Flow-Assurance Modeling: Reality Check and Aspects of Transient Operations of Gas/Condensate Pipelines
Bibliographic record
Abstract
Abstract Statoil operates a number of gas condensate pipelines in the North Sea. This paper focuses on experience gained from operation and simulation, up to and including tail end, of the 150 km long 22' Huldra to Heimdal pipeline. During initial production at Huldra the liquid accumulation was higher than predicted by modeling. Additionally liquid surge waves not found in simulations were observed at the receiving facility. These findings were challenging due to very low liquid surge capacity in the receiving facility, and the minimum flow rate was increased. Investigations were carried out in order to explain the observations, and it was determined that condensate carry over in the Huldra scrubber significantly influenced the condensate content in pipeline. The pipeline has now entered the tail end production phase. Due to high liquid content at low production rates, water/MEG no longer reaches the receiving facility on a regular basis, causing local hydrate problems at Heimdal and a lack of MEG for re-injection. Simulations show that cyclic operation of the receiving facility will transport water/MEG out of the pipeline on a more regular basis. This change in operating philosophy may be implemented in 2006. Introduction The traditional gas condensate development had a processfacility close to the field, and the fluids would be exported through a single phase gas line and a single phase liquid line. This involved expensive process facilities at remote locations, often off-shore, and multiple pipelines. From the 1970's significant research efforts was put into multiphase transport. As the ability to design two phase (gas and hydrocarbon liquid) pipelines advanced it was sufficient to dehydrate the fluid close to the field, and the hydrocarbons were transported in a multiphase pipeline. This gave significant saving due to a simpler and smaller process facility and a single pipeline (MLNG [1] in Malaysia, BLNG in Brunei, Sable Island in Canada and Nam Con Son in Vietnam). The last step in the development has been the ability to design three phase pipelines (gas, hydrocarbon liquid and water), which was achieved in the early 1990's. This completely removes the need for the process facility, which are replaced by simple wellhead platforms (Huldra [2,3] and Troll [4] in Norway, South Pars in Iran, Ras Laffan and Qatar Gas in Qatar and Goldeneye in the UK) or complete sub-sea developments (Mensa [5] and Canyon Express [6,7] in the US, Scarab/Saffron [8] in Egypt, TOGI [9], Snøhvit and Ormen Lange [10] in Norway). Table 1 and Figure 1 summarizes the development of gas condensate pipelines by some of their key parameters, such as pipeline diameter, length, two phase versus three phase and development by wellhead platform versus subsea development. The present trend is that almost all pipelines are three phase, and most are subsea developments unless the water is shallow. handling relates to slug catcher size and plant liquid processing capacity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".