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Record W7120416456

Evaluation of the metal concentration heavy and hydro-carbons in the ground of the oil field Fazenda Belém in the cities of Aracati and Icapuí in the State of the Ceará

2008· dissertation· pt· W7120416456 on OpenAlexaboutno aff
Angela Maria de Alcantara Neves

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2008
Typedissertation
Languagept
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsInfiltration (HVAC)Oil fieldOil spillHydrology (agriculture)PetroleumOil sandsGroundwater
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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.248
Teacher spread0.226 · 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 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
Published2008
Admission routes1
Has abstractyes

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