Environmental Liabilities in Oil and Gas Industry and Life-Cycle Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This extended abstract provides an overview of the environmental liabilities of oil and gas assets, asset retirement obligations (AROs) and environmental reporting requirements under the regulatory regimes in Alberta, in Canada and International Financial Reporting Standards (IFRS). Lifecycle asset liability and environmental management processes are associated with abandonment, remediation and reclamation, decommissioning and closure. Alberta's production of conventional oil and gas and oil sands projects has resulted in increased concerns related to climate changes and environmental liabilities of oilfield assets. More stringent regulatory compliance and standards have been developed and are likely to continue. Operators are responsible for the costs to comply with environmental regulations and take sufficient social responsibilities. The industrial experience of discharging liabilities has indicated that planning at early stages of the operation and managing asset liability bring a reduced cost and risk. Full lifecycle cost-effective and efficient environmental management begins with planning and successful acquisition. The best estimate calculation can be based on internal or external costs, depending on which is most likely.
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.
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 it