Optimization of a Brazilian FPSO Fuel Consumption for Petroleum Composition with Maximum Oil and Gas Content Using Genetic Algorithm Method
CHALLENGE - FPSO (Floating, Production, Storage and Offloading) units are applied in primary petroleum processing, including pre-salt layer, oil and gas treatment, gas compression for export, seawater treatment and injection. Moreover, FPSO units have a technical advantage in short-lived and marginal fields where fixed offshore installations are impractical and where building a pipeline is cost-prohibitive in remote locations.
Considering the relevance of the FPSO for Brazilian petroleum market, the main goal of this project is to provide an optimization procedure on Primary Petroleum Platform operating under maximum oil/gas composition of the crude oil configuration, based on coupling of thermodynamic modeling and optimization method.
SOLUTION - Thermodynamic modeling is conducted by commercial software Aspen HYSYS® whereas the integration with Genetic Algorithm (GA) method is done by commercial software ESTECO modeFRONTIER.
The input parameters are: Inlet pressure of the first heat exchanger, pressure drop in the cold side of the first
heat exchanger, pressure drop in the cold side of the second heat exchanger, output pressure of the first
separator for second stage, output pressure of the first separator for second stage, input pressure of the third
stage in separation train and output pressure of the main gas compressor. The objective function is the fuel
consumption of the Primary Petroleum Plant.
SOLUTION - The optimal operational parameters found by optimization procedure presented reduction of 4.6% in fuel consumption compared to the baseline operational condition. Moreover, optimized configuration provided a significant reduction of fuel power consumption, showing that the approach considered herein is and efficient to design FPSO units.