Thesis (Ph.D.)-- Memorial University of Newfoundland, 1992. / Restricted until May 1993. Typescript. Bibliography: leaves 480-515. Also available online.

Thesis (M.Sc.)--Memorial University of Newfoundland, 2006. / Restricted until October 2007. Bibliography: leaves 182-200. Also available online.

Thesis (Ph. D.)--University of Michigan, 1932. / Cover title. The first article is by C.R. Harte, jr., E.M. Baker, and H.H. Purcell; the second by C.R. Harte, jr., and E.M. Baker. "Reprinted from Industrial and engineering chemistry, vol. 25 ... May and October, 1933." "Literature cited": p. 10,12.

Thesis (doctoral)--Université Pierre et Marie Curie, 1978. / Cover title. Includes bibliographical references (leaves 223-231).

Thesis (M.S.)--University of Missouri-Columbia, 2004. / Typescript. Includes bibliographical references (leaves 92-98). Also available on the Internet.

Techn. Universiẗat, Diss., 2003--Berlin.

Thesis (M.S.) -- Mississippi State University. Department of Geosciences. / Title from title screen. Includes bibliographical references.

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The Arctic marine system is currently undergoing transition as a result of climate change. This study examines the effects of this transition on rates of air-sea CO2 exchange within the eastern Canadian Arctic. Continuous seawater pCO2 measurements revealed this area to be a strong summertime sink of atmospheric CO2. Total alkalinity and stable oxygen isotopes were utilized as freshwater tracers, revealing areas of significant sea ice melt and riverine inputs. Eastern Baffin Bay and Barrow Strait were found to be strongly influenced by sea ice melt, lowering seawater pCO2; whereas Kennedy Channel contained significant river discharge, raising seawater pCO2. Primary production in surface waters was low throughout the region, with the exception of Petermann Fjord where glacial ice melt likely transports nutrients to the surface. This region is anticipated to represent a weaker CO2 sink in the future, due mainly to predicted decreases in sea ice thickness and extent. / February 2016

Submitted by Emanuel Varela Cardoso (emanuel.varela@ufcg.edu.br) on 2018-08-30T23:05:10Z No. of bitstreams: 1 CARLOS HENRICKSON BARBALHO DE MOURA – DISSERTAÇÃO (PPGEPM) 2018.pdf: 10493787 bytes, checksum: 063013097342f1433f86bc8ac8434722 (MD5) / Made available in DSpace on 2018-08-30T23:05:10Z (GMT). No. of bitstreams: 1 CARLOS HENRICKSON BARBALHO DE MOURA – DISSERTAÇÃO (PPGEPM) 2018.pdf: 10493787 bytes, checksum: 063013097342f1433f86bc8ac8434722 (MD5) Previous issue date: 2018-03-28 / Capes / A petrofísica computacional é uma técnica que vem sendo utilizada cada vez mais na indústria do petróleo para caracterizar reservatórios e simular computacionalmente o seu comportamento físico. Através dessa técnica é possível caracterizar um elevado número de amostras, sob diferentes condições ambientais, em um tempo relativamente curto. Este trabalho propõe um modelo de estimativa de permeabilidade que utiliza parâmetros petrofísicos retirados de imagens de microtomografia de raios x (µCT) e os compara com parâmetros petrofísicos medidos em laboratório. Foi analisado um conjunto de 19 amostras com características deposicionais, diagenéticas e texturais diferentes entre si, pertencentes às bacias do Araripe, Potiguar e Sergipe-Alagoas. Delas, 14 são de calcário, 2 de tufa calcária, 2 de caliche e 1 de dolomito. Em laboratório foi utilizado um permoporosímetro a gás para medir os parâmetros porosidade e permeabilidade. As amostras de µCT foram adquiridas com resolução em torno de 2,0 µm. O conjunto de imagens criado foi tratado no software Avizo Fire e foram extraídos os parâmetros porosidade, permeabilidade, conectividade e diâmetro equivalente de poros. Um modelo estatístico foi estabelecido para predição da permeabilidade a partir dos parâmetros do espaço poroso extraídos das imagens de µCT. Os resultados indicam que a conectividade dos microporos, inferida a partir do cálculo do Número de Euler em imagens 3D, é o parâmetro que exerce maior influência na estimativa da permeabilidade, seguida pela porosidade dos macroporos e pela conectividade dos macroporos. O modelo preditivo proposto apresentou um coeficiente de determinação de 0,994, mostrando-se bastante confiável para o grupo de amostras investigado. / Computational petrophysics is a technique that has been increasingly used in the petroleum industry to characterize reservoirs and to simulate computationally its physical behavior. Through this technique it is possible to characterize a big number of samples, under different environmental conditions, in a relatively short time. This work proposes a model of permeability estimation that uses petrophysical parameters taken from x - ray microtomography images (µCT) and compare them with petrophysical parameters measured in the laboratory. It was analyzed a set of 19 samples with different depositional, diagenetic and textural characteristics, belonging to the Araripe, Potiguar and Sergipe - Alagoas basins. Of these, 14 are limestones, 2 of tufa limestone, 2 of caliche and 1 of dolomite. In the laboratory a gas permoporosimeter was used to measure the porosity and permeability parameters. µCT samples were obtained with a resolution of about 2.0 μm. The set of images created was treated in Avizo Fire software and the porosity, permeability, connectivity and pore diameter parameters were extracted. A statistical model was established to predict permeability from pore space parameters extracted from µCT images. The results indicate that the connectivity of micropores, inferred from the calculation of the Euler Number in 3D images, is the parameter that exerts the greatest influence in the estimation of permeability, followed by the porosity of the macropores and the connectivity of the macropores. The proposed predictive model presented a coefficient of determination of 0.994, being very reliable for the group of samples investigated.