Analysis of the current state of shale gas field development in Canada and around the world
Bibliographic record
Abstract
This review article examines the current state of shale gas development in Canada and globally, focusing on the technological, economic, and environmental aspects of extraction. The study includes an analysis of current trends in the shale revolution, industry development prospects, and key challenges faced by countries in exploiting these deposits. The article pays special attention to the innovative technologies used in shale gas extraction, including horizontal drilling and hydraulic fracturing, which have significantly altered the energy landscape. The economic efficiency and competitiveness of shale gas production are also considered, which is crucial for understanding its impact on global energy markets. A review of the environmental consequences associated with shale gas extraction, such as water resource pollution, greenhouse gas emissions, and other negative impacts on the environment, highlights the need for the development and implementation of sustainable technologies. An essential part of the article is the systematic analysis of global reserves and the extent of shale gas development in key countries, such as the United States of America and Canada. The Canadian experience in developing shale gas fields, particularly in the provinces of Alberta and British Columbia, is analyzed in the context of global trends, allowing for the identification of both successes and challenges associated with shale gas extraction in various regions. Thus, the article provides a comprehensive understanding of the current state and future directions of the shale gas industry, based on data from various sources and conducting a comparative analysis of the technological, economic, and environmental factors affecting this rapidly evolving sector.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.020 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".