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Development of PVT Correlations According to Geography

机译:根据地理位置发展PVT相关性

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An enormous number of pressure-volume-temperature (PVT) correlations have been developed over the years for different types of hydrocarbon systems. However, the accuracy of these correlations is often limited due to crude oil compositional difference, impurities, etc., from different geographical locations. The literature has revealed that the predictive capabilities of the previously developed PVT correlations for Nigerian crude oil system are still associated with large errors and as the accurate determination of the PVT properties is uncompromising, it is of great importance to develop new models for the Niger Delta region. In this study, we present new empirical PVT correlations for calculating bubble point pressure (P_b) and bubble point oil formation volume factor (B_(ob)) using Niger Delta crude oil data based on multiple regression methods. Performance prediction based on statistical and graphical methods was carried out. The performance prediction results of the developed P_b and B_(ob), correlations, when used to predict PVT data of crude oil system from different geographical locations, showed very high relative errors. This implies that in order to predict PVT data for a crude oil systems with high accuracy, local PVT correlations need to be developed.
机译:多年来,已经针对不同类型的碳氢化合物系统开发了大量压力-体积-温度(PVT)相关性。但是,由于来自不同地理位置的原油成分差异,杂质等,这些相关性的准确性通常受到限制。文献表明,先前开发的PVT相关性对尼日利亚原油系统的预测能力仍然与较大的误差有关,并且由于PVT属性的准确确定不妥协,因此为尼日尔三角洲开发新模型非常重要地区。在这项研究中,我们提出了新的经验PVT相关性,用于基于多重回归方法使用尼日尔三角洲的原油数据来计算泡点压力(P_b)和泡点油形成体积因子(B_(ob))。基于统计和图形方法进行了性能预测。所开发的P_b和B_(ob)相关性的性能预测结果用于预测来自不同地理位置的原油系统的PVT数据时,显示出很高的相对误差。这意味着,为了以高精度预测原油系统的PVT数据,需要开发局部PVT相关性。

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