Dual-Horizontal Wells SAGD Start-Up Technology: From Conventional Steam Circulation to Rapid and Uniform Electric Heating Technology
Bibliographic record
Abstract
Abstract Conventionally, the start-up method of dual-horizontal wells SAGD is steam circulation. During circulation phrase, the minimum circulation time and maximum heat communication uniform profile are expected to achieve high oil production. Generally, circulation phrase takes 2 to 3 months in Canada in high quality reservoir. For the poor quality reservoir, circulation time will be longer, for example, in China it takes 200-300 days. In order to solve the disadvantages about longer preheating time and preheating ununiformity of the conventional steam circulation method, the electric preheating method is researched, super-longer integrated coiled tubing electric heater is put down to the horizontal wells separately to heat oil formation uniformly. The heating mechanism of electric heating method is mainly based on the high temperature heat conduction. The method is less influenced by the permeability of reservoir and the viscosity of crude oil, and the heating efficiency is high. Studies show that the electric preheating method is uniform along the entire horizontal section, the effective heating inter-communication between two wells can reach to 100% theoretically, and the preheating time can greatly shortened. The optimizing results in Block Z1 of Xinjiang Oilfield indicate that the electric preheating time of SAGD is 90 days while the steam circulation time is more than 200 days and the inter-communication profile is 100%. The cost of preheating start is reduced from 420,000$ of steam circulation to 220,000$.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".