Survey of Successful World-Wide Asphaltene Inhibitor Treatments in Oil Production Fields
Bibliographic record
Abstract
Abstract Asphaltene deposition problems have been known to occur world wide, with serious asphaltene deposition problems being associated with oil fields in Venezuela, the Persian Gulf, the Adriatic Sea and the U.S. Gulf of Mexico. Until recently, these problems were resolved in producing fields by the use of chemical solvents, or by pigging, scraping or other mechanical means of asphaltene removal. Recent advances in asphaltene inhibitor technology have provided cost-effective methods of preventing deposition and, in many cases, increasing the production of the wells being treated. This paper will provide field data relating to the on-going successful asphaltene treatment programs being conducted in above-mentioned oil producing regions around the world. In these cases, large revenue increases were noted by the producers due either to an increase in production or reduced maintenance costs. The paper will detail the specific field parameters as well as the process employed for treating the systems. A cost, and return-on-investment will also be calculated for the treatments, where possible.
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 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".