Mercury intrusion porosimetry and 2D DIA applied to the estimation of pore-structure parameters and permeability
Roseane M. Misságia, Lorena Figueiredo, Marco Ceias, Irineu Lima Neto
Abstract
Roseane M. Misságia, Lorena Figueiredo, Marco Ceias, Irineu Lima Neto
Abstract
Reservoir characterization requires an understanding of rock’s textural and mineralogical characteristics as well as geometric properties of the porous space. Pore geometry also control key petrophysical properties that determine reservoir quality of reservoir with respect to the productibility. In this study were quantified pore structure parameters and their influence on absolute permeability in a set of carbonate samples, using the integration of Mercury Intrusion Porosimetry (MIP) and 2D Digital Image Analysis (DIA) Methods. The man aim was to verify the interdependence between geometric properties and porosity to estimate the absolute permeability, using a multiple linear regression methodology (MLR). Presentation Date: Wednesday, October 17, 2018 Start Time: 1:50:00 PM Location: 202A (Anaheim Convention Center) Presentation Type: Oral
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Reservoir characterization requires an understanding of rock’s textural and mineralogical characteristics as well as geometric properties of the porous space. Pore geometry also control key petrophysical properties that determine reservoir quality of reservoir with respect to the productibility. In this study were quantified pore structure parameters and their influence on absolute permeability in a set of carbonate samples, using the integration of Mercury Intrusion Porosimetry (MIP) and 2D Digital Image Analysis (DIA) Methods. The man aim was to verify the interdependence between geometric properties and porosity to estimate the absolute permeability, using a multiple linear regression methodology (MLR). Presentation Date: Wednesday, October 17, 2018 Start Time: 1:50:00 PM Location: 202A (Anaheim Convention Center) Presentation Type: Oral
Key concepts: Petrophysics, Mercury intrusion porosimetry, Porosimetry, Intrusion, Permeability (electromagnetism), Mercury (programming language), Porosity, Computer science