Predictive Tool for Gas Compressibility Factor at High Pressure High Temperature
Predictive Tool for Gas Compressibility Factor at High Pressure High Temperature
复制标题
高压高温下气体压缩系数的预测工具
DOI：
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复制
发表时间：
2019
期刊：
影响因子：
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通讯作者：
andOyinkepreye D. Orodu
中科院分区：
文献类型：
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作者：
I. I. Azubuike;S. S. Ikiensikimama;andOyinkepreye D. Orodu
天然气z因子的预测是基础石油工程计算所必需的，它使人们能够监测气田的管理。本文研究的重点是高压高温气藏压缩系数预测工具的研制。现有的大多数关联式在气藏压力较高时误差较大。利用Mat Lab对尼日尔三角洲地区153个天然气样品的测量数据进行了回归分析。相关比较采用统计分析和交叉图分析。新的相关性优于其他评估模型，平均绝对误差(MAE)为0.9262，相关系数(R)为0.996，秩数为0.8919。该模型与实测值吻合较好，性能曲线较好。建立的关联式是气体密度、还原温度和还原压力的函数，适用于还原温度为1.7~3.0、还原压力为10~20的情况。
Prediction of gas z-factor is required for fundamental petroleum engineering calculations that allow one to monitor the management of gas fields. This work focuses on the development of predictive tool for gas compressibility factor for high pressure high temperature gas reservoirs. Majority of the exiting correlations give large errors at high gas reservoir pressure. The 153 measured data of natural gas sample from Niger Delta region was regressed using Mat Lab. Statistical analysis and cross plots were used in the correlation comparison. The new correlation outperformed other evaluated models with a mean absolute error (MAE) of 0.9262, coefficient of correlation (R) of 0.996 and Rank of 0.8919. The model matched closely to the measured data with a good performance plot. The developed correlation is a function of gas density, reduced temperature, and reduced pressure and is valid for reduced temperature of 1.7 3.0 and reduced pressure of 10 20.