All’s Well that Ends Well: Addressing End-of-Life Liabilities for Oil and Gas Wells
Bibliographic record
Abstract
The recent downturn in energy prices has shone a spotlight on the issue of cleaning up inactive oil and gas wells. In Alberta, mounting insolvencies have caused the number of “orphaned” wells – i.e., without a financially accountable owner – to balloon from fewer than 100 to 3, 200 in the past five years. With low energy prices, that list of wells risks growing longer. Of the roughly 450, 000 wells registered in the province, approximately 155, 000 are no longer producing but not yet fully remediated. These wells impose potential risks and costs not borne by those who benefited during the productive phase. These include the opportunity cost of taking up land that can’t be used for other purposes, risks to households from released gas and explosions, risks to the local environment from water and soil contamination, and broader risks due to leaking greenhouse gases. Moreover, the cost to clean up wells from no-longer-viable owners has the potential to spill over to surviving firms in the industry and, ultimately, citizens. In a stress test, we estimate the potential social cost of well liabilities to be as high as $8 billion. Alberta, along with other energy producing provinces in Canada, has a system in place to manage the risk of end-of-life well liability. However, a system that worked in the past is now strained under the weight of low prices. In addition, a recent court decision placing financial creditors in higher priority than environmental liabilities has further degraded the efficacy of current policies. This speaks to the need for reform. To its credit, the Alberta government is in the midst of consultations on reforming the province’s well liability policies. In this Commentary, we propose a two-part solution of partial bonding and mandated insurance for existing and new wells. First, we recommend the province introduce an upfront bonding requirement. However, this bonding requirement should be less than the full expected liability cost. This recognizes that society should accept some risk in exchange for greater economic activity, as well as aligning with the time profile of a well’s net asset value. Second, once a well enters the inactive phase, the province should require companies to hold insurance to cover the cost of cleaning up the well. In comparison to a strict time limit on inactive wells, an insurance requirement would allow firms to weigh the increased cost of holding unproductive wells against the potential value of returning them to production. We hope our recommendations are considered by the current Alberta review of end-of-life well policies, due to report by the end of 2017.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.012 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 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".