Bibliographic record
Abstract
There was a major turning point for US natural gas industry due to the price hike since 2000. While most players, including the government, headed toward LNG import, limited others chose to stay in domestic unconventional gas development in Texas, so called Shale Gas.The Shale Gas revolution is not something that just happened recently and the early sign could be seen since 70's.North American natural gas market has been controlled by the government in 80's and 90's, keeping lower price, but such special technologies like horizontal drilling, hydraulic fracturing and microseismic, were progressed steadily by ambitious challengers even under low price environment.There were certain grounds behind the sudden rise of “Shale Revolution” in North America, except the price factor.1. High quality and huge resource potentialAbundant high quality shale formations are extended virtually from coast to coast, which has been flourished through the application of proper usage of the advanced technologies and lessons learned from their “trials and errors”2. InfrastructureMost shale opportunities are residing where conventional oil & gas fields are located as a source to enable hydrocarbon charges to the fields, hence easy to be monetized using the advantages of existing infrastructures.3. WaterIn general, there are easy accesses the water sources to enable sizeable fracking operationsAt Mitsubishi, we initiated our study to consider the possible export of natural gas into Japan, to take the full advantage of the Shale revolution in the North America. Through the extensive study, we concluded to focus on the Canadian shale gas potential as Mitsubishi's priority as LNG feed, because of; their favorable location being approximate to Japan, its geopolitical stability which best fit as our favored supplier, and the low natural gas market being the lowest in the North America.Furthermore, the mammoth resources potential of Canadian Shale Gas enables us to envision long and stable supply possibilities in comparison with any other existing LNG projects.There still remains challenging milestones to realize this concept, but such can be overcome through each step by step.We believe we can bring “Japan-flagged” Canadian gas into Asian region in the near future.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".