Application of computed tomography (CT) in geologic CO2 utilization and storage research: A critical review

M Gan, L Zhang, X Miao, S Oladyshkin, X Cheng… - Journal of Natural Gas …, 2020 - Elsevier
Computed tomography (CT) is a useful sample characterization and analysis technique to
better understand complicated reactive transport processes in geologic CO 2 utilization and …

Deep learning driven noise reduction for reduced flux computed tomography

KL Alsamadony, EU Yildirim, G Glatz, UB Waheed… - Sensors, 2021 - mdpi.com
Deep neural networks have received considerable attention in clinical imaging, particularly
with respect to the reduction of radiation risk. Lowering the radiation dose by reducing the …

Image-based microscale rock typing and its application

Y Wang - Journal of Petroleum Exploration and Production …, 2024 - Springer
Rock typing plays a crucial role in describing the heterogeneity of the reservoir. Most of the
conventional rock typing methods are implemented to classify the target reservoir into …

Visualization of polymer retention mechanisms in porous media using microfluidics

A Sugar, MF Serag, VA Torrealba, U Buttner… - SPE Europec featured …, 2020 - onepetro.org
Understanding polymer transport through porous media is key to successful field
implementations, including well conformance control and EOR processes. Polymer retention …

Integrating μCT imaging of core plugs and transfer learning for automated reservoir rock characterization and tomofacies identification

R Kadyrov, E Statsenko, TH Nguyen - Marine and Petroleum Geology, 2024 - Elsevier
Traditional methods of core characterization are time-consuming and require the
considerable effort of a large number of experts. At the same time, it is quite difficult to readily …

Application of machine learning to interpret steady state drainage relative permeability experiments

ES Mathew, M Tembely, W AlAmeri… - Abu Dhabi …, 2021 - onepetro.org
A meticulous interpretation of steady-state or unsteady-state relative permeability (Kr)
experimental data is required to determine a complete set of Kr curves. In this work, three …

Artificial Intelligence Coreflooding Simulator for Special Core Data Analysis

ES Mathew, M Tembely, W AlAmeri… - … Reservoir Evaluation & …, 2021 - onepetro.org
Two of the most critical properties for multiphase flow in a reservoir are relative permeability
(K r) and capillary pressure (P c). To determine these parameters, careful interpretation of …

Digital rock physics in low-permeable sandstone, downsampling for unresolved sub-micron porosity estimation

M Ebadi, I Makhotin, D Orlov, D Koroteev - SPE Europec featured at …, 2020 - onepetro.org
The approach to handle the unresolved pores at 3D X-ray Micro Computed Tomography
(μCT) images of core samples is developed. It enables a sufficient widening of digital rock …

Physics driven AI coreflooding simulator for SCAL data analysis

ES Mathew, M Tembely, W AlAmeri… - Abu Dhabi …, 2020 - onepetro.org
Two of the most critical properties for multiphase flow in a reservoir are relative permeability
(Kr) and capillary pressure (Pc). To determine these parameters, a meticulous interpretation …

Investigation of Rock-Fluid Interactions in Carbonate Reservoirs with the Use of Digital Rock Physics

A Shapoval - 2022 - unsworks.unsw.edu.au
This thesis presents a pore-scale investigation into the mechanisms governing the
interactions between water, oil and carbonate rocks using a series of core-flood experiments …