A Systematic Investigation of Barite and Zinc Sulfate Scale Inhibition in a Produced Water Stripper
Bibliographic record
Abstract
Abstract Oilfield scale deposition is a common problem causing production deferment, safety issues, and equipment damage. This paper presents the laboratory testing data and some field data for barium sulfate (barite) and zinc sulfide (ZnS) scale control. It demonstrates possible synergetic scale inhibition effects and successful field implementation based on laboratory results in a produced water stripping system. Literature shows barite scale can be effectively prevented by phosphonate inhibitors and polymer inhibitors. Effective ZnS scale inhibitors are not commercially available, so dispersants are commonly used to suspend the ZnS scale particles in production fluids carrying the particles through the system without deposition. Ten scale inhibitors were evaluated for this system: Product A (combination of phosphonate inhibitor and ZnS dispersant); Product B (polymer inhibitor), Product C (polymer inhibitor), Product D (chelator), and Product E (chelator), Product F (phosphonate inhibitor + polymer inhibitor), Product G (phosphonate inhibitor + polymer inhibitor), Product H (phosphonate inhibitor + polymer inhibitor), Product I (phosphonate inhibitor + polymer inhibitor), and Product J (phosphonate inhibitor). Aerobic bottle tests, anaerobic bottle tests, and kinetic turbidity tests evaluated the potential scale risk at various scaling conditions including ∼3,000 mg/L SO42-, 1.1-78 mg/L Ba2+, 0.56 -5.6 mg/L Zn2+, 25-250 mg/L H2S, and pH (3.2-7.5). Product F (phosphonate/dispersant) prevented barite and ZnS most effectively in lab testing but was incompatible with the process system, so Product G, the second best performer, was field trialed. Product C prevented barite scale formation at low dosage and eventually prevented ZnS formation at very high concentrations.
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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".