Development of a multi-objective decision-making model to recover flare gases in a multi flare gases zone

Zeinab Hamidzadeh, Sourena Sattari, Mohammad Soltanieh and Ali Vatani

Energy, 2020, vol. 203, issue C

Abstract: In this paper, a systematic investigation and modeling of all available technologies (such as NGL, injection in pipelines, LNG, GTL, NGH, and CNG plants, EOR, electricity production by thermal power plants, and water generation by MED technologies) for flare gas recovery has been developed. An optimal combination of the technologies has been proposed for flare gas recovery of five oil wells in the south of Iran with different specifications as case studies. The optimal combinations of all the technologies have been investigated with minimizing the payback period of capital costs (economical) and maximizing CO2 pollutant reduction (environmental) objective functions by using the genetic algorithm, NSGA II, and decision-making methods, TOPSIS and LINMAP. By technical, economic and environmental modeling of the flare gas recovery technologies in MATLAB software, the final results show that the outlet gas of the NGL plant (100% of flare gas) is assigned to EOR (70% of dry gas), the gas turbine (4% of dry gas), the combined cycle power plant (26% of dry gas) and water generation (80% of gas turbine’s flue gases). The capital costs associated with the implementation of the proposed methodologies 410.8 million dollars and the return payback period is 1.08 years.

Keywords: Flare gas recovery; Natural gas liquid (NGL); Multiple-effect distillation (MED); Enhanced oil recovery (EOR); Combined cycle power plant (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:203:y:2020:i:c:s0360544220309221

DOI: 10.1016/j.energy.2020.117815

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