A Stability Assessment of Fault-Caprock Trapping Systems for CO2 Storage in Saline Aquifer Layers Using a Coupled THMC Model

Deep saline aquifers provide significant potential for CO2 storage and are crucial in carbon capture, utilization, and storage (CCUS). However, ensuring the long-term safe storage of CO2 remains challenging due to the complexity of coupled thermal, hydrological, mechanical, and chemical (THMC) processes. This study is one of a few to incorporate fault-controlled reservoir structures in the Enping 15-1 oilfield to simulate the performance of CO2 geological storage. A systematic analysis of factors influencing CO2 storage safety, such as the trap area, aquifer layer thickness, caprock thickness, reservoir permeability, and reservoir porosity, was conducted. We identified the parameters with the most significant impact on storage performance and provided suitable values to enhance storage safety. The results show that a large trap area and aquifer thickness are critical for site selection. Low permeability and large caprock thickness prevent CO2 from escaping, which is important for long-term and stable storage. These findings contribute to developing site-specific guidelines for CO2 storage in faulted reservoirs.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-02-13
DOI
https://doi.org/10.3390/en18040900
Citations
5
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
4.00

Funders

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

A Stability Assessment of Fault-Caprock Trapping Systems for CO2 Storage in Saline Aquifer Layers Using a Coupled THMC Model

Shenghao Wang, Quan Gan, Xisheng Li, Tao Wang et al.
5 citations
Energies
CO2 Sequestration and Geologic Interactions
4.00
article

A Stability Assessment of Fault-Caprock Trapping Systems for CO2 Storage in Saline Aquifer Layers Using a Coupled THMC Model

Shenghao Wang, Quan Gan, Xisheng Li, Tao Wang, Mingying Xie, Chao Xu, Xiaona Sun, Yueqiang Ma, Shasha Feng
article en
5 citations

Abstract

Deep saline aquifers provide significant potential for CO2 storage and are crucial in carbon capture, utilization, and storage (CCUS). However, ensuring the long-term safe storage of CO2 remains challenging due to the complexity of coupled thermal, hydrological, mechanical, and chemical (THMC) processes. This study is one of a few to incorporate fault-controlled reservoir structures in the Enping 15-1 oilfield to simulate the performance of CO2 geological storage. A systematic analysis of factors influencing CO2 storage safety, such as the trap area, aquifer layer thickness, caprock thickness, reservoir permeability, and reservoir porosity, was conducted. We identified the parameters with the most significant impact on storage performance and provided suitable values to enhance storage safety. The results show that a large trap area and aquifer thickness are critical for site selection. Low permeability and large caprock thickness prevent CO2 from escaping, which is important for long-term and stable storage. These findings contribute to developing site-specific guidelines for CO2 storage in faulted reservoirs.

EnergiesVol. 18(4)
China National Offshore Oil Corporation (China) (CN), Chongqing University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 8%
CO2 Sequestration and Geologic Interactions
4.00
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.

A Stability Assessment of Fault-Caprock Trapping Systems for CO2 Storage in Saline Aquifer Layers Using a Coupled THMC Model — Shenghao Wang, Quan Gan, et al. · Energies (2025) | TGRS Research Map | TGRS