Continuous Steam Injection Optimization using Particle Swarm Optimization

Hakim, Qary Lukmanul and Hidayat, Fiki (2022) Continuous Steam Injection Optimization using Particle Swarm Optimization. In: The 2nd International Conference on Oil & Gas Industry, Technologies & Applications, 14-15 September 2022, Sabah, Malaysia.

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Abstract

The main advantages of steam flooding are to increase the oil recovery using hot steam that is injected into the reservoir. This research aims to optimize the parameters that affect to oil recovery factor & steam oil ratio. This research will be conducted using CMG STARS and in order to make the work more effective, this research uses particle swarm optimization (PSO) to be able to optimize the parameters. The parameter is used is steam injection rate, pressure, temperature, steam quality. Therefore, it can be known the parameter are right to obtain the best recovery factor. The variation in the injection rate used are in range 700 – 1250 bbl./day, pressure in range 300 – 650 psi, temperature in range 300 – 550, and steam quality 50% - 90%. Of all the scenarios tested the best results are injection rate 1250 bbl/day, pressure 300 psia, temperature 550 F, and steam quality 90%, where recovery factor was 17.5314 % and SOR 1.6102.

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