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

Abstract

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.

Smart Drilling Technologies: Harnessing Ai for Precision and Safety in Oil and Gas Well Construction

“…By optimizing drilling operations and reducing the need for corrective measures such as sidetracking or re-drilling, smart drilling systems minimize the environmental footprint of oil and gas operations. Furthermore, real-time monitoring of drilling fluid properties and formation pressures helps prevent accidents such as blowouts, spills, and groundwater contamination, safeguarding the environment and mitigating regulatory compliance risks (Penna and Lupinacci, 2024). Overall, the emergence of smart drilling technologies represents a game-changer for the oil and gas industry, offering unparalleled opportunities to optimize operations, enhance safety, and minimize environmental impact.…”