3D modelling of flow units and petrophysical properties in brazilian presalt carbonate

Penna, Rodrigo; Lupinacci, Wagner Moreira

doi:10.1016/j.marpetgeo.2020.104829

Cited by 25 publications

(12 citation statements)

References 24 publications

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“…𝜙 and 𝑘 estimations using FU constraints are much more accurate than seismic lithology facies as constraint. Porosity and permeability well logs confirm this, and these results were presented in Penna and Lupinacci (2021).…”

Section: D Porosity and Permeability Modellingsupporting

confidence: 80%

“…Figure 2 -SMLP and the expression of different FU in two scales of observations. Black line shows how the flow behaves in a decametric scale, while the green line shows the same in a higher scale (after Penna and Lupinacci, 2021).…”

Section: Seismic Flow Units Rock Typingmentioning

confidence: 99%

“…One advantage of working with Flow Units to constrain the estimation of porosity and permeability is shown in Fig. 5., Flow units provide a better calculation of petrophysical parameters thanusing the seismic sedimentary facies (Penna and Lupinacci, 2021).…”

Section: Flow Units Seismic Feasibilitymentioning

confidence: 99%

“…4), we performed a Bayesian classification of the volumetric occurrence probability of each flow unit. This methodology, as described by Penna and Lupinacci (2021), outputs five volumes: one discrete, called most probable FU, and four different occurrence probability volumes for each decametre flow unit. The most probable volume consists of the corresponding discrete data with the higher occurrence probability for a given sample.…”

Section: D Bayesian Flow Units Classificationmentioning

confidence: 99%

“…(c) NW-SE seismic section and interpretation of the main reservoir stratigraphy (black peak corresponds to an increasing impedance interface, white trough corresponds to a decreasing impedance interface). After Penna and Lupinacci (2021).…”

Section: Introductionmentioning

confidence: 99%

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3D Seismic Flow Units, Porosity and Permeability Modelling in Brazilian Presalt Reservoirs: An Overview

Penna¹,

Lupinacci²

2021

Proceeding of the 17th International Congress of the Brazilian Geophysical

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Contents of this paper were reviewed by the Technical Committee of the 17 th International Congress of the Brazilian Geophysical Society and do not necessarily represent any position of the SBGf, its officers or members. Electronic reproduction or storage of any part of this paper for commercial purposes without the written consent of the Brazilian Geophysical Society is prohibited. ____________________________________________________________________Rock typing into flow units (FU) is a well-known technique for characterizing flow heterogeneities in reservoirs and producing reliable estimations of petrophysical properties, such as porosity (ϕ) and permeability (k). Despite the large availability of methods that correlates a specific pore-throat size to petrophysical attributes, extrapolating FU rock typing from the core and well-log scales into the whole reservoir is a major challenge for geophysicists, due to the scale differences between data and the lack of correlation with the common-used sedimentological facies. Most 3D generations of flow units and petrophysical properties studies available in the literature are merely a geostatistical procedure, without any spatial data constraints with the 3D seismic data. We propose a new approach to discretize flow units in the core and well-logs considering the decametric scale characteristics of the seismic data, generating a 3D model of FU facies and calculating porosities and permeabilities that are more accurate than the usual estimation based on sedimentary facies. Despite the complexity of the geological setting and the reduced number of FU, we produced 3D volumes of permeability and porosity that are still capable of obtaining complex reservoir flow characteristics and could be directly considered as variables in lateral interpolation of reservoir parameters, seismic 4D interpretations and seismicassisted history matching.

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Section: D Porosity and Permeability Modellingsupporting

confidence: 80%

Section: Seismic Flow Units Rock Typingmentioning

confidence: 99%

Section: Flow Units Seismic Feasibilitymentioning

confidence: 99%

Section: D Bayesian Flow Units Classificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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