Optimising the gas-oil ratio for enhanced production

The Gas-Oil Ratio (GOR) in oil and gas production is the focus of this study. The objective of this research is to maximise the GOR in order to increase operational efficiency, reduce costs, and maximise resource utilisation. Under the conditions of the simulation, light crude oil was used, the API gravity was set to 17, the temperature was set to 66 °C, the pressure was set to 3447 kPa, and the feed flow rate was set to 37 kgmole/hr. Version 11 of Aspen HYSYS was used in order to carry out the simulation project. A three-phase separator was used for the goal of understanding how the GOR, flowrates, capital costs, and energy requirements are affected by the various High-Pressure (HP) gas pressures. The results suggested that there is a direct link between the pressure of the HP gas and the GOR, with a decrease in GOR being identified when the pressure of the HP gas that corresponded to it increased. The fact that there was a shift towards a production stream that was more liquid-rich was brought to light by this trend, which resulted in a decrease in both the amount of energy that was used and the amount of money that was spent on operational expenditures. After careful consideration, it was established that the best range for GOR is between 814.4 and 905.5. This range achieves a compromise between the efficiency of production and the management of costs. When it comes to the optimisation of manufacturing processes, the findings shed light on the usefulness of simulation tools such as Aspen HYSYS. The usual methods of GOR estimation are replaced by these technologies, which provide a reliable alternative.

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Publication Details

Journal
Global Journal of Engineering and Technology Advances
Published
2025-03-18
DOI
https://doi.org/10.30574/gjeta.2025.22.3.0052
Primary Topic
Oil and Gas Production Techniques
Type
article
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article

Optimising the gas-oil ratio for enhanced production

Obumneme Onyeka Okwonna, Arinze JohnPaul Chukwu, Peter Muwarure
2 links
Global Journal of Engineering and Technology Advances
Oil and Gas Production Techniques
article

Optimising the gas-oil ratio for enhanced production

Obumneme Onyeka Okwonna, Arinze JohnPaul Chukwu, Peter Muwarure
article en

Abstract

The Gas-Oil Ratio (GOR) in oil and gas production is the focus of this study. The objective of this research is to maximise the GOR in order to increase operational efficiency, reduce costs, and maximise resource utilisation. Under the conditions of the simulation, light crude oil was used, the API gravity was set to 17, the temperature was set to 66 °C, the pressure was set to 3447 kPa, and the feed flow rate was set to 37 kgmole/hr. Version 11 of Aspen HYSYS was used in order to carry out the simulation project. A three-phase separator was used for the goal of understanding how the GOR, flowrates, capital costs, and energy requirements are affected by the various High-Pressure (HP) gas pressures. The results suggested that there is a direct link between the pressure of the HP gas and the GOR, with a decrease in GOR being identified when the pressure of the HP gas that corresponded to it increased. The fact that there was a shift towards a production stream that was more liquid-rich was brought to light by this trend, which resulted in a decrease in both the amount of energy that was used and the amount of money that was spent on operational expenditures. After careful consideration, it was established that the best range for GOR is between 814.4 and 905.5. This range achieves a compromise between the efficiency of production and the management of costs. When it comes to the optimisation of manufacturing processes, the findings shed light on the usefulness of simulation tools such as Aspen HYSYS. The usual methods of GOR estimation are replaced by these technologies, which provide a reliable alternative.

Global Journal of Engineering and Technology AdvancesVol. 22(3)
Openalex Percentile: Top 93%
Oil and Gas Production Techniques
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Optimising the gas-oil ratio for enhanced production — Obumneme Onyeka Okwonna, Arinze JohnPaul Chukwu, et al. · Global Journal of Engineering and Technology Advances (2025) | TGRS Research Map | TGRS