show that the proposed GA-RBF, CHPSO-ANFIS and MLP models are accurate for estimation of experimental data with overall average absolute relative errors of 1.9%, 2.92% and 3.59% and overall R-2 values of 0.9847, 0.9686 and 0.9485, respectively. Moreover, the proposed models successfully outperform other literature methods and present more accurate and reliable results.