Non‐OPEC production near to decline
Bibliographic record
Abstract
Last year, the world produced some 82.2 mn bpd of crude oil and natural gas liquids (NGL), of which 48.2 mn bpd, or 59%, came from countries outside OPEC. Most of these non‐OPEC countries are now mature oil‐producers, in long term decline (see Box ). A few have still to reach peak output, but non‐OPEC production as a whole is within a few years of its peak, after which any net increase in world oil supplies will have to come entirely from OPEC. NON‐OPEC PRODUCERS Most non‐OPEC producers are past their peak of production and are in long term decline. Some others are close to their long term peak and will shortly go into decline. A few have arrested the process of decline and may even succeed in increasing their output from present levels, but any increase will prove only temporary ‐ lasting a few years at the most ‐ and these countries too will resume their long term decline. A handful of countries have yet to attain their peak level of production and will go on increasing their output for a number of years. The principal non‐OPEC producers may be classified as follows: Countries with declining output Argentina Gabon Romania Bahrain Great Britain Syria Brunei India Tunisia Cameroon Norway Turkmenistan Congo (Brazzaville) Oman USA Egypt PNG Yemen Countries that have temporarily arrested their decline Canada Russia Peru Trinidad & Tobago Countries close to their peak Australia India Thailand China Malaysia Vietnam Denmark Mexico Ecuador Sudan Countries where output is still growing Angola Brazil Mauritania Azerbaijan Chad Bolivia Kazakhstan Source: Pearl Oil
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".