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Energy optimization of an FPSO operating in the Brazilian Pre-salt region.
- Source :
-
Energy . Dec2018, Vol. 164, p390-399. 10p. - Publication Year :
- 2018
-
Abstract
- Abstract FPSO (Floating, Production, Storage and Offloading) units are used for primary petroleum processing. The FPSO units have a technical advantage for short-lived well exploration and for remote marginal fields, where building a pipeline is cost-prohibitive. Considering the relevance of the FPSOs for the Brazilian petroleum market, the main goal of this paper is to present an optimization procedure to find the best operating conditions of a primary petroleum platform processing crude oil with high gas-oil ratio (GOR) and moderate CO 2 content. Seven input parameters related to operating pressures of plant are selected for the optimization procedure aiming to minimize the total fuel consumption (FUE) of the FPSO. For the optimization procedure, the processing plant of the FPSO is modeled and simulated by using Aspen HYSYS®, and the Genetic Algorithm is used for minimizing the objective function. The optimum operating condition found by the optimization procedure presented a reduction in fuel consumption by 4.6% when compared to a conventional operating condition. Moreover, because of the fuel consumption optimization, a significant reduction by 6.3% in the power consumption of the plant and an improvement in the recovery of the volatile components were verified, in comparison with the baseline case. Highlights • A FPSO processing crude oil with high GOR and moderate CO2 content was modeled and optimized. • Real performance data of an offshore gas turbine was considered. • The integration of Aspen HYSYS with an external optimizer based on Genetic Algorithm was conducted. • Significant reductions of fuel consumption and CO 2 emission were achieved by optimization. • Real data of a FPSO operating in the Brazilian pre-salt basin was used. [ABSTRACT FROM AUTHOR]
- Subjects :
- *OIL well pumps
*PETROLEUM prospecting
*OIL fields
*ENERGY consumption
*POWER plants
Subjects
Details
- Language :
- English
- ISSN :
- 03605442
- Volume :
- 164
- Database :
- Academic Search Index
- Journal :
- Energy
- Publication Type :
- Academic Journal
- Accession number :
- 132336489
- Full Text :
- https://doi.org/10.1016/j.energy.2018.08.203