Bioreceptivity of building stones: A review

AZ Miller, P Sanmartín, L Pereira-Pardo… - Science of the total …, 2012 - Elsevier
In 1995, Guillitte defined bioreceptivity, a new term in ecology, as the ability of a material to
be colonized by living organisms. Information about the bioreceptivity of stone is of great …

Oil spill cleanup by structured fibre assembly

CP Karan, RS Rengasamy, D Das - 2011 - nopr.niscpr.res.in
Oil is one of the important sources of energy in the modern industrial world. It has to be
transported from the source of production to many places across the globe through oceans …

Investigation on the pore structure and multifractal characteristics of tight oil reservoirs using NMR measurements: Permian Lucaogou Formation in Jimusaer Sag …

P Zhao, Z Wang, Z Sun, J Cai, L Wang - Marine and Petroleum Geology, 2017 - Elsevier
Pore structure is a critical parameter to estimate the reservoir quality and evaluate the
resource potential. However, the pore structure and heterogeneity of the unconventional …

Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data

R Rezaee, A Saeedi, B Clennell - Journal of Petroleum Science and …, 2012 - Elsevier
There are several methods to estimate permeability from pore throat sizes and NMR T2
relaxation time. Although most of the methods are well-established and work well for …

Petrophysical characterization of tight oil reservoirs using pressure-controlled porosimetry combined with rate-controlled porosimetry

H Zhao, Z Ning, Q Wang, R Zhang, T Zhao, T Niu… - Fuel, 2015 - Elsevier
Tight oil reservoirs typically show a wide pore size distribution with pore sizes ranging from
several nanometers to several hundred microns, requiring a combination of several …

Estimating permeability using median pore-throat radius obtained from mercury intrusion porosimetry

Z Gao, Q Hu - Journal of Geophysics and Engineering, 2013 - academic.oup.com
Mercury intrusion porosimetry (MIP) has been widely used to characterize the pore structure
for various types of porous media. Several relationships between permeability and pore …

DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials

A Rabbani, M Babaei, R Shams, Y Da Wang… - Advances in Water …, 2020 - Elsevier
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 …

Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling

MZ Kamali, S Davoodi, H Ghorbani, DA Wood… - Marine and Petroleum …, 2022 - Elsevier
Carbonate petroleum reservoirs typically have lower permeabilities and recovery factors
than sandstone reservoirs, so the natural fractures they often incorporate have positive …

Pore structure characteristics of tight sandstones in the northern Songliao Basin, China

L Zhang, S Lu, D ** fracture networks and estimating their properties such as porosity and permeability
to be used as input data in simulation studies are two critical steps in modeling of naturally …