Development of a Combination Corrosion-Scale Inhibitor for the Subsea Separation and Boosting Systems of the Parque das Conchas Project in Brazil
Bibliographic record
Abstract
Abstract The deepwater, low pressure reservoirs, developed as part of the Parque das Conchas project, located in block BC- 10 offshore Brazil, require artificial lift for most of their field lives to enable flow. The complexity of the artificial lift system presents a host of challenges in terms of flow assurance and asset integrity. This paper presents our laboratory efforts in developing and qualifying a novel combination corrosion-scale inhibitor (CI/SI) that is effective under these challenging conditions. This represents the first time a combination product has been developed in the oil and gas industry for a deepwater artificial lift system. Subsea boosting and separation are integral parts of the successful development and production of oil and gas from this deepwater project. The Parque das Conchas project employs subsea separators and electric submersible pumps contained within subsurface caissons. Electric submersible pumps are particularly sensitive to corrosion and scale formation due to extreme skin temperatures that can develop and often require continuous chemical injection to control these problems. The application of these chemical solutions occurs via subsea umbilicals. However, limitations in the availability of umbilical lines require the use of combination chemical solutions that effectively and simultaneously control corrosion and scale problems. High temperature rotating cage autoclave experiments as well as scale inhibitor bottle tests and dynamic tube block tests were utilized to qualify this custom combination corrosion-scale inhibitor. Conditions for both corrosion and scale testing were based on the caisson and flowline environments. The laboratory results suggest that the combination product is effective at mitigating corrosion and scale deposition under these simulated conditions. The product also displays broad chemical compatibility with produced fluids and other production chemicals. The combination corrosion-scale inhibitor also displays enhanced thermal stability, unique to this subsea application. This chemistry is the first qualified combination product for mitigation of corrosion and scale for a deepwater development requiring both subsea boosting and separation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".