Estimation of potential barium sulfate (barite) precipitation in oilfield brines using a simple predictive tool
Bibliographic record
Abstract
Scale deposition is one of the most important and serious problems that limits and sometimes blocks oil and gas production by plugging the oil producing formation matrix or fractures and perforated intervals. One of the most insoluble substances formed from formation water (brine) and one that is very difficult to remove once formed on equipment, formation matrix or fractures and perforated intervals is barium sulfate. It is so insoluble that quantitative analysis methods for both barium and sulfate are based on the precipitation of barium sulfate. In this work a simple‐to‐use predictive tool is developed to estimate potential barium sulfate (barite) precipitation in oilfield brines that are predominantly sodium chloride solutions as a function of sodium chloride concentration and temperature. Estimations are found to be in excellent agreement with reported data in the literature with average absolute deviation being <1.3%. The tool developed in this study can be of immense practical value for experts and engineers to have a quick check of barium sulfate scale formation at various conditions without opting for any experimental trials. In particular, petroleum and process engineers would find the approach to be user‐friendly with transparent calculations involving no complex expressions. © 2012 American Institute of Chemical Engineers Environ Prog, 32: 860–865, 2013
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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 | 0.001 |
| 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".