2011
DOI: 10.1111/j.1747-5457.2011.00507.x
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Reservoir Quality Assessment and Petrofacies of the Lower Cretaceous Siliciclastic, Carbonate and Hybrid Arenites From the Jequitinhonha Basin, Eastern Brazil

Abstract: A study of the rift to early drift phase, fluvial, deltaic and shallow-marine Lower Cretaceous (Upper Aptian to Lower Albian) siliciclastic sandstones, hybrid arenites and calcarenites from the Jequitinhonha Basin, eastern Brazilian margin, has shown that the distribution of diagenetic alterations and of related reservoir quality evolution can be constrained within a sequence stratigraphic framework. Description of cores, wireline logs, thin sections and petrophysical (porosity and permeability) analyses were … Show more

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Cited by 11 publications
(4 citation statements)
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“…Higher values of macropores together with larger pore-throat apertures and less tortuosity result in improved connectivity and storage space for petroleum (e.g. Tobin et al, 2010;Jardim et al, 2011). On the other hand, micropores containing high residual water saturations tend to be poorly connected (e.g.…”
Section: Porosity Evolution Mechanismmentioning
confidence: 98%
See 1 more Smart Citation
“…Higher values of macropores together with larger pore-throat apertures and less tortuosity result in improved connectivity and storage space for petroleum (e.g. Tobin et al, 2010;Jardim et al, 2011). On the other hand, micropores containing high residual water saturations tend to be poorly connected (e.g.…”
Section: Porosity Evolution Mechanismmentioning
confidence: 98%
“…Implications for reservoir quality Methods of sandstone reservoir quality prediction have primarily been developed in conventional reservoir sandstones (e.g. Moraes and Surdam, 1993;Gier et al, 2008;Morad et al, 2010;Jardim et al, 2011). Nevertheless, they can also be applied to tight-gas sandstones to predict sweet spots (Tobin et al, 2010;Ozkan et al, 2011).…”
Section: Porosity Preservationmentioning
confidence: 98%
“…Petrofacies is a method that attempts to overcome these limitations by identifying the main properties that impact reservoir quality (Kopaska-Merkel & Friedman, 1989;Bhattacharya et al, 2005;Jardim et al, 2011), and mapping them into recognizable units at the well log scale. This framework usually integrates inputs from different tools and scales, such as core, thin sections, well logs, routine petrophysical core analysis (RPCA), Micro-CT, among other analytical tools.…”
Section: Machine Learning Applied To Reservoir Characterization In Th...mentioning
confidence: 99%
“…RPCA, mercury injection capillary pressure, electron microscopy, scanning electrical microscope, X-ray diffraction) (Koteska-Merkel & Friedman, 1989;Jardim et al, 2011;Herlinger Jr., 2017).…”
Section: Geological Settingmentioning
confidence: 99%