Bibliographic record
Abstract
Summary When we recognize that oil and gas were formed in the geological past, we admit that they are subject to depletion. Production in any place has to start at zero on discovery and end at zero on exhaustion, reaching a peak in between. Yet, such an understanding confounds classical economics, which holds that there can be no shortage in an open market and that one resource is seamlessly replaced by a substitute as need arises. With modern methods, engineers can determine the size of an oilfield accurately, so there should be no particular technical difficulty in determining where we are on the depletion curve. The problem is in the reporting. In plain language, Proved Reserves, mean Proved-so-Far for financial purposes, not necessarily describing the full field. The consequential "Reserve Growth" gives the misleading impression that more is being found than is the case. Todetermine our position on the depletion curve we need the right numbers and the right dates of discovery, and we need to define carefully what to measure. Oil from a free flowing well is not the same as hydrocarbon extracted from a tar sand. If we could hire detectives to smoke out the real 2002 data for what we can call cheap and easy Conventional Oil (excluding tar sand and heavy oils, deepwater and polar oils, and NGL from gas fields), we would probably find that the World has found about 1770 billion barrels. Of that, about 870 Gb are left. Extrapolating discovery shows about 130 Gb more to find. We are therefore close to the half-way mark when production must begin to decline, reflecting the peak of discovery in the 1960s. Furthermore, what is left is most unevenly distributed. It is as simple as it is disturbing. The last Century was driven by a cheap and abundant supply of oil- this Century won't be. Introduction Discovery of conventional oil peaked in the mid-1960s. Since the early 1980's production has out-paced discoveries by nearly 150 Gb-roughly one and a half times the reserves of Iraq. Today, even with advances in technology and including deep water developments, only one barrel is found for every three barrels produced. With declining discoveries and increasing demand, the debate within the industry is if world oil production is nearing peak and may in fact be on plateau. Conventional vs. Non-conventional Oil Reserves It is common practice to distinguish conventional from nonconventional hydrocarbons. The family of hydrocarbons is a large one. Each member has its own endowment in Nature, its own characteristics, costs, and depletion profile. It is obvious that you can deplete light oil flowing 20,000 barrels a day from a Middle East well much more quickly than you can extract oil from a heavy tar sand in Canada. About 95% of all oil produced to date-and 90% of todayâ??s production-comes from this group of hydrocarbons called conventional oil. It will continue to dominate supply until well past peak.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".