2019
DOI: 10.1016/j.petrol.2019.106451
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A workflow for reservoir characterization applied to presalt coquinas from the Linguado Field, Campos Basin, Brazil

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Cited by 10 publications
(2 citation statements)
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“…Under a given pressure, the mercury at room temperature is pressed into the pores of the rock sample, and the contact surface between the capillary and the mercury will generate a capillary force in the opposite direction to the external pressure, thereby preventing the mercury from entering the capillary. When the pressure increases above the capillary force, the mercury will continue to penetrate the pores (Li C. L. et al, 2015;Pecanha et al, 2019). Therefore, a pressure value applied from the outside can be used to measure the size of the corresponding pores.…”
Section: ) High Pressure Mercury Intrusion Experimentsmentioning
confidence: 99%
“…Under a given pressure, the mercury at room temperature is pressed into the pores of the rock sample, and the contact surface between the capillary and the mercury will generate a capillary force in the opposite direction to the external pressure, thereby preventing the mercury from entering the capillary. When the pressure increases above the capillary force, the mercury will continue to penetrate the pores (Li C. L. et al, 2015;Pecanha et al, 2019). Therefore, a pressure value applied from the outside can be used to measure the size of the corresponding pores.…”
Section: ) High Pressure Mercury Intrusion Experimentsmentioning
confidence: 99%
“…A series of recent articles uses quantitative seismic interpretation techniques to characterize presalt reservoirs. Acoustic and elastic inversions are recurrent themes, as well as the use of impedance volumes for modeling reservoir properties, such as porosity and facies classification (Teixeira et al, 2017;Dias et al, 2019;Peçanha et al, 2019;Penna et al, 2019;Penna and Lupinacci, 2021). Acoustic impedance data has also been frequently used for the classification of multi-attribute seismic facies in presalt carbonate reservoirs (Jesus et al, 2019;Ferreira et al, 2019;Ferreira et al, 2021).…”
Section: Introductionmentioning
confidence: 99%