A new model for estimating the gas compressibility factor using Group Method of Data Handling algorithm (case study)

• Published in: Asia-Pacific journal of chemical engineering 2019-05, Vol.14 (3), p.n/a
• Main Authors: Shariaty, Soroush, Khorsand Movaghar, Mohammad Reza, Vatandoost, Ashkan
• Format: Article
• Language: English
• Subjects: corresponding states; gas compressibility factor; gas reservoirs; GMDH algorithm
• ISSN: 1932-2135; 1932-2143
• DOI: 10.1002/apj.2307

It is crucial to accurately determine the gas compressibility factor (z factor) in chemical and petroleum engineering calculations. Empirical correlations are one of the most rapid and convenient methods of determining the gas compressibility factor. Most of correlations have been developed based on data from Standing–Katz chart, where for high‐pressure conditions (P > 3,000 Psia), solely the data of pure methane was adopted and finally plotted. Therefore, the performance of these correlations would deteriorate for pressurized gas reservoirs. This study intends to use the adopted data of Iranian gas reservoirs (as the second largest source) to develop an empirical correlation concerning with pressurized gas reservoirs. To this end, the correlation was presented based on corresponding states model through the robust group method of data handling algorithm. In comparison with foregone studies, results suggested improvements in prediction of gas compressibility factor with the proposed correlation by up to 9% of average absolute percentage relative error, yielding the error of 1.46% against real data.