GAS LIFT ALLOCATION OPTIMIZATION STRATEGY UNDER TECHNICAL AND ECONOMICAL APPROACH USING GENETIC ALGORITHM
Gas lift is the common artificial lift method to improve oil production rate by injecting gas to the tubing through casing-tubing annulus. Gas lift optimization due to limited gas allocation to be injected in have been discussed before. In this thesis, technical and economical evaluation is deployed...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/54681 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Gas lift is the common artificial lift method to improve oil production rate by injecting gas to the tubing through casing-tubing annulus. Gas lift optimization due to limited gas allocation to be injected in have been discussed before. In this thesis, technical and economical evaluation is deployed to deciding the allocation strategy in dynamic oil price. In gas lift operation, more gas injected results higher liquid production rate until the peak in Gas Lift Performance Curve (GLPC). Otherwise, it needs more expenditure for gas compressor facilities.
GLPC of 5 wells are constructed to determine the relation between gas injection rate and oil production rate of each well. Mathematical modeling is conducted for finding mathematical correlation which represent oil production rate (y-axis) as a function of gas injection rate (x-axis) for each GLPC. The highest oil production rate is the objective function of technical approach. Hence, the gas injection rate is the optimization variable and the genetic algorithm find the optimum gas injection rate allocation to gain the highest oil production rate in limited gas allocation. While the highest daily operational revenue is the objective of economical approach. Therefore gas availability, oil production rate, gas injection rate, oil price, lifting cost and injection cost are the sensitive variable on economic model. Genetic Algorithm is conducted to find the optimum gas allocation to gain the highest operational revenue under certain economic condition. In current oil price (37.4 USD/bbl), gas lift is recommended to be conducted in low gas allocation (1883 MSCFD) in order to get the highest of revenue. Moreover, when the oil price rise up to 100 USD/bbl, the higher gas allocation (5345 MSCFD) is advised to be applied which result the highest revenue.
Gas lift operation has to consider the dynamic of oil price and operational cost of each scenario. In low oil price condition today, the challenge is not only to gain higher production rate but also how to gain revenue in every operation. |
|---|