2022
DOI: 10.1306/10042120171
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Excess permeability in the Brazil pre-Salt: Nonmatrix types, concepts, diagnostic indicators, and reservoir implications

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Cited by 20 publications
(6 citation statements)
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“…This also includes fabric selective (mouldic porosity) that has been dissolutionally enhanced/enlarged. These non‐matrix features are typically distributed randomly, where local mechanical and chemical processes play a role in their distribution (Fernandez‐Ibanez et al ., 2022). This classification follows that of Lucia (1995) for vuggy pore space.…”
Section: Field Data Analytical Methods and Core Descriptionsmentioning
confidence: 99%
“…This also includes fabric selective (mouldic porosity) that has been dissolutionally enhanced/enlarged. These non‐matrix features are typically distributed randomly, where local mechanical and chemical processes play a role in their distribution (Fernandez‐Ibanez et al ., 2022). This classification follows that of Lucia (1995) for vuggy pore space.…”
Section: Field Data Analytical Methods and Core Descriptionsmentioning
confidence: 99%
“…This section delves into the nuanced responses of data inputs within porous environments, particularly focusing on carbonate reservoirs renowned for their intricate porosity systems. These systems are categorized into porosity stemming from the matrix (interparticle porosity) and nonmatrix-related porosity, encompassing features like caves, fractures, and vugs ( [66]). The sonic log emerges as a key informant, furnishing insights into interval transit time and establishing a direct linkage with interparticle porosity.…”
Section: Responses Of the Data Inputs Against Porous Environmentmentioning
confidence: 99%
“…This filtrate, distinguished by lower density and prolonged travel time compared to the host rock, becomes a crucial indicator. Intervals exhibiting low density values and prolonged travel time, contrasted with the established background values for carbonates, are interpreted as zones with a heightened percentage of pore spaces ( [20,21,66]).…”
Section: Responses Of the Data Inputs Against Porous Environmentmentioning
confidence: 99%
“…Karst features in deep reservoirs are commonly attributed to hypogene dissolution (hypogene speleogenesis) resulting from upwelling and migration of thermal groundwaters (Andreychouk et al, 2009;Dublyansky, 1990;Klimchouk, 2007Klimchouk, , 2019. Hydrothermal alteration in carbonate reservoirs resulting in cavernous vugs and nonmatrix permeability is a common phenomenon, especially along fault and fracture zones (Álvaro, 2013;Fernández-Ibáñez, Jones, et al, 2022;Strugale & Cartwright, 2022;Zhou et al, 2014). These hypogene karst processes generate non-fabric-selective interconnected pore systems, resulting in heterogeneous porosity and highly anisotropic rock permeability (Fernández-Ibáñez, Jones, et al, 2022;Trice, 2005), which has implications not only for hydrocarbon exploration but also for the characterization of geothermal resources and groundwater reserves (Audra et al, 2022;Goldscheider et al, 2010;Montanari et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Solutional voids and karstic vugs are commonly found in quartzites and silicified (cherty) carbonates in many hydrocarbon reservoirs in sedimentary basins, such as North Slope in Alaska (e.g. Shanmugan & Higgins, 1988), offshore Brazil (De Luca et al, 2017; Fernández‐Ibáñez, Jones, et al, 2022; Lima et al, 2020) and Tarim Basin in China (Dong et al, 2018; Wei et al, 2021; You et al, 2018).…”
Section: Introductionmentioning
confidence: 99%