Carbonate reservoirs, accounting for majority of the world’s hydrocarbon reserves, are well known for their heterogeneity and multiscale pore characteristics. The pore sizes in carbonate rock can vary over orders of magnitudes, the geometry and topology parameters of pores at different scales have a great impact on flow properties. A relatively simple way to integrate a set of digital pore spac...

Modeling and computing transport in the subsurface is a difficult problem that requires good understanding of the relations among different processes at various different length and time scales, and their effective properties. Already at the pore scale, ranging from a few micrometers to millimeters, direct flow simulation in a detailed medium geometry assuming Stokes flow is extremely costly. N...

This study presents a workflow to predict the upscaled absolute permeability of rock core direct from CT images whose resolution is not sufficient allow pore-scale computation. exploits deep learning technique with data raw rocks and their corresponding value obtained by performing flow simulation on high-resolution images. The map much larger region in predicted trained neural network. Finally...

[1] The transport of colloid-contaminant complexes and colloid-sized pathogens through soil to groundwater is of concern. Visualization and quantification of pore-scale colloid behavior will enable better description and simulation of retention mechanisms at individual surfaces, in contrast to breakthrough curves which only provide an integrated signal. We tested two procedures for quantifying ...

We propose an experimental methodology to visualize asphaltene precipitation in the pore space of rocks and assess reduction permeability. perform core flooding experiments integrated with X-ray microtomography (micro-CT). The simultaneous injection pure heptane crude oil containing induces space. degree is controlled by measurement differential pressure across sample. After precipitation, dope...