The Kitchen Prospects, Cook Inlet Alaska: A Giant Natural Gas Accumulation
Bibliographic record
Abstract
Abstract Natural gas reserves potentially rivaling those of the North Slope have been recently identified in two, never before tested structures, in the Cook Inlet Basin, Alaska. The discovery is a culmination of years of local geological experience, and seismic analysis of existing data using the Energy Absorption Analysis technique (Mitchell, 1997). It is undoubtedly the largest hydrocarbon reservoir discovery in the Cook Inlet, Alaska. They have been named as the Kitchen Prospects. One structure, which has never been tested before, is estimated to hold recoverable reserves of at least 12.7 Trillion cubic feet of gas (Tcf), which is 1 and ½ times the ultimate recovery of the Cook Inlet Basin prior to this discovery (Sherwood, 2001). The total identified recoverable natural gas reserves are estimated to be over 27 Tcf, three times the ultimate gas reserves of the Cook Inlet Basin. Full field development, based on past experiences could exceed 3 billion cubic feet of gas per day (Bcf/d). Current natural gas production in the Cook Inlet is 215 Bcf/year, net (DOE/EIA, 2001). The limited natural gas market in the Cook Inlet area (local consumption, a fertilizer plant and a small LNG plant) would pose a severe problem in developing new large natural gas reserves. However, the recent national move towards natural gas as the premier fuel of the future the recent energy crisis in California and the West Coast become compelling reasons for the expansion of the existing LNG terminal, or for a new floating LNG, which could supply California with at least 500 MMCF/d. Other options include the substantial expansion of the Ammonia/Urea plant (another 145 MMCF/d) and supplying the city of Anchorage, and Southern Eastern Alaska in general, a political obstacle to the proposed, and more logical, natural gas pipeline from the North Slope under the Beaufort Sea and down the McKenzie Delta to the Canadian pipeline system and into the United States.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".