Phytoremediation and bioremediation of heavy oils in saline Alberta soils
Bibliographic record
Abstract
Alberta, Canada is well-known as a major producer of oil and gas resources and these activities are significant contributors towards the province’s economic growth. Currently, in the area of Lloydminster, Alberta, heavy oil is produced through an increasing number of oil wells managed under the Alberta Government’s directives and regulations. However, as oil wells gradually decline in oil production, operators are obligated to begin reclamation and remediation activities to ensure the land can be returned to a state for future use. Alberta is experiencing an increasing number of inactive wells with a portion of them located in Lloydminster, and many of them are remaining stagnant because they lack a fiscally and legally responsible party to manage their abandonment and reclamation process. Stagnant inactive wells can be an environmental, economic and social liability. The lack of management or monitoring in some cases fails to prevent any infrastructure failure that may leak heavy petroleum hydrocarbons and brine into the surrounding environment. \nThe various remediation processes to reduce the heavy petroleum hydrocarbon contaminants found in soils is limited when considering the high levels of salinity from brine exposure. However, phytoremediation and bioremediation using halophytes and halophiles are investigated as potential tools as a less invasive and more sustainable approach than certain costly ex-situ remediation techniques and to overcome the complication of high salinity. In addition, the integration of natural tools in an enhanced system known as multi-process phytoremediation system (MPPS) using rhizosphere and endophyte bacteria in a symbiotic relationship with plant species is an important consideration when approaching remediation of several co-existing contaminants and multiple stress factors. Lastly, several mechanisms to describe heavy metal pollutant remediation will be considered because they are commonly found in conjunction with oil well contamination in saline soils. \nIt is important to remediate the land as soon as possible to mitigate the adverse environmental and economic impacts on Alberta’s growth towards a global leader in environmental efforts.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".