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Record W3212793722 · doi:10.11575/prism/16809

Target: zero flaring in Ecuador's Cuyabeno wildlife reserve

2004· dissertation· en· W3212793722 on OpenAlexaboutno aff
Wilson Diaz

Bibliographic record

VenuePRISM (University of Calgary) · 2004
Typedissertation
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Biodiversity
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeZero (linguistics)Nature reserveGeographyForestryEcologyArchaeologyBiologyPhilosophy

Abstract

fetched live from OpenAlex

Associated gas flaring has emerged as a controversial worldwide issue between the oil and gas industry and the public. It is not only a waste of energy and resources but it is also a threat to human and animal health, as well as a source of greenhouse gas (GHG) emissions. There is scientific evidence that associated gas emission impacts the health of living beings. Studies show changes in nature because of excessive pollutant components in the atmosphere, which worsen climate change and increase the risk of global warming, and its related consequences. Scientific research and statistics prove the relation between global warming and the burning of fossil fuel. Flaring is one of the sources of increasing pollutants in the atmosphere because fossil fuel burning generates CO2 and other heat absorbing gases. Routine flaring with incomplete combustion generates pollutants which are a thread to human and animal health. Flaring in CWR is no different than flaring in other areas. The Kyoto Protocol demands that nations ratify their willingness to limit their dependence on fossil fuels to ensure the safety of human societies everywhere. The Global Gas Flaring Reduction Public-Private Partnership (GGFR) provides technical assistance to developing countries to help them meet their goals for flaring reduction by utilization of associated gas. This Master's Degree project (MDP) is designed to assist Petroproduccion, a branch of the national oil company PetroEcuador, to find the most appropriate alternative for reducing flaring currently occurring in three oil batteries within the Cuyabeno Wildlife Reserve (CWR) in Ecuador. The primary objective of this research is to find and develop a local market for the flared gas in CWR and to identify and discuss with Petroproduccion technical personnel the alternatives for utilization of flared gas as a practical way to reduce the threat of flaring emissions in CWR. Alternatives for reducing flaring were researched and evaluated for applicability in remote areas and an overview of financing opportunities with the Kyoto Protocol CDM carbon credit to make a viable project was researched. This project is an important tool for Petroproduccion's decision-making on several alternatives to flaring reduction. Cutting-edge technology applications were reviewed and screened for their environmental, economic and social aspects. Finally, the alternative of on-site power generation at each of the three batteries in CWR to generate electricity which will be transmitted by interconnected grids to all oil fields in CWR and to houses in the nearby communities is recommended. The ultimate benefits of the implementation of this project are the efficient utilization of flared gas, an increase in" oil production, and an improvement in the quality of life for people living in the communities of Cuyabeno, Sansahuari, and VHR. Key Words: Cuyabeno National Park. Associated gas flaring. Greenhouse gases. Climate Change. Global Warming. Ecuador electrification plan. Alberta Energy Utility Board (EUB). Clean Air Strategy Alliance. CAPP. Global Gas Flaring Reduction (GGFR). Kyoto Protocol. Clean Development Mechanism CDM). Certificate Emissions Reduction (CER). Carbon Credit. Technology transfer.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.008
GPT teacher head0.185
Teacher spread0.177 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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