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 …
better understand complicated reactive transport processes in geologic CO 2 utilization and …
Deep learning driven noise reduction for reduced flux computed tomography
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
(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
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 …
(μCT) images of core samples is developed. It enables a sufficient widening of digital rock …
Physics driven AI coreflooding simulator for SCAL data analysis
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 …
(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 …
interactions between water, oil and carbonate rocks using a series of core-flood experiments …