Using OLGA as the core tool for monitoring the subsea production system and critical production parameters will allow Eni Norge AS, as the operator of the field, to ensure optimal production and guide operators throughout the field life.
“The online simulator solution adds significant value to planning and operation. Teaming up with the world leading automation vendor ABB, we provide Goliat with a unique and powerful solution”, says Senior Vice President for Global e-Field Solutions in SPT Group, Mr. Knut Erik Spilling.
OLGA is the industry leading dynamic multiphase flow simulator. Models built in OLGA are accessible, proven and trusted by the industry. Open, reusable and modifiable models support project continuity from early design through operations and asset management.
Goliat will be the first oil field developed in the Norwegian sector of the Barents Sea. Despite a relatively modest field size, Goliat will be of considerable importance to the county of Finnmark and the future development of the petroleum industry in the far north. The production will start in 2013 and will be in operation at least 10-15 years. Goliat is owned by Eni Norge AS (65%) and Statoil Petroleum AS (35%).
Flow Assurance Solutions
The FAS continuously monitor the full production system from wells to the topside receiving facility.
The system incorporates virtual flow metering of all the production wells and tailored deduction testing. The system also covers applications and functions for handling critical operational issues such as well-testing, hydrates, wax deposition and slugging. Running the FAS into the future allows seamless advance warnings and alarms displayed in the ABB control system.
The OLGA models built for the engineering studies are adapted by SPT Group for use in the OTS, and interfaced to INDISS dynamic process simulator delivered by the simulation company RSI and a control & safety system from ABB. This provides operators integrated training on the full scope of the production system and processing facility. In addition to training for normal operation, instructors can set up failure modes for training on abnormal situations. Some of the challenging scenarios modeled in OLGA include hydrate formation, MEG injection and ramp-up.
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