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    <title>DSpace Communidade:</title>
    <link>http://repositorio.ufc.br/handle/riufc/22263</link>
    <description />
    <pubDate>Fri, 14 Aug 2026 03:02:52 GMT</pubDate>
    <dc:date>2026-08-14T03:02:52Z</dc:date>
    <item>
      <title>Geoquímica orgânica da Bacia de Barreirinhas: Caracterização das rochas geradoras, do potencial de hidrocarbonetos e da maturidade térmica</title>
      <link>http://repositorio.ufc.br/handle/riufc/87041</link>
      <description>Título: Geoquímica orgânica da Bacia de Barreirinhas: Caracterização das rochas geradoras, do potencial de hidrocarbonetos e da maturidade térmica
Autor(es): Lopes, Francisco Vitor Moreira
Abstract: The present study aims to characterize the results of geochemical analyses of the Barreirinhas Basin, located on the Brazilian Equatorial Margin, to assess its hydrocarbon generation potential. For this purpose, samples provided by the National Agency of Petroleum, Natural Gas, and Biofuels (ANP) were analyzed, collected from wells in the onshore, offshore, and deep-water domains of the basin. The main techniques used include the determination of total organic carbon (TOC) content, Rock-Eval pyrolysis, and vitrinite reflectance (Ro), which are fundamental for characterizing the organic matter present in the rocks and its thermal maturation. The methodology involved data organization, complementary calculations—such as vitrinite reflectance estimation and the production index (PI)—as well as the correlation of results with specific geological formations. The Barreirinhas Basin comprises three active petroleum systems: Codó-Bom Gosto, Codó-Tutóia, and Preguiças-Travosas, whose source rocks exhibit variable organic carbon contents, reflecting different hydrocarbon generation potentials. The results indicated significant variations in geochemical parameters between the onshore and offshore sections, highlighting differences in thermal maturation and the quality of the source rocks.The analysis of Tmax and Ro values revealed that some formations, such as Bom Gosto/Arpoador, have reached the ideal maturity stage for oil generation, whereas others, such as the Bonfim/Preguiças Formations, remain in immature stages. Lateral correlation profiles were generated by integrating geochemical data with the lithological profiles of the wells, allowing the identification of depositional trends and potential hydrocarbon accumulation zones. The interpretation of the data reinforces the tectonosedimentary complexity of the basin, influenced by processes associated with the transform margin. It is concluded that the Barreirinhas Basin presents significant exploratory potential, requiring further studies to better delineate the most promising areas for oil and gas exploration.
Tipo: TCC</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/87041</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Ocorrência de elementos terras raras nos rególitos do Batólito Pereiro e Faixa-Orós Jaguaribe</title>
      <link>http://repositorio.ufc.br/handle/riufc/85399</link>
      <description>Título: Ocorrência de elementos terras raras nos rególitos do Batólito Pereiro e Faixa-Orós Jaguaribe
Autor(es): Souza, Calebe Garcez Nascimento Mendonça de
Abstract: This study aimed to investigate the potential occurrence of rare earth elements (REEs) in different geological units located in the southeastern portion of the state of Ceará and in the westernmost areas of the states of Rio Grande do Norte and Paraíba, Brazil. The research was based on prior planning involving cartographic analysis and interpretation of thorium (Th) geophysical anomalies, followed by fieldwork carried out in a single campaign with systematic sampling of rocks, altered rocks, and autochthonous soils. The samples were analyzed using Scanning Electron Microscopy coupled with Energy Dispersive Spectrometry (SEM–EDS), with emphasis on the granulometric fraction smaller than 0.125 mm. The results indicate that the augen gneisses of the Serra do Deserto Suite show the most significant REE enrichments, with the detection of yttrium (Y), lanthanum (La), neodymium (Nd), cerium (Ce), and hafnium (Hf), mainly associated with accessory minerals resistant to weathering. No significant REE anomalies were identified in the São Miguel Suite, Dr. Severiano Suite, or the Poço Dantas Pluton; however, localized enrichments of barium and tin were detected, the latter associated with hydrothermal environments. It is concluded that the integration of geophysical data, multiscale sampling, and SEM–EDS analyses proved effective in identifying areas favorable to REE concentration, highlighting the Serra do Deserto Suite as the unit with the greatest potential.
Tipo: TCC</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/85399</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Interpretação sísmica avançada de canais em águas profundas usando análise multiatributo e aprendizado de máquina: estudo na Bacia do Ceará, Margem Equatorial Brasileira</title>
      <link>http://repositorio.ufc.br/handle/riufc/83878</link>
      <description>Título: Interpretação sísmica avançada de canais em águas profundas usando análise multiatributo e aprendizado de máquina: estudo na Bacia do Ceará, Margem Equatorial Brasileira
Autor(es): Morais, Miguel Rodrigo Cavalcante de
Abstract: The Brazilian Equatorial Margin (BEM) has garnered scientific interest due to the discovery of oil and gas reserves in its African counterpart and the offshore basins of Guyana, Suriname, and French Guiana. Foz do Amazonas, Potiguar, and Ceará basins stand out as promising targets due to their geological similarities, including the presence of reservoirs formed by turbidite. The Ceará Basin, part of the BEM, is subdivided into the Mundaú, Icaraí, Acaraú, and Piauí-Camocim sub-basins. This study aims to&#xD;
investigate the evolution of a channel system formed between the Albian and Maastrichtian, during the drift phase of the Icaraí sub-basin, a region less explored compared to the Mundaú sub-basin. A seismic volume of 2700 km², provided by TGS and processed using Full Waveform Inversion (FWI), was utilized, consisting of depthmigrated data with 4240 inlines and 2922 crosslines, spaced 12.5 meters apart. The research employs machine learning methods to interpret the evolution of these channels and infer possible infilling lithologies, overcoming the scarcity of well data in the area. The method used in this study was based on multi-attribute analysis and Self-Organizing Maps (SOM) to indirectly interpret the lithologies within the channel. Two channels were identified, both showing stratigraphic control with variations in internal patterns reflecting changes in depositional or erosional processes. The width of the channels in the&#xD;
proximal zone is approximately 2 km, increasing to 4 km in the distal zone. To better describe this evolution, a hierarchical classification model was applied, segmenting the study into proximal, intermediate, and distal areas. The results show that the evolution of the channels occurs distinctly as they move away from the continental margin. Initially,&#xD;
both channels exhibit highly confined and erosive characteristics, indicating high-energy conditions. As they progress into more distal areas, the channels become wider, potentially forming submarine fans. This widening promotes the development of significant turbidite elements (levees, overbanks), with sediment dispersal to the east, accompanied by the deposition of materials transported by the two channels. Additionally,&#xD;
large mass transport complexes were identified in the system, associated with variations in channel energy levels. These complexes not only influence depositional dynamics but also induce directional changes in the channels throughout their evolution. The Icaraí subbasin, still largely underexplored and with no deep-water well records, showed significant&#xD;
potential for increased exploratory studies through the application of machine learning methods combined with high-resolution seismic data. This approach enabled advances inthe geomorphological and stratigraphic understanding of the region, contributing to a more comprehensive understanding of the dynamics and evolution of the Late Cretaceous interval of the basin.
Tipo: TCC</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/83878</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Uso do sensoriamento remoto para identificação de ferro e carbonato em uma região do Domínio Médio Coreaú</title>
      <link>http://repositorio.ufc.br/handle/riufc/82600</link>
      <description>Título: Uso do sensoriamento remoto para identificação de ferro e carbonato em uma região do Domínio Médio Coreaú
Autor(es): Rodrigues, Antonio Lucas Freitas; Oliveira, Maria Eugênia de Almeida
Abstract: This study evaluates the potential of remote sensing for the identification of iron deposits and&#xD;
carbonate rocks in the Médio Coreaú Domain, Ceará, using multispectral images from the&#xD;
Sentinel-2 satellite, processed with QGIS 3.34 software in a Geographic Information System&#xD;
(GIS) environment. Digital image processing techniques were applied, including RGB&#xD;
composition, band ratio, normalized difference vegetation index (NDVI), principal component&#xD;
analysis (PCA), and supervised classification. The theoretical framework addressed concepts&#xD;
of remote sensing, electromagnetic radiation, and spectroradiometry, essential for analyzing the&#xD;
spectral reflectance behavior of materials. The spectral response of iron oxides (Fe³⁺ and Fe²⁺)&#xD;
and carbonates, characterized by absorption features in specific regions of the electromagnetic&#xD;
spectrum (VNIR and SWIR), was analyzed to differentiate mineralogical compositions. The&#xD;
results indicated that the Random Forest algorithm provided the best performance in&#xD;
distinguishing mineral classes. The study demonstrated that the integration of orbital data with&#xD;
geoprocessing techniques offers an efficient, accurate, and cost-effective approach for mineral&#xD;
prospecting, contributing to the advancement of exploration practices in the mineral sector of&#xD;
Ceará.
Tipo: TCC</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufc.br/handle/riufc/82600</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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