Regulation and policy working group
Bibliographic record
Abstract
The potential environmental impact of offshore platform disposal can be illustrated by both the numbers of platforms and the complexity of their abandonment options. Some 7,000 platforms are in place worldwide. In the US, approximately a quarter of the platforms are more than 25 years old and in sight of their end of service. In addition, 22,000 miles of pipeline are located on the Outer Continental Shelf (OCS) in the United States. There are more offshore platforms in the U.S. Gulf of Mexico than in any other single area in the world. It is estimated that between October 1995 and December 2000, approximately 665 of the nearly 3,800 existing structures will be removed. Couple this with the mammoth size, the vagaries of the ocean, and the levels of sometimes conflicting international and federal laws, and the magnitude of the challenge to protect the environment becomes clear. The Offshore International Newsletter (11/06/95) stated, {open_quotes}In three of the last four years, annual Gulf of Mexico platform removals have exceeded installations, a trend that will likely continue.{close_quotes} Between 100 and 150 platforms have been removed from the OCS each year for the past six or seven years. As increasing numbers of wells, pipelines, and platforms are decommissioned and disposed of, it is important that the relevant techniques, policies, and regulations be discussed and evaluated. The goal of this workshop is to facilitate and document this discussion in an open, objective, and inclusive way. Since U.S. practices and policies provide precedents for other countries, international participation is encouraged and anticipated.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".