Steel fiber reinforced 3D printing ultra-high performance concrete (3DP-UHPC) is prepared
and experimentally studied. The effects of steel fiber content and various interlayer …

Digital rock physics is at the forefront of characterizing porous media, leveraging advanced
tomographic imaging and numerical simulations to extract key rock properties like …

Multilayer perceptron (MLP) networks are predominantly used to develop data-driven
constitutive models for granular materials. They offer a compelling alternative to traditional …

Low-salinity waterflooding, as a promising enhanced oil recovery method, has exhibited
exciting results in various experiments conducted at different scales. For carbonate rock …

Climate projections at fine spatial resolutions are required to conduct accurate risk
assessment for critical infrastructure and design adaptation planning. Generating these …

Many new and developed oilfields are confined to carbonate reservoirs with a complex void
space structure. In this study, the behavior of carbonates as a function of decreased …

ChatGPT, a prominent large language model (LLM), is being increasingly used across a
wide range of scientific fields. Geosystem engineers and researchers are also posed to …

Accurate segmentation of 3D micro CT scans is a key step in the process of analysis of the
microstructure of porous materials. In polar ice core studies, the environmental effects on the …

Fluid Dynamics is a key scientific field to multitudes of engineering applications.
Experimental work in this field requires careful set-up and expensive image-capturing …

The conventional Archie formula struggles with the interpretation of water saturation from
resistivity well log data due to the increasing complexity of exploration targets. This …