InterPore2021

Session

MS10

31 May 2021, 15:10

461. In-Situ Micro-CT Studies to Understand the Role of Salt Precipitation during CO₂ Storage in Saline Aquifers

Mr Puyan Bakhshi (Heriot-Watt University)

31/05/2021, 15:10

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

CO₂ injection into underground geological formations, particularly saline aquifers, causes the removal of water by evaporation into the CO₂-rich phase. This process triggers salt nucleation and precipitation inside the pores, and therefore, alters the petrophysical properties of the formation rock.
In the context of CO₂ storage, several experimental studies have been conducted at pore and...

426. A framework to map pore volume change and mineral dissolution/precipitation of wellbore cement exposed to high concentration CO2 using micro-CT images

Prof. Liwei Zhang (Institute of Rock and Soil Mechanics, Chinese Academy of Sciences)

31/05/2021, 15:25

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

In this study, an image processing framework was proposed for mapping Ca(OH)2 dissolution, CaCO3 precipitation, and pore volume change of wellbore cement samples exposed to high concentration CO2 under laboratory-simulated geologic CO2 storage conditions. The main workflow covered in this framework is to, 1) remove noises, artifacts, beam hardening effects, etc. from micro-CT images of cement...

655. A Novel Technique of Image Analysis on Foam in Fractures

Prof. William Rossen (Delft University of Technology)

31/05/2021, 15:40

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

In enhanced oil recovery, gas injection often suffers from poor sweep efficiency due to conformance problems, such as gravity override, viscous fingering and channelling. Foam, composed of gas bubbles separated by continuous liquid films (lamellae), can effectively mitigate these problems. During foam flooding, the mobility of gas is reduced by a factor of hundreds or even more (Tang and...

646. Magnetic Resonance and Magnetic Resonance Imaging of Porous Media – Recent Developments

Dr Armin Afrough (University of New Brunswick; Center for Oil and Gas - DTU, Technical University of Denmark)

31/05/2021, 15:55

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

Magnetic resonance presents an array of unparalleled opportunities in probing fluids in porous media. Magnetic resonance methods are nowadays routinely employed in well-logging, monitoring underground water resources, laboratory analysis, and industrial process and quality control. Despite these widespread applications, there are significant problems associated with the inability of...

561. Spontaneous imbibition dynamics in yarns and knit stitches by fast X-ray tomography and free energy analysis

Robert Fischer (ETHZ, Empa)

31/05/2021, 16:10

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

Moisture management in textiles is not only of importance for functional clothing, but also for medical fabrics. Understanding or even predicting the dynamics of spontaneous imbibition in textiles is challenging due to the heterogeneity of textile structures and thus the complexity of the fiber/water/air interfaces. The physics on the pore scale determine the macroscopic water transport....

511. Use of topological principles to determine wettability from pore-scale images

Luke Kearney (University of Oxford)

31/05/2021, 16:25

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

There are numerous challenges associated with measuring the wettability of a porous material. Surface roughness and chemical heterogeneity obscure representative characterisations via contact angle hysteresis. Micron-resolution X-ray CT imaging has enabled direct geometric measurements of contact angle inside core samples but due to uncertainty and error at the contact line, this method tends...

217. How to capture centimeter-scale local variations in the pore space of paper: A benchmark study using µ-CT

Prof. Karin Zojer (Christian Doppler Laboratory for mass transport through paper and Institute of Solid State Physics, Graz University of Technology, Graz, Austria)

03/06/2021, 18:00

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

Though X-ray microcomputed tomography (μ-CT) is an established and versatile tool to determine the 3D microstructure of porous materials, it is still a major challenge to capture the degree of disorder and to determine the extent of heterogeneity in membrane-like materials [1,2]. Membranes, such as paper sheets, possess enormous aspect ratios. The formation of paper sheets yields a complex...

575. Non-destructive 3D mapping of mineral composition and clay mineral orientation in shale

Mr Fredrik K. Mürer (PoreLab, Department of Physics, Norwegian University of Science and Technology, Norway)

03/06/2021, 18:15

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

Shales are sedimentary rocks with a complex mineralogy, where the mechanical properties are predominantly determined by the orientation of clay minerals[1]. Shales are increasingly studied, due to their use as cap rocks in carbon capture and storage (CCS) technologies. Attenuation-contrast computed tomography (CT) allows three-dimensional (3D) imaging of the microscale morphology, also...

518. Automatic cracks detection in 3D μCT images using DVC total variation strain regularization

Zaira Manigrasso (Ghent University, Imec)

03/06/2021, 18:30

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

This work aims to automatically detect the location of cracks formation during uniaxial compaction experiment of grain assemblies using a robust and novel Digital Volume Correlation (DVC) approach. Experiments, such as absorption or compression, can lead to abrupt structural modifications of the material (e.g., swelling, tears or cracks), that demand robust algorithms to be detected and...

486. 4D µCT reconstruction with improved time resolution for imaging fluid flow in porous media

Mr Wannes Goethals (Ghent University - UGCT)

03/06/2021, 18:45

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

Computed micro-tomography (µCT) is a valuable tool to study transport phenomena in the 3D pore network of geomaterials. Recent advances, mainly at synchrotron beam lines but also using lab scanners, have made it possible to perform time-resolved µCT, imaging changes in the sample over time, with time resolutions on the order of seconds. In such cases, a 4D reconstruction is computed from a...

210. MATBOX, an Open-Source Microstructure Analysis Toolbox for Meshing, Generation, Segmentation, and Characterization of 3D Heterogenous Volumes

Dr Francois Usseglio-Viretta (National Renewable Energy Laboratory )

03/06/2021, 19:00

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

Battery performance is strongly correlated with electrode microstructural properties. To account for its impact, lithium-ion battery (LIB) models either abstract the microstructural heterogeneity of composite electrodes using effective macroscopic properties (macro- or meso- scale models) or directly solve the system of equations on the microstructure geometry or mesh (microstructure-scale...

86. Improved Watershed-based Pore Space Partitioning Algorithm for Pore Network Modelling

Dr Zeyun Jiang

03/06/2021, 19:15

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

In recent years, watershed-based methods mimicking basin flooding have been adopted for the partitioning the pore space in 2D and 3D images into pores regions as a basis for pore network modelling. However, due to the noisy nature of tomographic images and the neglection of both the convergent and divergent features in different locations in the pore space, watershed-based partitioning...

33. Benchmarking Conventional and Machine Learning Segmentation Techniques for Analysis of Digital Rock Physics Properties

Marcel Reinhardt

03/06/2021, 19:30

(MS10) Advances in imaging porous media: techniques, software and case studies

Oral Presentation

Image segmentation remains the most critical step in Digital Rock Physics (DRP) workflows, affecting modelling results and the analysis of physical rock properties. Conventional segmentation techniques struggle with numerous image artefacts and user bias, which lead to considerable uncertainty. This study evaluates the advantages of the machine learning algorithm of the Ilastik code to DRP...