Possible application of solar energy to power hydrocarbon extraction and enhanced oil recovery operations in high latitudes
Bibliographic record
Abstract
As the world enters the renewable revolution, it is crucial for the petroleum industry to remain relevant in the public eye and become environmentally awareness. One potential path to achieve these goals in a progressive and beneficial way is to integrate renewable energy sources into various nodes of the petroleum industrial operations. Different ways of achieving such integration are described in the review section of the article. These include utilizing solar energy to power upstream operations and a variety of enhanced oil recovery projects, such as microbial enhanced oil recovery and others, or using solar energy downstream to supply power to pumps, gas lift apparatus, etc. The article also proposes a novel potential application of solar energy to power operations and provide long-term sustainable energy source to petroleum operations in high latitudes. The potential applicability of solar power in petroleum engineering operations far North has long been neglected due to potential unprofitability and difficulty of construction of solar power grid in such harsh climactic conditions. However, now, as the world transitions to a new reality of co-existence of fossil fuels with alternative energy sources in light of growing concerns over climate change, it is a strategic time to implement the technology in profitable and environmentally conscious way in countries that have a trustworthy environmental record and strong, robust environmental policies, like Canada, as well as in less environmentally achieving countries with milder emission reduction targets such as Russian Federation.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".