Measurement of the best Z-factor correlation using gas well Inflow performance data in Niger-Delta
| dc.contributor.author | Okoro, Emeka Emmanuel | |
| dc.contributor.author | Dike, Honfre | |
| dc.contributor.author | Igwilo, Kevin C. | |
| dc.contributor.author | Mamudu, Angela | |
| dc.date.accessioned | 2025-03-04T10:41:30Z | |
| dc.date.available | 2025-03-04T10:41:30Z | |
| dc.date.issued | 2017 | |
| dc.description | A research article with diagrams, tables and graphs | |
| dc.description.abstract | Gas compressibility has a long and important history for gas industries. The use of z-factor in real gas analysis is unavoidable; hence study of the effects of different z-factor correlations against real life data was carried out. This research establishes the need and a solution for a simple, robust and flexible technique requiring the use of different z-factor correlations. The most common sources of z-factor values are experimental measurement, equations of state method and empirical correlations. Necessity arises when there is no available experimental data for the required composition, pressure and temperature conditions. Presented here is a technique to predict z-factor values using Gas Well Inflow Performance data. The three gas correlations under study are Hall and Yarborough, Dranchuk, Abu and Kassem and Dranchuk, Purvis and Robbinson. The interest of the research was to show the best Z-Factor correlation for Niger Delta. The method or approach used was to review existing models, developed a computer program to evaluate numerically the three correlations and the best correlation is shown by running a statistical absolute average error for each of the calculated gas well performance against the history inflow performance data. Based on the study analysis performed using the Niger-Delta, the Hall and Yarborough is ranked first, followed by Dranchukpurvis-Robbinson, while Dranchuk-Abu-Kaseem is recorded the last in the ranking model. Based on this study, it is recommended that the Hall and Yarborough gas deviation model is the best model for Niger Delta. | |
| dc.identifier.citation | Okoro, E. E., Dike, H., Igwilo, K. C. & Mamudu, A. (2017). Measurement of the best Z-factor correlation using gas well Inflow performance data in Niger-Delta. International Journal of Applied Engineering Research, 12(12), 3507-3522 | |
| dc.identifier.issn | 0973-4562 | |
| dc.identifier.uri | http://www.ripublication.com | |
| dc.identifier.uri | https://repository.futo.edu.ng/handle/20.500.14562/1671 | |
| dc.language.iso | en | |
| dc.publisher | Research India Publications | |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.subject | Gas compressibility factor | |
| dc.subject | gas well | |
| dc.subject | gas well inflow performance | |
| dc.subject | Niger-Delta | |
| dc.subject | Department of Petroleum Engineering | |
| dc.title | Measurement of the best Z-factor correlation using gas well Inflow performance data in Niger-Delta | |
| dc.type | Article |