Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 39-47 |
| Number of pages | 9 |
| Journal | Industrial & Engineering Chemistry Product Research and Development |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2015 |
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Keywords
- artificial lift
- gas lift
- gas lift optimization á
- genetic algorithm á
- mathematical model á npv
- maximization
- oil production
- rate
- reservoir simulation
- á discount rate
Cite this
Optimization of gas lift allocation for improved oil production under facilities constraints. / Ghassemzadeh, Shahdad; Pourafshary, Peyman; Jung, Sun-Young; Lim, Jong-Se; Rashid, Kashif.
In: Industrial & Engineering Chemistry Product Research and Development, Vol. 5, No. 3, 2015, p. 39-47.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Optimization of gas lift allocation for improved oil production under facilities constraints
AU - Ghassemzadeh, Shahdad
AU - Pourafshary, Peyman
AU - Jung, Sun-Young
AU - Lim, Jong-Se
AU - Rashid, Kashif
PY - 2015
Y1 - 2015
N2 - AbstractGas lift system increases oil production rate by injection of compressed gas into the lower section of tubing. The purpose of gas lift optimization is to allocate a limited amount of gas in order to maximize oil production rate. Optimizing gas lift allocation is important since inordinate gas injection rate reduces oil production rate. In this study, gas lift allocation was optimized in order to maximize the oil production rate using a genetic algorithm under the limiting conditions of the gas lift system. The oil production rate with optimal gas lift allocation was predicted. A reservoir simulator was integrated with a multiphase flow simulator for an accurate prediction of the oil production in gas lift system. The results showed that the oil production can be improved by optimizing the gas lift allocation, and the oil production rate can be estimated with the optimized gas lift allocation for the gas lift system.
AB - AbstractGas lift system increases oil production rate by injection of compressed gas into the lower section of tubing. The purpose of gas lift optimization is to allocate a limited amount of gas in order to maximize oil production rate. Optimizing gas lift allocation is important since inordinate gas injection rate reduces oil production rate. In this study, gas lift allocation was optimized in order to maximize the oil production rate using a genetic algorithm under the limiting conditions of the gas lift system. The oil production rate with optimal gas lift allocation was predicted. A reservoir simulator was integrated with a multiphase flow simulator for an accurate prediction of the oil production in gas lift system. The results showed that the oil production can be improved by optimizing the gas lift allocation, and the oil production rate can be estimated with the optimized gas lift allocation for the gas lift system.
KW - artificial lift
KW - gas lift
KW - gas lift optimization á
KW - genetic algorithm á
KW - mathematical model á npv
KW - maximization
KW - oil production
KW - rate
KW - reservoir simulation
KW - á discount rate
U2 - 10.1080/12269328.2015.1084895
DO - 10.1080/12269328.2015.1084895
M3 - Article
VL - 5
SP - 39
EP - 47
JO - Industrial & Engineering Chemistry Research
JF - Industrial & Engineering Chemistry Research
SN - 0888-5885
IS - 3
ER -