Abstract
This study examines multiscale lithofacies heterogeneity in Upper Triassic fluvial deposits and its implications for CO2 storage. This heterogeneity poses significant challenges, often increasing uncertainty due to limited exploration across scales and weak inter-scale connections. To address this issue, the study employed a range of methods to analyze heterogeneity across multiple scales: macroscale (outcrop scale), mesoscale (core-sample scale), and microscale (thin-section scale) within the Upper Triassic fluvial deposits in central Saudi Arabia. This comprehensive approach provides a nuanced understanding of the complex geological characteristics at each scale. At the macroscale, three assemblages were recognized: pre-Minjur, lower Minjur, and upper Minjur. Five lithofacies associations were identified within these strata, including sandstone (LA1), mudstone (LA2), sandstone interbedded with mudstone (LA3), mudstone interbedded with sandstone (LA4), and conglomerate (LA5). LA1 and LA3 together account for approximately 75% of potential CO2 storage, whereas LA2 and LA4 account for approximately 24.8% of the studied sections. LA1 and LA3 are predominantly observed in the Upper Minjur, whereas LA2 and LA4 are dominant in the pre-Minjur and Lower Minjur assemblages. At the mesoscale, the samples under study fall into three categories: silica, argillaceous (including mudstones), and ferruginous sandstones, also referred to as Triassic red beds. Samples studied at the microscale are grouped into nine clusters, labeled Cluster-1 to Cluster-9. Collectively, the multiscale heterogeneity of the Upper Triassic strata is classified into two categories: low and high heterogeneity. Low heterogeneity comprises mainly the upper Minjur, the silica sandstone, and Clusters 2, 3, 4, 7, and 8. In contrast, high heterogeneity encompasses mainly pre-Minjur and lower Minjur argillaceous and ferruginous sandstones, as well as Clusters 1, 5, 6, and 9. The level of sandstone heterogeneity can significantly affect the efficiency of CO2 storage. Low heterogeneity facilitates even CO2 distribution but may not be optimal for CO₂ trapping. High heterogeneity enables greater CO2 trapping but can adversely affect pore-fluid transport and increase the rate of geochemical reactions. Understanding sandstone heterogeneity for CO2 storage requires integrating multiple multiscale approaches. By integrating findings from multiscale studies, this research emphasizes the importance of a multiscale approach to enhance understanding, reduce uncertainty, and improve predictability in CO2 storage strategies, thereby contributing to sustainable energy and climate change mitigation.
| Original language | English |
|---|---|
| Pages (from-to) | 20369-20407 |
| Number of pages | 39 |
| Journal | Arabian Journal for Science and Engineering |
| Volume | 51 |
| Issue number | 17 |
| DOIs | |
| State | Published - Sep 2026 |
Bibliographical note
Publisher Copyright:© King Fahd University of Petroleum & Minerals 2026.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Characterization
- Fluvial heterogeneity
- Multiscale lithofacies heterogeneity
- Storage
- Upper triassic siliciclastic
ASJC Scopus subject areas
- General
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