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高温、高压凝析气由于重组分的存在,临界参数偏差较大,导致其压缩因子的计算精度较低。以状态方程和经验关联式为基础,结合SSBV以及WA校正方法对SRK、DPR、DAK、HY、Cranmer 5种模型计算精度进行对比分析。研究结果表明:SRK状态方程在计算轻质气体时,误差最小,适应性最好。随着C7+含量及压力的不断增大,经验关联式DPR、DAK、HY和Cranmer模型通过与SSBV与WA校正方法结合,适应性增强,优于SRK状态方程,相对而言,DAK方法和DPR方法误差分布更加稳定。但是由于考察范围有限,因此研究方法相较研究结论更有意义,为凝析气压缩因子的计算提供了新的研究思路。(表2,图4,参13)
The high temperature and high pressure condensate gas due to the presence of heavy components, large critical parameter deviation, resulting in low compression factor calculation accuracy. Based on the equation of state and the empirical correlation, the accuracy of the five models of SRK, DPR, DAK, HY and Cranmer was analyzed by using SSBV and WA calibration methods. The results show that the SRK equation of state has the least error and the best adaptability in the calculation of light gas. With the increase of C7 + content and pressure, the empirical correlation DPR, DAK, HY and Cranmer models are better than the SRK equation of state by combining with the SSBV and WA correction methods. In contrast, the DAK and DPR methods The error distribution is more stable. However, due to the limited scope of investigation, the research method is more meaningful than the conclusion of the study, which provides a new research idea for the calculation of condensate gas compression factor. (Table 2, Figure 4, reference 13)