Aging Impact on Thermal Performance of the Aspen Wet Insulated Flowlines
Bibliographic record
Abstract
Abstract Wet insulation systems have been used in deepwater development projects in the petroleum industry for many years, with various successes and failures being observed. This paper presents a case study: the Aspen wet-insulated flowline system - the original design and the thermal performance in early days, and now after 8 years in production. Using production flow rates from the daily reports, with temperature and pressure data provided by the subsea and topsides online monitoring sensors, OLGA simulations were performed to calculate the arrival temperatures at the host and compare them against the field gathered data. Additional simulations were subsequently performed to benchmark the model thermally and determine the effective overall heat transfer coefficient of the Aspen flowline systems. This information will help the industry to better understand the performance of an aged wet insulation system. Introduction The Aspen field is located approximately 150 miles south-southwest of New Orleans, LA, in water depths of 3,100 ft in Green Canyon 243. The oil field was discovered in 1Q 2001 with BP as the designated operator and co-owners with Nexen Petroleum USA Inc. The subsea well development (Wells AA1 and AA2) was brought online in 4Q 2002. Fluid is transported for processing at the Bullwinkle platform, located approximately 16 miles to the northwest in Green Canyon 65 in 1,353 ft of water. The original subsea production system consists of two PLEMS at the well location connected to the host with dual 7 inch flowlines and catenary risers. A rigid pigging jumper connects both PLEMs together to provide round trip pigging capability for hydrate management, paraffin removal, and production flexibility to accommodate the various production schemes and well testing requirements of the multi-well system, see Figure 1. The subsea wells are controlled via an electro-hydraulic control system with an integrated umbilical running from the host facility to an umbilical termination assembly (UTA) adjacent to the subsea trees. Hydraulic connection from the UTA to the tree is via steel tube flying leads, and from the tree to each associated PLEM also via similar type flying leads. Dual redundant power and communication electrical flying leads (EFLs) are also connected from the UTA to the trees and from the trees to the PLEMs for instrumentation. The flowlines and risers are insulated with 2.64 inches of GSPU (Glass Syntactic Polyurethane), which allows the flowline operating temperatures to be maintained above the in-situ wax appearance temperature and provides the required cooldown time for hydrate management. In order for the system as a whole to meet the required cooldown time, the field joints are constructed of solid polyurethane with a minimum of 4 mm overbuild so as to provide a similar U-value to the GSPU insulated flowlines. The subsea trees, well jumpers and PLEMs are insulated with pour-in-place GSPU foam while the jumper connectors are insulated with insulation doghouses.
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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".