Abstract
As global efforts to mitigate climate change intensify, CO2 storage in shale oil reservoirs presents a promising avenue for reducing greenhouse gas emissions while enhancing oil recovery. However, accurate assessment of storage potential remains challenging, particularly in China’s diverse shale oil basins. This study introduces the Storage Index-Well Layout (SI-WL) method, a novel approach for evaluating CO2 storage potential in shale oil reservoirs, and applies it to 12 major basins in China. Comparing this method with traditional and improved US-DOE methods demonstrates its superior reliability in estimating storage capacity under current technological conditions. Our analysis reveals a cumulative CO2 storage potential of 5.69 × 108 t of liquid CO2 across the studied basins, with the Bohai Bay Basin showing the highest capacity at 1.87 × 108 t. Scenario analysis from 2025 to 2060 identifies key factors influencing storage potential, including the proportion of wells using CO2 fracturing and fracturing fluid performance. While current practices in China’s shale oil CO2 fracturing achieve effective results, improving liquid CO2’s viscosity and sand-carrying performance remains a significant challenge. This research provides valuable insights for shale oil CO2 fracturing development and CO2 emission reduction strategies, suggesting that technological advancements could significantly enhance CO2 storage in the shale oil industry.
| Original language | English |
|---|---|
| Article number | 205702 |
| Number of pages | 31 |
| Journal | Gas Science and Engineering |
| Volume | 142 |
| Early online date | 18 Jun 2025 |
| DOIs | |
| Publication status | Published - Oct 2025 |
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 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
User-Defined Keywords
- CCUS
- CO2 fracturing
- Carbon storage potential
- Shale reservoir characterization
- Storage index-well layout (SI-WL) approach
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