Selection and Application of Scale Inhibitor for Application in Oxygenated Produced Water, Norwegian Sector, North Sea
Bibliographic record
Abstract
Abstract Scale control within produced fluids both topside and downhole in oil/gas production facilities is critical to the effective production of hydrocarbons in a safe, economic and environmentally acceptable manner. This paper will focus on the scale challenges associated with production of produced water that contains significant amounts of barium, sulphate and dissolved iron ions. While this challenge is not unusual in production operations the presence of dissolved oxygen in the topside process just prior to discharge has resulted in a very challenging environment for barium sulphate scale inhibition. This paper will outline the challenge of scale control in the presence of ferrous and ferric ion. The inhibitor selection program undertaken will be outlined as well as the critical factors that had to be taken into account given this application was for offshore Norway where environmental characteristics of production chemicals can restrict the choices of chemical suitable for this application. The development of an application strategy for the selected environmentally acceptable chemical will be outlined along with the monitoring program to ensure not only that the chemical is applied at the correct treatment rate but that it performs as expected from the laboratory performance testing results and can be optimised as brine composition changes with time.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".