• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

四川盆地南部筠连区块乐平组页岩孔隙结构与分形特征研究

Study of the Pore Structure and Fractal Characteristics of the Leping Formation Shale in the Junlian Block, Southern Sichuan Basin.

作者信息

Liang Shuo, Tang Tong, Wang Tao, Deng Ze, Zhu Gengen, Wang Daxing

机构信息

School of Resources and Environment, Yangtze University, Wuhan 430100, P. R. China.

Jiqing Oilfield Operation District, Xinjiang Oilfield Company, PetroChina, Jimsar, Xinjiang 831700, P. R. China.

出版信息

ACS Omega. 2024 Dec 16;9(52):51363-51378. doi: 10.1021/acsomega.4c08141. eCollection 2024 Dec 31.

DOI:10.1021/acsomega.4c08141
PMID:39758626
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11696750/
Abstract

The pore structure of shale is a key factor affecting the occurrence and flow of shale gas, and fractal dimensions can be used to quantitatively describe the complexity of the shale pore structure. In this study, the Leping Formation shale in the Junlian block of the southern Sichuan Basin was investigated. The pore structure characteristics of this shale were examined via low-pressure CO adsorption (LP-COA) and low-temperature N adsorption (LT-NA) methods via field emission scanning electron microscopy (FE-SEM), shale geochemistry, and mineral composition analysis. Pore fractal dimensions were calculated via the Frenkel-Halsey-Hill (FHH) model, and the relationships among the fractal dimensions, shale composition (total organic carbon (TOC), quartz, and clay mineral contents), and pore structure were discussed. The results revealed that the TOC contents of the Leping Formation shale in the study area were high and ranged from 0.9% to 4.48%, with an average of 2.25%. The quartz contents were 17.2% to 60.1%, and the clay mineral contents were 33.8% to 67.2%. On the basis of the FE-SEM and N adsorption-desorption curve analyses, the pore types of the Leping Formation shale were complex and significantly variable in terms of the scale and development of organic pores, intragranular pores, and microfractures. The pore morphologies were mostly narrow slit-type flat pores and four-sided open or cone-type flat pores. The pore size distribution exhibited a multimodal pattern. The pore type was mainly mesopores, followed by micropores and minimal macropores. The specific surface area (SSA) of micropores accounted for more than 78% of the total SSA. The fractal dimension of the shale ranged from 2.262 to 2.618 (with a mean of 2.519), and the fractal dimension ranged from 2.662 to 2.843 (with a mean of 2.739). was greater than , indicating that the internal structure of the pores was significantly more complex than that of the surface. The TOC and clay mineral contents were positively correlated with the Brunauer-Emmett-Teller (BET) SSA and the Barret-Joyner-Halenda (BJH) PV, whereas the quartz content was negatively correlated with the BET SSA and BJH PV. The considered fractal dimensions were positively correlated with the TOC content, clay mineral content, BET SSA, and BJH PV but negatively correlated with the quartz content and average pore diameter. The complexity and heterogeneity of the pore structure of the studied shale were quantitatively evaluated through fractal dimension analysis; thus, this approach can be applied in studies of the characteristics of the shale pore structure distribution and reservoir evaluation.

摘要

页岩的孔隙结构是影响页岩气赋存与渗流的关键因素,分形维数可用于定量描述页岩孔隙结构的复杂性。本研究对四川盆地南部筠连区块的乐平组页岩进行了调查。通过场发射扫描电子显微镜(FE-SEM)、页岩地球化学和矿物成分分析,采用低压CO吸附(LP-COA)和低温N吸附(LT-NA)方法研究了该页岩的孔隙结构特征。通过Frenkel-Halsey-Hill(FHH)模型计算孔隙分形维数,并讨论了分形维数、页岩成分(总有机碳(TOC)、石英和粘土矿物含量)与孔隙结构之间的关系。结果表明,研究区乐平组页岩的TOC含量较高,范围为0.9%至4.48%,平均为2.25%。石英含量为17.2%至60.1%,粘土矿物含量为33.8%至67.2%。基于FE-SEM和N吸附-脱附曲线分析,乐平组页岩的孔隙类型复杂,有机孔隙、粒内孔隙和微裂缝在尺度和发育程度上存在显著差异。孔隙形态大多为窄缝型扁平孔隙和四边开放或锥形扁平孔隙。孔径分布呈现多峰模式。孔隙类型主要为中孔,其次为微孔和极少的大孔。微孔的比表面积(SSA)占总SSA的78%以上。页岩的分形维数范围为2.262至2.618(平均值为2.519),分形维数范围为2.662至2.843(平均值为2.739)。大于,表明孔隙内部结构比表面结构明显更复杂。TOC和粘土矿物含量与Brunauer-Emmett-Teller(BET)SSA和Barret-Joyner-Halenda(BJH)PV呈正相关,而石英含量与BET SSA和BJH PV呈负相关。所考虑的分形维数与TOC含量、粘土矿物含量、BET SSA和BJH PV呈正相关,但与石英含量和平均孔径呈负相关。通过分形维数分析对研究页岩孔隙结构的复杂性和非均质性进行了定量评价;因此,该方法可应用于页岩孔隙结构分布特征研究和储层评价。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/716718e39680/ao4c08141_0013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/3198a2e0e616/ao4c08141_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/6675f144af57/ao4c08141_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/81a7aa6b4e66/ao4c08141_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/7aff273c2e3f/ao4c08141_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/7b3c966e6067/ao4c08141_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/b49d210ea030/ao4c08141_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/7992d1706d2a/ao4c08141_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/0b3282f9952e/ao4c08141_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/4e1410ae103d/ao4c08141_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/3c33ed04a08f/ao4c08141_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/d0f5da3e4959/ao4c08141_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/8dbb22f79b21/ao4c08141_0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/716718e39680/ao4c08141_0013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/3198a2e0e616/ao4c08141_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/6675f144af57/ao4c08141_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/81a7aa6b4e66/ao4c08141_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/7aff273c2e3f/ao4c08141_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/7b3c966e6067/ao4c08141_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/b49d210ea030/ao4c08141_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/7992d1706d2a/ao4c08141_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/0b3282f9952e/ao4c08141_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/4e1410ae103d/ao4c08141_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/3c33ed04a08f/ao4c08141_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/d0f5da3e4959/ao4c08141_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/8dbb22f79b21/ao4c08141_0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6cf/11696750/716718e39680/ao4c08141_0013.jpg

相似文献

1
Study of the Pore Structure and Fractal Characteristics of the Leping Formation Shale in the Junlian Block, Southern Sichuan Basin.四川盆地南部筠连区块乐平组页岩孔隙结构与分形特征研究
ACS Omega. 2024 Dec 16;9(52):51363-51378. doi: 10.1021/acsomega.4c08141. eCollection 2024 Dec 31.
2
Pore Structure and Fractal Characteristics of Deep Shale: A Case Study from Permian Shanxi Formation Shale, from the Ordos Basin.深部页岩的孔隙结构与分形特征:以鄂尔多斯盆地二叠系山西组页岩为例
ACS Omega. 2022 Mar 14;7(11):9229-9243. doi: 10.1021/acsomega.1c05779. eCollection 2022 Mar 22.
3
Multi-Angle Investigation of the Fractal Characteristics of Nanoscale Pores in the Lower Cambrian Niutitang Shale and Their Implications for CH₄ Adsorption.纳米级孔隙分形特征的多角研究及其对下寒武统牛蹄塘页岩 CH₄ 吸附的启示
J Nanosci Nanotechnol. 2021 Jan 1;21(1):156-167. doi: 10.1166/jnn.2021.18463.
4
Nanopore Structure and Fractal Characteristics of Lacustrine Shale: Implications for Shale Gas Storage and Production Potential.湖相页岩的纳米孔隙结构与分形特征:对页岩气储存与生产潜力的启示
Nanomaterials (Basel). 2019 Mar 7;9(3):390. doi: 10.3390/nano9030390.
5
Characterization of the Pore Structure and Influencing Factors of CH Adsorption Capacity in Marine Shale Gas Reservoirs.海相页岩气藏CH吸附能力的孔隙结构表征及影响因素
ACS Omega. 2025 Jan 22;10(4):3520-3534. doi: 10.1021/acsomega.4c07809. eCollection 2025 Feb 4.
6
Fractal Characteristics and Significance of Different Pore Types of the Wufeng-Longmaxi Formation, Southern Sichuan Basin, China, Based on N Adsorption and Image Analysis.基于N吸附和图像分析的中国四川盆地南部五峰-龙马溪组不同孔隙类型的分形特征及意义
ACS Omega. 2021 Nov 10;6(46):30889-30900. doi: 10.1021/acsomega.1c02539. eCollection 2021 Nov 23.
7
Pore Structure and Fractal Analysis of Low-Resistivity Longmaxi Shale in the Southern Sichuan Basin Combining SEM, Gas Adsorption, and NMR.结合扫描电子显微镜、气体吸附和核磁共振对四川盆地南部低电阻率龙马溪组页岩孔隙结构与分形分析
ACS Omega. 2024 Oct 18;9(43):43706-43724. doi: 10.1021/acsomega.4c05993. eCollection 2024 Oct 29.
8
Study on the Pore Structure and Fractal Characteristics of Different Lithofacies of Wufeng-Longmaxi Formation Shale in Southern Sichuan Basin, China.中国四川盆地南部五峰—龙马溪组页岩不同岩相孔隙结构与分形特征研究
ACS Omega. 2022 Mar 3;7(10):8724-8738. doi: 10.1021/acsomega.1c06913. eCollection 2022 Mar 15.
9
Fractal Characteristics of the Middle-Upper Ordovician Marine Shale Nano-Scale Porous Structure from the Ordos Basin, Northeast China.中国东北鄂尔多斯盆地中上奥陶统海相页岩纳米级孔隙结构的分形特征。
J Nanosci Nanotechnol. 2021 Jan 1;21(1):274-283. doi: 10.1166/jnn.2021.18885.
10
Pore Structure and Fractal Dimension in Marine Mature Silicon-Rich Shale of the Dalong Formation in Western Hubei.鄂西地区大隆组海相成熟富硅页岩的孔隙结构与分形维数
ACS Omega. 2024 Feb 26;9(10):11718-11729. doi: 10.1021/acsomega.3c09085. eCollection 2024 Mar 12.