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Record W7045302623

Avaliação da concentração de metais pesados e hidrocarbonetos no solo do campo de petróleo Fazenda Belém nos municípios de Aracati e Icapuí no Estado do Ceará

2011· article· en· W7045302623 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsInfiltration (HVAC)Hydrology (agriculture)Oil fieldOil sandsOil spillPetroleumSediment
DOInot available

Abstract

fetched live from OpenAlex

This work is a preliminary evaluation for determination of background or base line in heavy metals and hydro-carbons in ground of the Fazenda Belém Oil Field Belém in the city of Aracati, State of the Ceará, for comparisons with samples proceeding from areas where oil spills have occurred. The study has involved collecting of ground samples in the area, in previously selected places, taking in consideration the geology, the type of ground, oil characteristics as density, temperature, viscosity and Basic Sediment and Water (BSW). The values of concentration for some metals in the ground, the permeability, texture, density,porosity, depth of infiltration of the oil in the ground through the simulation of oil spill had been determined in lease, besides evaluating metal texts and Hidrocarbonetos Policíclicos Aromáticos (HPA) before and after the simulation of the spill. The method to simulate the spill consisted of placing, in the sampling points, a stainless steel scaffolding with dimension of 1mX1mX0,20m, leaked, after that it was spilled oil,formed emulsion of oil percentage and another one of water, removed from the closest well next to the studied place. One waited five days so that the infiltration of the oil occurred. After the determined stated period, a cut was done in the ground,inside of the area with oil with the objective of verifying the depth of infiltration and the thickness of the layer. This depth was measured with a milimetric measuring tape. After that all the oil layer was removed, the ground was perforateed with handy tract until the depth of 1 meter and samples were collected for analysis in laboratory.The research done in the field is more representative, it allows to verify in situ what can occur in the ground in case of accident with oil spill, besides making possible the determination of the permeability and the thickness of the infiltrated oil layer, without modifying the natural characteristics of the ground. The results of the analyzes of the ground samples collected before and after the simulation of the oil spill in the three selected places have not presented contamination for Hidrocarbonetos Policíclicos Aromáticos (HPA). All the concentrations of HPAs have presented values below of the limit of detection of the used method in the analysis. The concentrations of metals have not presented significant variation in the ground samples collected before and after the simulation of the spill, being inferior to the values of reference of quality for ground of national works of the Companhia de Tecnologia Sanitária e Ambiental of São Paulo State and Fadigues and International Guidelines (Canada), List Dutch and generic values of selection for ground of the Environment Protection Agency of the United States (EPA). This work will provide support in the decontamination and cleanness of the areas in case of accidents within oil spill occurrence. The previous knowledge of the possible depth of infiltration of the oil in the ground at the temperature up to 50°C, in accordance with the permeability and porosity in the place, will make it possible a better cleanness and recoverying of the area and it will facilitate the calculation of the volume of spilled oil.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
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
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.011
GPT teacher head0.208
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

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
Published2011
Admission routes1
Has abstractyes

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