Bibliographic record
Abstract
As Chairman of the OE 2005 conference in Aberdeen, what issues do you think will attract particular interest at this year’s conference? I think that general interest will be focused on how the industry can build and maintain production. There will obviously be a focus on the North Sea and the changes that will occur in the region as it becomes a mature basin. Therefore, I believe that there will be a lot of discussion about the technology needed to increase recovery factors. And there will undoubtedly be some spillover of the debate into where new production will come from and who is going to develop it. So I’m also expecting to hear discussion about the Middle East and Russia as well as on the roles of the national oil companies, the major integrated companies, and the independents. One issue facing the North Sea region is how to manage a maturing production business. What new opportunities exist here for the service sector? The main opportunity is to innovate to enhance recovery. North America and Canada already provide many opportunities for specialized services and specialized service companies. If you look at the Canadian market in particular, there are lots of companies that focus on one particular aspect of the business. So I think you will begin to see a service industry fragmented into specialists in particular aspects of managing and enhancing production from mature basins rather than a service industry organized around large development projects. Technology in the North Sea will become more and more fit for purpose if companies can justify the enhanced recovery process at a reasonable cost. So there will be many opportunities for both the big service companies as well as the smaller, local service operations.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".