Dresser-Rand, a Siemens Power and Gas business, received an order for four SGT-A35 gas turbine power generation packages and two SGT-A35-driven DATUM CO2 compressor packages for MODEC's Sépia floating production, storage, and offloading (FPSO) vessel.
The vessel, FPSO Carioca MV30 will be deployed at the Sépia field operated by Petrobras, located in the giant ‘pre-salt’ region of the Santos Basin approximately 250 km off the cost of Rio de Janeiro, Brazil. In addition, Siemens will provide long-term expert service and maintenance for the supplied components.
MODEC is responsible for engineering, procurement, construction, mobilisation, installation and operating the FPSO. The equipment is scheduled for delivery in late 2018. Once operating in 2021, the FPSO is expected to process 180,000 barrels per day of crude oil and have a storage capacity of 1,400,000 barrels of crude oil.
For power generation on the vessel, Siemens will supply four SGT-A35 gas turbine power generation packages. The SGT-A35 aeroderivative gas turbine (formerly the Industrial RB211), coupled with an MT30 2-pole synchronous power turbine from the marine Trent engine has millions of hours of proven experience.
In addition, two SGT-A35-driven DATUM compressor trains will re-inject CO2 to more than 250 bar (3,626 psi) pressure. With the DATUM compressor's high-pressure and high-density compression technology, the total footprint can be reduced when compared to a conventional compression and pumping module. This attribute makes the technology uniquely suited for offshore applications such as an FPSO where space and weight are critical factors.
“The advanced technology offered by our new offshore SGT-A35 turbine package, our extensive experience with Petrobras' FPSO projects, and the well-documented success of our DATUM CO2 compressor technology were key to secure this important project,” said Dresser-Rand head of new equipment solutions Matthew Chinn. “In addition, for the next two decades our world-class services team will help ensure the long-term optimal performance of the equipment.”