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Record W2082820359 · doi:10.1115/etce2002/ee-29134

Environmental Management Programmes for Onshore Seismic Activity and Exploratory Drilling Operations in South East Trinidad

2002· article· en· W2082820359 on OpenAlexaboutno aff
Avryl A. Mohammed, Paul van Rijswijck, Shyam Dyal

Bibliographic record

VenueEngineering Technology Conference on Energy, Parts A and B · 2002
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum industryEnvironmental impact assessmentEnvironmental resource managementBaseline (sea)BusinessPetroleumGovernment (linguistics)Environmental planningEnvironmental scienceGeologyEnvironmental engineering

Abstract

fetched live from OpenAlex

3D Seismic survey of an area approximately 70km2 was conducted in South-East Central Trinidad in the Naparima Mayaro Reserve from January to July 1999. This activity was done with the expectation of drilling exploratory wells for finding commercially viable oil reservoirs as a joint venture operation between Vintage Petroleum Trinidad Limited (formerly Cometra Energy (Canada) Limited) and Petrotrin. The companies initiated a number of proactive Environmental Management Programmes to comply with both local and international regulations. These programmes include: • Preliminary Environmental Impact Assessment Study for Seismic Survey of a 70km2 area. • Environmental Baseline Survey for Seismic Survey inclusive of descriptions of physical, biological and socioeconomic environments, environmental audits, training and monitoring (noise and water quality). • Environmental Impact Assessment for drilling of exploratory well. • Development of Oil Spill Contingency Plan for drilling operations. The implementation of these studies resulted in a number of benefits to the joint venture oil companies, such as: • 100% compliance with Certificate of Environment Clearance Rules and International Association of Geophysical Contractors (IAGC) Guidelines. • Improved corporate image. • Enhanced relationship with Government Agencies. • Improved environmental performance through proper planning. • Trained and empowered workforce in environmental management issues. • Zero oil spills and environmental incidents to date.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.886

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.227
Teacher spread0.200 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2002
Admission routes1
Has abstractyes

Explore more

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