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Although computed tomography (CT-Scanning) has been regularly applied to core analyses in petroleum geology, there is still a need to improve our ways to document porosity and porosity distribution in the entire pore scale spectrum, from the tens of nanometer to the meter-scale. Porosity imaging is particularly crucial for complex and heterogeneous rocks such as hydrothermally altered and fractured carbonates. The present work proposes a improved method using medical-CT to reliably estimate reservoir porosity. An in-house core-flooding setup allowed to analyse several individual core samples, scanned simultaneously (dry and saturated), as well as continuous core sections up to 1.5 m long. Without any prior knowledge of samples, three-dimensional alignment and subtraction of the two data sets (dry and saturated states) results in the generation of 3D porosity matrices. The methodology tested on a large set of reference core material shows a strong correlation between conventional gas porosimetry techniques and porosity from CT-scan. The added value of the porosity measurements by CT-scan is, first of all, the generation of 3D images of pore network, allowing to assess spatial attributes of macropores, their distribution and connectivity. Secondly, the CT-scan method also provides continuous porosity profile at the millimetric scale. Both developments are crucial for the understanding of reservoir rock properties.

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Early diagenetic silica is distributed unevenly in Phanerozoic sponge-spicule-rich carbonate mounds. In Paleozoic mounds, replacive silica occurs principally at the microscopic scale, whereas in Mesozoic strata, it is frequently present as nodular chert. This paper explores the possibility of advective-dispersive loss of dissolved pore-water silica for explaining the contrasting styles of silica cycling in mounds. Four examples of spicule-rich mounds were transcribed into hydrogeological conceptual models: two weakly silicified Paleozoic mounds with stromatactis (Silurian, Carboniferous), and two strongly silicified Jurassic mounds (one stromatactis mound, one sponge mound). Monte-Carlo fluid flow simulations utilized literaturederived ranges of effective porosity while hydraulic conductivity of component hydrostratigraphic units provided quantitative constraints.For the Paleozoic examples, the strata aggrade and prograde, which creates shallowing-upward trends. Mesozoic examples aggrade and retrograde, resulting in deepening-upward trends, and stratigraphic condensation and fluid baffling (interpreted from hardgrounds and black shale). For the Silurian and the Jurassic stromatactis-mound models, simulations of advectivedispersive silica mass transport were performed by applying different compaction-driven fluid fluxes (based on stratigraphic data). The Silurian mound displays vertical flushing, but high silica concentrations prevail in off-mound and flank deposits. The Jurassic case maintains a stratiform-like silica distribution over tens of thousands of years. The two other cases (Carboniferous, Jurassic) used an identical low fluid flux. The simulations which match field observations (silica-depleted mound versus stratiform chert) occur at different time scales, realistic for the Jurassic case but unrealistic for the Carboniferous case because it lacks the required degree of stratigraphic condensation to establish a silica-depleted mound.The results suggest that the variation of fluxes of dissolved pore-water silica in Phanerozoic spicule-rich mounds is controlled by mass accumulation or sediment burial rate. During the Paleozoic, mound formation is commonly associated with shallowingupward trends (high to intermediate accumulation rates), whereas Mesozoic mound formation more commonly extended into condensed sections with low mass accumulation and respective low rates of compaction-driven fluid flow. The Mesozoic extension of spicule-rich carbonate mounds into the condensed section might be related to an intensification of benthic-pelagic coupling established during the Mesozoic marine revolution.