Related Experiment Video
Updated: May 21, 2025
10:36
Stress Distribution During Cold Compression of Rocks and Mineral Aggregates Using Synchrotron-based X-Ray Diffraction
Published on: May 20, 2018
9.6K
A novel numerical simulation framework for predicting pore space evolution and rock properties through sedimentation,
Bowen Ling1,2, Xingming Du1, Shuheng Du1
1Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China.
Scientific Reports
|May 17, 2025
Summary
This study introduces a numerical simulation framework to predict rock pore space evolution during diagenesis. The model integrates mineral grain generation, deposition, compaction, and geochemical reactions, offering insights into porosity and permeability changes.
Area of Science:
- Geology
- Geochemistry
- Computational Science
Background:
- Pore space evolution significantly impacts rock physical properties, driven by diagenetic processes.
- Current research lacks predictive models for how sedimentary heterogeneity affects diagenesis and pore space evolution.
Purpose of the Study:
- To develop and demonstrate a numerical simulation framework for predicting pore-space evolution.
- To integrate mineral grain generation, deposition, compaction, fluid flow, solute transport, dissolution, and cementation.
Main Methods:
- Utilized Quartet Structure Generation Set (QSGS) for 3D mineral grain generation.
- Employed Discrete Element Method (DEM) for deposition and compaction.
- Applied Finite Volume Method (FVM) for fluid flow, geochemical reactions, and physical property computation.
Main Results:
- Simulation results for porosity-depth trends and cementation align with analytical models.
- Demonstrated framework capabilities through case studies of quartz and multi-mineral systems.
- Validated the dynamic prediction of pore-space evolution, porosity, and permeability.
Conclusions:
- The developed numerical framework is robust for dynamic prediction of rock physical properties.
- This approach offers significant potential for understanding diagenetic impacts on reservoir quality.
- Highlights the importance of integrated modeling for sedimentary basin analysis.
Related Concept Videos
01:23Pore Size Distribution
79
In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio.
Adequate...
Adequate...
79
01:30Typical Model Studies
200
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
200
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
35
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
35
01:12Modeling and Similitude
160
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
160
01:26Unsoundness of Aggregate due to Volume Change
91
Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...
91