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Record W2317855625 · doi:10.3720/japt.77.137

Shale gas development in Canada

2012· article· en· W2317855625 on OpenAlexaboutno aff
Hiroki Haba

Bibliographic record

VenueJournal of the Japanese Association for Petroleum Technology · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHydraulic fracturingDirectional drillingOil shaleNatural gasTight oilShale gasUnconventional oilDrillingGovernment (linguistics)Petroleum engineeringFossil fuelResource (disambiguation)GeologyEngineeringWaste managementPaleontologyComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.089
Threshold uncertainty score0.644

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0070.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.002

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.

Opus teacher head0.004
GPT teacher head0.179
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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