On the issue of acid treatment of the well bottomhole
Bibliographic record
Abstract
Relevance. The need to understand the features of reservoir and well interaction. To solve a number of scientific and engineering problems, it is currently necessary to stabilize the flow rate. World practice shows that many deposits in Siberia, Canada, Mexico, Venezuela are represented by heavy oils, which contain a significant amount of paraffins, resins and asphaltenes. When the temperature at the bottomhole decreases, the sedimentation of these components negatively affects the filtration and capacity properties. They are soluble in acid solutions, resulting in positive effect, which consists in increasing the efficiency of bottomhole zone treatment, as an aftermath of which the productivity of wells increases, which is an important task in the context of rising prices for hydrocarbons. Therefore, a more efficient use of the existing well stock, which, in comparison with drilling new wells, is the most rational from an economic point of view is realized. Aim. Theoretical substantiation using hydrodynamic modeling, which allows estimating the duration of acid treatment and efficiency in terms of increasing productivity. Mathematical calculation of the specified characteristics based on initial formation and well data. Using modern methods of perforation, acid treatment of the bottomhole zone, it is possible to stabilize or increase oil production by affecting the bottomhole of production wells. Methods. Mathematical modeling based on the course of underground hydromechanics and static methods. Results and conclusions. The conducted mathematical analysis allows determining the main parameters of the solution injected into the well. Based on the data of the calculation formulas it is possible to determine the time of injection to stabilize the parameters of the formation. The proposed work has a special practical value, since acid treatment increases productivity by 10–20%, which in these conditions even with a small well flow rate is significant. With the given parameters, production was 3.5 t/day, after the acid treatment, an increase in the filtration and capacity characteristics of the bottomhole zone by 17% is observed.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".