DeePore 2 is a deep learning workflow for rapid estimation of a wide range of porous material properties based on the binarized micro–tomography images. By combining …
X Chen, Y Zhou - Advances in Geo-Energy Research, 2017 - yandy-ager.com
Conventional petrophysical characterizations are often based on direct laboratory measurements. Although they provide accurate results, such measurements are time …
One of the most significant problems in the characterization and recovery of Aptian carbonate reservoirs, especially the Brazilian pre-salt, has been the lack of precise …
Petrography and image analysis have been widely used to identify and quantify porous characteristics in carbonate reservoirs. This paper uses the thin section images of 200 …
Abstract Changes of morphological parameters of oil shale under thermal conditions are investigated. Analyses are based on 26 micro-computed tomography (micro-CT) images of …
Abstract Carbon Capture and Storage (CCS) has been recognized as an effective strategy to limit the temperature rise to 1.5° C by 2050 under the Paris Agreement. As a result, more …
Herein, a hierarchical cementitious calcium silicate hydrate (CSH) superstructure with high Young's modulus, super-low porosity, and low mass density is reported. It has a very high …
Mineral precipitations are a common feature and limitation of initially open, permeable rock fractures by forming sealing structures or secondary roughness in open voids. Hence, the …
SR Hussaini, J Dvorkin - Journal of Petroleum Science and Engineering, 2021 - Elsevier
By computing the total porosity φ and specific surface area S for a number of segmented digital volumes of natural sandstones, carbonates, and granular samples, as well as their …