The Belanak FPSO Project - A Description of the Challenges in Designing and Building One of the Most Complex FPSOS to Date and the First To Incorporate LPG Processing and Export
Bibliographic record
Abstract
This reference is for an abstract only. A full paper was not submitted for this conference. Abstract The Belanak FPSO was installed in the Belanak Field in October 2004 and should reach full production in the 3rd quarter of 2005. It will form the central production hub for a number of fields in Indonesia's West Natuna Seaarea, including Belanak, Belut, Kerisi and Tawes. ConocoPhillips is the operator for Block B with Inpex and ChevronTexaco as equity partners. Belanak has the capability to process and export 350mmscfd of sales quality gas, up to100,000 bpd of stabilized crude and 23,000 bpd of LPG in separate propane and butane streams. Flowlines from two 24 slot wellhead platforms transport raw well fluids to the FPSO, where they are processed and exported as crude via a loading buoy, gas via pipelines to Malaysia and Singapore or as LPG to a separate storage tanker to be moored in the Belanak Field. The Belanak facilities are designed for a 30 year life and offer considerable flexibility to accommodate future fields and deal with incoming hydrocarbon streams as well as deal with H2S, CO2, Mercury and Mercaptans. The vessel was designed and built in Asia with project management and design being conducted in Singapore, the 285m hull was fabricated in China, and the topsides were built and integrated in Indonesia. With approximately 25,000tonnes of topsides process equipment which includes LPG fractionation as well as 1.2 million barrels of oil storage, Belanak is one of the most complex FPSOs built by the industry to date. This paper will further describe the Belanak FPSO and discuss some of the challenges that the operator and its contractors faced in designing and delivering this production facility on schedule and within budget expectations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".