Analysis of 2007 and 2008 gas hydrate production tests on the Aurora/JOGMEC/NRCan Mallik 2L-38 well through numerical simulation
Bibliographic record
Abstract
The JOGMEC/NRCan/Aurora Mallik gas hydrate production tests were conducted using the depressurization method in April of 2007 and March of 2008. These tests represent the first and so far only successful sustained production in the world of methane gas to surface from a gas hydrate reservoir by depressurization. A variety of data, such as wellhead/bottom-hole pressure and temperature, gas/water flow rates, and temperature along the casing measured by distributed temperature sensing, were acquired during the tests. The flow rates of gas and water from the reservoir sand face during the tests were estimated by comprehensive analysis of these data. Diverse history-matching simulation was then conducted to reproduce these estimated flow rates, using the numerical simulator MH21-HYDRES coded especially for gas hydrate reservoirs. This series of history-matching simulation studies quantitatively clarified the mechanisms of methane hydrate dissociation and production, as well as what had happened in the reservoir during the production tests. This paper describes the procedures and results of a series of these studies, including the analyses of production-test data, numerical modelling and history-matching simulation, which will provide beneficial insights into the mechanisms of methane hydrate dissociation and production for future exploration and development planning for gas hydrate resources.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".