Experimental quantification of the effect of oil based drilling fluid contamination on properties of wellbore cement

A Katende, Y Lu, A Bunger, M Radonjic - Journal of Natural Gas Science …, 2020‏ - Elsevier
Portland cement hydration is a chemically sensitive process impacted by temperature,
amount of water and the presence of any potential contaminants. Drilling fluids …

Simulating reservoir capillary pressure curves using image processing and classification machine learning algorithms applied to petrographic thin sections

B Esmaeili, S Hosseinzadeh, A Kadkhodaie… - Journal of African Earth …, 2024‏ - Elsevier
Reservoir rock porosity and capillary pressure data are fundamental parameters to
understand the physical properties of rocks. Porosity, which shows the rock's void fraction to …

Lift the veil of secrecy in sub-resolved pores by Xe-enhanced computed tomography

M Ebadi, D Orlov, V Alekseev, A Burukhin, V Krutko… - Fuel, 2022‏ - Elsevier
The efficient development of tight hydrocarbon resources based on the proper
understanding of rock properties can be underlined as a game-changing scenario of the …

Fast prediction of reservoir permeability based on embedded feature selection and LightGBM using direct logging data

K Zhou, Y Hu, H Pan, L Kong, J Liu… - Measurement …, 2020‏ - iopscience.iop.org
Permeability estimation plays an important role in reservoir evaluation and hydrocarbon
development, etc. Traditional physical model-based methods have problems with being time …

Pore scale image analysis for petrophysical modelling

AK Pal, S Garia, K Ravi, AM Nair - Micron, 2022‏ - Elsevier
Sedimentary rocks are known for their complex pore system with varying morphology due to
intricate diagenetic processes. The present study demonstrates the applicability of image …

[HTML][HTML] The lattice boltzmann method and image processing techniques for effective parameter estimation of digital rock

A Nurcahya, A Alexandra, F Akmal, IA Dharmawan - Applied Sciences, 2024‏ - mdpi.com
Several numerical simulations of fluid flow were performed using the Lattice Boltzmann
method and image processing techniques to estimate the effective properties of 2-D porous …

Estimating reservoir properties of 2D CT scan core images using Machine Learning

V Srivardhan, B Mukherjee - Journal of Earth System Science, 2024‏ - Springer
Core samples analysed through CT scans provide crucial reservoir information for reservoir
development, encompassing porosity, permeability, pore size, grain distribution, grain …

Predicting the permeability of consolidated silty clay via digital soil reconstruction

Y Liu, SJ Chen, K Sagoe-Crentsil, W Duan - Computers and Geotechnics, 2021‏ - Elsevier
Numerical modelling of the pore structure of porous media is still one of the most powerful
tools for predicting the soil's permeability and transport properties for geoengineers …

[PDF][PDF] Porosity estimation by digital image analysis

A Pal, S Garia, K Ravi, AM Nair - ONGC Bulletin, 2018‏ - researchgate.net
Porosity and permeability are the two vital rock properties that influence the decision making
in the planning and execution phases of petroleum exploration and development. With the …

Investigation on 3D fractal dimension as complexity parameter of interconnected pore in 3D porous media

UZ Fawziah, AK Rochmatulloh, S Feranie… - Journal of Physics …, 2019‏ - iopscience.iop.org
Abstract 3D Fractal dimension as a complexity parameter of interconnected pore in 3D
porous media is investigated. Four sets of 3D digital porous media with the size of 150× …