Permeability Changes of Rocks and Their Replicas under Cyclic Loading

Summary Understanding the patterns of permeability changes under cyclic pressure is crucial for determining the most effective strategy for utilizing CO2 in underground reservoirs. While studying real rocks in cyclic experiments allows for consideration of actual geological conditions, it may not fully reveal the true deformation mechanisms. In order to gain a better understanding of the laws governing permeability changes under cyclic pressure, it is essential to conduct studies that enable precise control over experimental conditions and the characteristics of the media being studied. Traditionally, filtration have been studied using sand or glass bead models, as well as rock samples. While bulk models offer the advantage of controlling grain sizes, they are limited in their usefulness under cyclic loading due to grain destruction. Experiments conducted with real rocks may be subject to distortion from external factors such as changes in physicochemical state during reactive flow, pore blocking from colloid migration, and plastic deformations. As a result, accurately describing patterns of permeability changes under cyclic loading of rocks poses challenges. To mitigate the influence of these factors on the reliability of experimental studies, this paper suggests the use of 3D printed rock replicas and conducts a comparative assessment of this approach.

Authors

Institutions

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.202573030
Primary Topic
Geotechnical and Geomechanical Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Permeability Changes of Rocks and Their Replicas under Cyclic Loading

М. А. Гузев, Chongchong Qi, Z. Ivanov, Mikhail Sergeevich Turbakov et al.
4 links
Geotechnical and Geomechanical Engineering
article

Permeability Changes of Rocks and Their Replicas under Cyclic Loading

М. А. Гузев, Chongchong Qi, Z. Ivanov, Mikhail Sergeevich Turbakov, Evgenii Vasilevich Kozhevnikov, Evgenii Pavlovich Riabokon
article en

Abstract

Summary Understanding the patterns of permeability changes under cyclic pressure is crucial for determining the most effective strategy for utilizing CO2 in underground reservoirs. While studying real rocks in cyclic experiments allows for consideration of actual geological conditions, it may not fully reveal the true deformation mechanisms. In order to gain a better understanding of the laws governing permeability changes under cyclic pressure, it is essential to conduct studies that enable precise control over experimental conditions and the characteristics of the media being studied. Traditionally, filtration have been studied using sand or glass bead models, as well as rock samples. While bulk models offer the advantage of controlling grain sizes, they are limited in their usefulness under cyclic loading due to grain destruction. Experiments conducted with real rocks may be subject to distortion from external factors such as changes in physicochemical state during reactive flow, pore blocking from colloid migration, and plastic deformations. As a result, accurately describing patterns of permeability changes under cyclic loading of rocks poses challenges. To mitigate the influence of these factors on the reliability of experimental studies, this paper suggests the use of 3D printed rock replicas and conducts a comparative assessment of this approach.

Beijing University of Civil Engineering and Architecture (CN)
Openalex Percentile: Top 81%
Geotechnical and Geomechanical Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.