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Journal article

Life performance of oil and gas platforms: Site integration and thermodynamic evaluation

In Energy 2014, Volume 73, pp. 282-301
From

Department of Mechanical Engineering, Technical University of Denmark1

Thermal Energy, Department of Mechanical Engineering, Technical University of Denmark2

Technical University of Denmark3

International Research Institute of Stavanger4

Oil and gas platforms are energy-intensive systems, which operate under changing boundary conditions over time. In this paper, the life performance of an offshore platform is analysed by comparing three representative stages of an oil field (early-life, plateau and end-life productions). The energy requirements are assessed by a process integration study, and the system inefficiencies are pinpointed by performing an exergy accounting.

The heating and cooling requirements vary significantly over time, and most inefficiencies take place in processes where chemical exergy is consumed (50-55%), thermal exergy is transferred (15-20%), or mechanical exergy is varied (10-15%). These findings are valid for all production periods: this suggests that more attention should be paid on a proper integration of the processing and utility plants, by, for instance, recovering heat from the turbine exhausts and from the exported gas.

Multi-objective optimisations are conducted for evaluating the integration of steam and organic Rankine cycles, considering thermodynamic, economic and environmental performance indicators. They indicate that the profitability of a given improvement measure mainly depends on (i) the field properties, (ii) the platform operating strategy, and (iii) the production stage of the oil field.

The implementation of steam networks appears promising, as it results in a better performance of the offshore platform and in larger economic profits.

Language: English
Year: 2014
Pages: 282-301
ISSN: 18736785 and 03605442
Types: Journal article
DOI: 10.1016/j.energy.2014.06.021
ORCIDs: Nguyen, Tuong-Van and Elmegaard, Brian
Other keywords

Energy efficiency

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