Open Access
Open access
volume 22 issue 1 pages 193-209

Characterization of petrophysical and seismic properties for CO2 storage with sensitivity analysis

Yan-Jiao Dong 1, 2
Yi Shen 1
Kai Guo 2, 3
Xiao-Qin Wu 1
Qiang Mao 1
Wenyue Sun 4
Zhi-Qiang Wang 4
Zhiqiang Wang 4
Publication typeJournal Article
Publication date2025-01-01
scimago Q1
wos Q1
SJR1.219
CiteScore9.4
Impact factor6.1
ISSN16725107, 19958226
Abstract
Saline aquifers are considered as highly favored reservoirs for CO2 sequestration due to their favorable properties. Understanding the impact of saline aquifer properties on the migration and distribution of CO2 plume is crucial. This study focuses on four key parameters—permeability, porosity, formation pressure, and temperature—to characterize the reservoir and analyse the petrophysical and elastic response of CO2. First, we performed reservoir simulations to simulate CO2 saturation, using multiple sets of these four parameters to examine their significance on CO2 saturation and the plume migration speed. Subsequently, the effect of these parameters on the elastic properties is tested using rock physics theory. We established a relationship of compressional wave velocity (Vp) and quality factor (Qp) with the four key parameters, and conducted a sensitivity analysis to test their sensitivity to Vp and Qp. Finally, we utilized visco-acoustic wave equation simulated time-lapse seismic data based on the computed Vp and Qp models, and analysed the impact of CO2 saturation changes on seismic data. As for the above numerical simulations and analysis, we conducted sensitivity analysis using both homogeneous and heterogeneous models. Consistent results are found between homogeneous and heterogeneous models. The permeability is the most sensitive parameter to the CO2 saturation, while porosity emerges as the primary factor affecting both Qp and Vp. Both Qp and Vp increase with the porosity, which contradicts the observations in gas reservoirs. The seismic simulations highlight significant variations in the seismic response to different parameters. We provided analysis for these observations, which serves as a valuable reference for comprehensive CO2 integrity analysis, time-lapse monitoring, injection planning and site selection.
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GOST |
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GOST Copy
Dong Y. et al. Characterization of petrophysical and seismic properties for CO2 storage with sensitivity analysis // Petroleum Science. 2025. Vol. 22. No. 1. pp. 193-209.
GOST all authors (up to 50) Copy
Dong Y., Shen Y., Guo K., Wu X., Mao Q., Sun W., Wang Z., Wang Z. Characterization of petrophysical and seismic properties for CO2 storage with sensitivity analysis // Petroleum Science. 2025. Vol. 22. No. 1. pp. 193-209.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1016/j.petsci.2024.07.011
UR - https://linkinghub.elsevier.com/retrieve/pii/S199582262400195X
TI - Characterization of petrophysical and seismic properties for CO2 storage with sensitivity analysis
T2 - Petroleum Science
AU - Dong, Yan-Jiao
AU - Shen, Yi
AU - Guo, Kai
AU - Wu, Xiao-Qin
AU - Mao, Qiang
AU - Sun, Wenyue
AU - Wang, Zhi-Qiang
AU - Wang, Zhiqiang
PY - 2025
DA - 2025/01/01
PB - Elsevier
SP - 193-209
IS - 1
VL - 22
SN - 1672-5107
SN - 1995-8226
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Dong,
author = {Yan-Jiao Dong and Yi Shen and Kai Guo and Xiao-Qin Wu and Qiang Mao and Wenyue Sun and Zhi-Qiang Wang and Zhiqiang Wang},
title = {Characterization of petrophysical and seismic properties for CO2 storage with sensitivity analysis},
journal = {Petroleum Science},
year = {2025},
volume = {22},
publisher = {Elsevier},
month = {jan},
url = {https://linkinghub.elsevier.com/retrieve/pii/S199582262400195X},
number = {1},
pages = {193--209},
doi = {10.1016/j.petsci.2024.07.011}
}
MLA
Cite this
MLA Copy
Dong, Yan-Jiao, et al. “Characterization of petrophysical and seismic properties for CO2 storage with sensitivity analysis.” Petroleum Science, vol. 22, no. 1, Jan. 2025, pp. 193-209. https://linkinghub.elsevier.com/retrieve/pii/S199582262400195X.