Overview of wireline-logging analysis in the Aurora/JOGMEC/NRCan Mallik 2L-38 gas hydrate production research well
Bibliographic record
Abstract
In order to evaluate the productivity of gas hydrate by the depressurization method, Japan Oil, Gas and Metals National Corporation and Natural Resources Canada carried out a full-scale production test in the Mallik field, Mackenzie Delta in April 2007 and March 2008. An extensive wireline-logging program was conducted in 2007 to evaluate physical reservoir properties of gas-hydrate-bearing sediments, to determine production-test and water-injection intervals, to evaluate cement bonding, and to interpret gas hydrate-dissociation behaviour throughout the production test. New open-hole wireline-logging tools, such as the Magnetic Resonance ScannerTM, True Resistivity ScannerTM, Sonic ScannerTM, and other advanced logging tools, such as Elemental Capture SpectroscopyTM, were deployed to obtain precise data on the occurrence of gas hydrate, lithology, gas hydrate pore saturation, porosity, and permeability. Perforation interval of the production-test and water-injection zones was determined through a multidisciplinary approach, using geological-petrophysical analysis and interpretation of open-hole logging data, construction of layered reservoir models, quick reservoir numerical simulations for several perforation scenarios, and operational constraints. A gas-hydrate-bearing formation from 1093 to 1105 m KB was selected for the 2007-2008 production test, and three zones (1224-1230, 1238-1256, and 1270-1274 m KB) were selected for the injection of produced water. Cased-hole logging measurements with the Reservoir Saturation ToolTM, Accelerator Porosity SondeTM, and Sonic ScannerTM were also conducted to evaluate physical-property changes of the gas-hydrate-bearing intervals before and after the production test (time-lapse analysis). Analysis of these cased-hole logging data provided important knowledge about gas hydrate-dissociation behaviour.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".