A novel numerical simulation framework for predicting pore space evolution and rock properties through sedimentation, compaction and diagenesis

The evolution of pore space plays a crucial role in evaluating the physical properties of rocks, primarily influenced by processes such as sedimentation, compaction, dissolution, cementation, and other diagenetic phenomena. Current research in related field primarily relies on sample analysis and qualitative investigations, with a scarcity of predictive models to explore how sedimentary heterogeneity influences diagenesis and pore space evolution. This study introduces a numerical simulation framework that integrates the generation, deposition, compression, flow, solute transport, dissolution, and cementation of mineral grains. Specifically, the Quartet Structure Generation Set (QSGS) is employed to produce three-dimensional mineral grains, while the Discrete Element Method (DEM) simulates deposition and compaction, and the Finite Volume Method (FVM) is used for fluid flow, geochemical reactions, and the computation of rock physical properties. The capability of this framework is demonstrated through two case studies: the sedimentation and cementation of quartz, and the deposition, compaction, dissolution, and cementation of multiple minerals. The simulation results for porosity-depth trends and cementation processes closely align with established analytical models. This newly developed numerical framework demonstrates robustness and significant potential for dynamic prediction of pore-space evolution, porosity, permeability, and other rock physical properties during sedimentation, compaction, and diagenesis.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-17
DOI
https://doi.org/10.1038/s41598-025-02343-x
Citations
2
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
1.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel numerical simulation framework for predicting pore space evolution and rock properties through sedimentation, compaction and diagenesis

Bowen Ling, Fengchang Yang, Xiuli Du, Shuheng Du
2 citations
Scientific Reports
Hydrocarbon exploration and reservoir analysis
1.73
article

A novel numerical simulation framework for predicting pore space evolution and rock properties through sedimentation, compaction and diagenesis

Bowen Ling, Fengchang Yang, Xiuli Du, Shuheng Du
article en
2 citations

Abstract

The evolution of pore space plays a crucial role in evaluating the physical properties of rocks, primarily influenced by processes such as sedimentation, compaction, dissolution, cementation, and other diagenetic phenomena. Current research in related field primarily relies on sample analysis and qualitative investigations, with a scarcity of predictive models to explore how sedimentary heterogeneity influences diagenesis and pore space evolution. This study introduces a numerical simulation framework that integrates the generation, deposition, compression, flow, solute transport, dissolution, and cementation of mineral grains. Specifically, the Quartet Structure Generation Set (QSGS) is employed to produce three-dimensional mineral grains, while the Discrete Element Method (DEM) simulates deposition and compaction, and the Finite Volume Method (FVM) is used for fluid flow, geochemical reactions, and the computation of rock physical properties. The capability of this framework is demonstrated through two case studies: the sedimentation and cementation of quartz, and the deposition, compaction, dissolution, and cementation of multiple minerals. The simulation results for porosity-depth trends and cementation processes closely align with established analytical models. This newly developed numerical framework demonstrates robustness and significant potential for dynamic prediction of pore-space evolution, porosity, permeability, and other rock physical properties during sedimentation, compaction, and diagenesis.

Scientific ReportsVol. 15(1)
Chinese Academy of Sciences (CN), Institute of Mechanics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Openalex Percentile: Top 18%
Hydrocarbon exploration and reservoir analysis
1.73
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.