Oil- and Gas-Wellsite-Reclamation-Liability Estimation
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
Summary This paper examines abandoned-wellsite-reclamation-liability estimates under the Alberta Energy Regulator's (AER's) Licensee Liability Rating (LLR) Program. A statistical analysis of data from reclaimed wellsites in Alberta is conducted in this examination. A conclusion is that approximately one-half to two-thirds of wellsites have a reclamation liability that exceeds the generic value specified by the AER, and up to 5% of sites have a liability exceeding the AER value for problem sites. Also, a previous assertion that reclamation liability is a function of well type, well age, soil type, and land use is tested. The authors find that only well type is needed to predict reasonable reclamation liability of wellsites on agricultural land in Alberta. Given the 2016 economic situation in the Alberta oil and gas industry, the information in this paper may be useful in adjusting the required security under the LLR Program.
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