Mechanical property weakening mechanisms and ensemble assessment during coalbed carbon sequestration

IF 7.5 1区 工程技术 Q2 ENERGY & FUELS Fuel Pub Date : 2025-03-26 DOI:10.1016/j.fuel.2025.135197
Peitao Shi , Jixiong Zhang , Baiyi Li , Hao Yan , Yuyang Xia
{"title":"Mechanical property weakening mechanisms and ensemble assessment during coalbed carbon sequestration","authors":"Peitao Shi ,&nbsp;Jixiong Zhang ,&nbsp;Baiyi Li ,&nbsp;Hao Yan ,&nbsp;Yuyang Xia","doi":"10.1016/j.fuel.2025.135197","DOIUrl":null,"url":null,"abstract":"<div><div>Carbon sequestration in deep, unexploitable coal seams is an effective method for carbon emission reduction. However, the impact of CO<sub>2</sub> on coal’s mechanical properties is critical for the stability of coal bed carbon sequestration. This study examines the effects of moisture content, saturation medium, saturation pressure, and saturation time on the mechanical properties of coal through saturation experiments. The mechanisms by which the coal matrix is weakened by CO<sub>2</sub> and water are revealed. Furthermore, to assess the impact of high-dimensional factors on mechanical properties, an ensemble perturbation model (EP-SVR) is developed to evaluate the mechanical properties of coal after carbon sequestration. The study also investigates the impact of iterations and perturbation level on the performance of EP-SVR. The model systematically evaluated the effects of eight factors, including coal rank, sample size, moisture content, saturation medium, saturation time, saturation pressure, saturation temperature, and test loading rate, on the mechanical performance. The results indicate that CO<sub>2</sub> saturation in multiple phases weakens the mechanical properties of coal. The weakening mechanisms include the expansion of the coal matrix, erosion of organic and mineral components, an increase in porosity, and the formation of micro-cracks. This model can adaptively assess the changes in the mechanical properties of CO<sub>2</sub>-saturated coal at different stages. Compared with other models, the EP-SVR has the advantage of higher tolerance to adversarial data by dynamically training a new adaptive decision function through an iterative process, thus enhancing the model’s robustness to diverse data. This study provides insights into the safety prediction of coal carbon sequestration.</div></div>","PeriodicalId":325,"journal":{"name":"Fuel","volume":"395 ","pages":"Article 135197"},"PeriodicalIF":7.5000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuel","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016236125009226","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Carbon sequestration in deep, unexploitable coal seams is an effective method for carbon emission reduction. However, the impact of CO2 on coal’s mechanical properties is critical for the stability of coal bed carbon sequestration. This study examines the effects of moisture content, saturation medium, saturation pressure, and saturation time on the mechanical properties of coal through saturation experiments. The mechanisms by which the coal matrix is weakened by CO2 and water are revealed. Furthermore, to assess the impact of high-dimensional factors on mechanical properties, an ensemble perturbation model (EP-SVR) is developed to evaluate the mechanical properties of coal after carbon sequestration. The study also investigates the impact of iterations and perturbation level on the performance of EP-SVR. The model systematically evaluated the effects of eight factors, including coal rank, sample size, moisture content, saturation medium, saturation time, saturation pressure, saturation temperature, and test loading rate, on the mechanical performance. The results indicate that CO2 saturation in multiple phases weakens the mechanical properties of coal. The weakening mechanisms include the expansion of the coal matrix, erosion of organic and mineral components, an increase in porosity, and the formation of micro-cracks. This model can adaptively assess the changes in the mechanical properties of CO2-saturated coal at different stages. Compared with other models, the EP-SVR has the advantage of higher tolerance to adversarial data by dynamically training a new adaptive decision function through an iterative process, thus enhancing the model’s robustness to diverse data. This study provides insights into the safety prediction of coal carbon sequestration.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
煤层固碳力学性能弱化机制及整体评价
深部未开发煤层固碳是一种有效的碳减排方法。然而,CO2对煤力学性能的影响对煤层固碳的稳定性至关重要。本研究通过饱和实验考察了含水率、饱和介质、饱和压力和饱和时间对煤力学性能的影响。揭示了煤基体被CO2和水削弱的机理。此外,为了评估高维因素对力学性能的影响,建立了一个综摄动模型(EP-SVR)来评估碳固碳后煤的力学性能。研究了迭代和扰动水平对EP-SVR性能的影响。该模型系统评价了煤级、样本量、含水率、饱和介质、饱和时间、饱和压力、饱和温度、试验加载速率等8个因素对煤体力学性能的影响。结果表明,多相CO2的饱和会削弱煤的力学性能。煤基质的膨胀、有机和矿物组分的侵蚀、孔隙度的增加以及微裂纹的形成是煤的弱化机制。该模型能够自适应地评价饱和co2煤在不同阶段的力学性能变化。与其他模型相比,EP-SVR通过迭代过程动态训练新的自适应决策函数,从而增强了模型对不同数据的鲁棒性,对对抗数据具有更高的容忍度。本研究为煤固碳的安全性预测提供了新的思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Fuel
Fuel 工程技术-工程:化工
CiteScore
12.80
自引率
20.30%
发文量
3506
审稿时长
64 days
期刊介绍: The exploration of energy sources remains a critical matter of study. For the past nine decades, fuel has consistently held the forefront in primary research efforts within the field of energy science. This area of investigation encompasses a wide range of subjects, with a particular emphasis on emerging concerns like environmental factors and pollution.
期刊最新文献
A comprehensive review on Lewis acid functionalized electrocatalysts for water splitting Lignin particles morphology: A neglected factor in cellulase hydrolysis Single-walled carbon Nanotube-Encapsulated polyoxometalates for Wide-Range humidity PEM fuel cells Catalytic tar cracking over calcium oxide-based bifunctional materials during biomass chemical looping gasification: Experimental and DFT approaches Anchoring MoOx nanodots in N-doped porous carbon via a biomimetic strategy: enhanced supercapacitor performance
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1