苏丹油藏流体摩尔体积预测

A. A. Rabah, S. A. Mohamed
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引用次数: 3

摘要

本文提供了苏丹油藏流体PVT的重要实验数据。它包括11种混合物的成分分析和在低于气泡点的压力下进行的恒定质量膨胀(CME)试验的约148个PVT数据点。将数据集与Peng Robinson (PR)、sove - redlich - kwong (SRK)、Lawal-Lake-Silberberg (LLS)、adachiu - luu - sugie (ALS)、Schmidt-Wenzel (SW)、Patel-Teja (PT)、Modified-Nasrifar-Moshfeghian (MNM)和Harmens-Knapp (HK) 8种状态方程(EOS)进行比较。比较结果表明,除PR和ALS外,其他所有EOSs在预测摩尔体积方面的平均绝对百分比偏差(AAPD)均较高;在所有混合物中都超过20%。PR和ALS的大平均AAPD分别为17和16。选择ALS来表示混合物。将排斥力项支配项参数(b1)的系数(Ωb1)替换为PR的系数对其进行了修正,对单个混合物的ALS精度提高了30% ~ 90%,大平均AAPD从16显著降低到7左右。
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Prediction of Molar Volumes of the Sudanese Reservoir Fluids
This paper provided important experimental PVT data of the Sudanese reservoir fluids. It includes composition analysis of 11 mixtures and about 148 PVT data points of constant mass expansion (CME) tests at pressures below the bubble point. The datasets are compared with eight equations of state (EOS), namely, Peng Robinson (PR), Soave-Redlich-Kwong (SRK), Lawal-Lake-Silberberg (LLS), Adachi-Lu-Sugie (ALS), Schmidt-Wenzel (SW), Patel-Teja (PT), Modified-Nasrifar-Moshfeghian (MNM), and Harmens-Knapp (HK). The results of comparison reveals that, with the exception of PR and ALS EOSs, all other EOSs yield consistently a higher average absolute percent deviation (AAPD) in the prediction of molar volume; it exceeds 20% by all mixtures. The grand average AAPD of all mixtures is 17 and 16 for PR and ALS, respectively. ALS is selected to represents the mixtures. It is modified by replacing the coefficient (Ωb1) of the parameter (b1) in the dominator of repulsive term by that of PR. This procedure enhanced the accuracy of ALS by 30 to 90% for individual mixtures and the grand average AAPD is significantly reduced from 16 to about 7.
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