碎屑颗粒含量与泥页岩孔隙分布关系的概念模型&mdash;&mdash;以黔西北志留系龙马溪组为例

禚喜准; 闫清涣; 张姣姣; 张林炎; 陈骁帅; 马立成

doi:10.14027/j.issn.1000-0550.2018.099

ISSN 1000-0550 CN 62-1038/P

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碎屑颗粒含量与泥页岩孔隙分布关系的概念模型——以黔西北志留系龙马溪组为例

禚喜准, 闫清涣, 张姣姣, 张林炎, 陈骁帅, 马立成

文章导航 > 沉积学报 > 2018 > 36(5): 969-980

禚喜准, 闫清涣, 张姣姣, 张林炎, 陈骁帅, 马立成. 碎屑颗粒含量与泥页岩孔隙分布关系的概念模型——以黔西北志留系龙马溪组为例[J]. 沉积学报, 2018, 36(5): 969-980. doi: 10.14027/j.issn.1000-0550.2018.099

引用本文:

ZHUO XiZhun, YAN QingHuan, ZHANG JiaoJiao, ZHANG LinYan, CHEN XiaoShuai, MA LiCheng. Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example[J]. Acta Sedimentologica Sinica, 2018, 36(5): 969-980. doi: 10.14027/j.issn.1000-0550.2018.099

Citation:

ZHUO XiZhun, YAN QingHuan, ZHANG JiaoJiao, ZHANG LinYan, CHEN XiaoShuai, MA LiCheng. Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example[J]. Acta Sedimentologica Sinica, 2018, 36(5): 969-980. doi: 10.14027/j.issn.1000-0550.2018.099

引用本文:

Citation:

ZHUO XiZhun, YAN QingHuan, ZHANG JiaoJiao, ZHANG LinYan, CHEN XiaoShuai, MA LiCheng. Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example[J]. Acta Sedimentologica Sinica, 2018, 36(5): 969-980. doi: 10.14027/j.issn.1000-0550.2018.099

碎屑颗粒含量与泥页岩孔隙分布关系的概念模型——以黔西北志留系龙马溪组为例

doi: 10.14027/j.issn.1000-0550.2018.099

1.
辽宁工程技术大学地质系, 辽宁阜新 123000;
2.
中国地质科学院地质力学研究所, 北京 100081

基金项目: 国家自然科学基金项目（41402101）；辽宁省教育厅一般项目（14-1167）

详细信息

作者简介:
禚喜准,男,1981年出生,博士,副教授,层序地层学与储层沉积学,E-mail:zhuoxizhun@126.com

中图分类号: P618.13

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文章访问数: 366
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Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example

1.
Department of Geology, Liaoning Technical University, Fuxin, Liaoning 123000, China;
2.
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China

Funds: National Natural Science Foundation of China,No. 41402101; Liaoning Provincial Department of Education General Project,No. 14-1167

摘要

摘要: 岩石的组分、结构和颗粒排列，决定了孔隙的发育特征，但从结构—成因角度探讨碎屑颗粒含量及其排列样式对泥页岩孔隙分布影响的研究较少。以黔西北志留系龙马溪组黑色泥页岩为例，基于薄片分析、XRD分析和扫描电镜等分析结果，根据碎屑颗粒排列方式，将泥页岩分为“颗粒分散状”和“纹层状”两种类型，提出泥页岩孔隙结构的概念模型，由此分析碎屑颗粒含量对孔隙发育的影响。对于“颗粒分散状”泥页岩来讲，碎屑颗粒含量低于52.4%时，主要发育黏土矿物微孔隙，孔隙度随颗粒含量的增加而减小；当碎屑颗粒含量达到52.4%时，颗粒间全部为黏土矿物充填，孔隙度最低；当碎屑颗粒含量继续增加时，粒间孔隙大量出现，孔隙度也将迅速增大。对于“纹层状”泥页岩，颗粒含量的增加会导致砂质纹层内的粒间孔隙不断增多，孔隙度也随之增大，逐渐向常规的碎屑岩储层转变。本模型有助于加深对泥页岩、致密砂岩和常规砂岩孔隙发育机理的理解，对非常规储层的预测评价也有重要启示。
- 颗粒分散状泥页岩 /
- 纹层状泥页岩 /
- 微孔隙 /
- 粒间孔隙 /
- 孔隙度
Abstract: The composition, structure and particles arrangement of rocks determine the developmental characteristics of pores. However, there are few researches performed on the influence of detrital particles content and its arrangement patterns on the pore distribution of shale from the structural-genetic perspectives by far. The black shale of the Silurian Longmaxi Formation in northwestern Guizhou Province was taken as an example for the analysis of thin section, XRD and scanning electron microscopy (SEM), and two types of shales were divided as the "particle dispersal" and "lamellar" according to the arrangement patterns of detritus particles. The conceptual models of pore structure of shales were abstracted and the influence of detrital particles content on the pore development was analyzed. For the particle dispersed shale, the main type of pore is micro pores of clay minerals while the content of clastic particles is less than 52.4%, and the porosity decreases with increase of particles content. When the content of clastic particles reaches 52.4%, the porosity becomes the lowest and the interpartical pores are filled with clay. The interpartical pores will increase with the clastic particles content increasing, and the porosity will increase rapidly. For the laminar shale, the increase of grain content leads to the increase of intergranular pores and the increase of porosity in sand strip, and then result in the transformation of shale reservoir to conventional clastic reservoir gradually. These models can be helpful for a deepen understanding of the development mechanism of porosity in shale, tight sandstone and conventional sandstone, and also important implications to predict and evaluate unconventional reservoirs.
- particle dispersed shale /
- laminated shale /
- micro pore /
- interparticle pore /
- porosity

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[1]	谷一凡, 蔡光银, 李树新, 蒋裕强, 邱振, 孙莎莎, 付永红. 不同岩相海陆过渡相页岩孔隙结构及控制因素 . 沉积学报, 2023, 41(1): 318-332. doi: 10.14027/j.issn.1000-0550.2021.070
[2]	牛永斌, 荆楚涵, 邵威猛, 程怡高, 李志远. 生物扰动油气水储层的研究现状及展望 . 沉积学报, 2023, 41(6): 1934-1953. doi: 10.14027/j.issn.1000-0550.2023.070
[3]	徐良伟, 杨克基, 鲁文婷, 李霄, 魏浩. 富有机质泥页岩微纳米孔隙系统演化特征及模式研究新进展 . 沉积学报, 2022, 40(1): 1-21. doi: 10.14027/j.issn.1000-0550.2020.085
[4]	王爱, 钟大康, 刘忠群, 王威, 杜红权, 周志恒, 唐自成. 深层致密砂岩储层特征及物性控制因素 . 沉积学报, 2022, 40(2): 410-421. doi: 10.14027/j.issn.1000-0550.2020.124
[5]	苟启洋, 徐尚, 郝芳, 舒志国. 焦石坝地区页岩孔隙连通性及有效性评价 . 沉积学报, 2022, 40(5): 1419-1426. doi: 10.14027/j.issn.1000-0550.2021.067
[6]	谷渊涛, 李晓霞, 万泉, 杨曙光. 泥页岩有机质孔隙差异特征及影响因素分析 . 沉积学报, 2021, 39(4): 794-810. doi: 10.14027/j.issn.1000-0550.2020.134
[7]	宋董军, 妥进才, 王晔桐, 吴陈君, 张明峰. 富有机质泥页岩纳米级孔隙结构特征研究进展 . 沉积学报, 2019, 37(6): 1309-1324. doi: 10.14027/j.issn.1000-0550.2019.030
[8]	师政, 邱隆伟, 陆建林, 杨勇强. 南堡地区碳酸盐岩储层孔隙结构特征及对物性的影响 . 沉积学报, 2019, 37(2): 379-389. doi: 10.14027/j.issn.1000-0550.2018.127
[9]	徐起浩. 无明显压实的滨海相沉积孔隙度识别及其机理与意义 . 沉积学报, 2018, 36(6): 1091-1104. doi: 10.14027/j.issn.1000-0550.2018.097
[10]	李成成, 周世新, 李靖, 杨亚南, 付德亮, 马瑜, 李源遽. 鄂尔多斯盆地南部延长组泥页岩孔隙特征及其控制因素 . 沉积学报, 2017, 35(2): 315-329. doi: 10.14027/j.cnki.cjxb.2017.02.010
[11]	高阳, 李忠新. 基于主成分分析的致密砂砾岩孔隙度测井评价方法 . 沉积学报, 2016, 34(4): 716-724. doi: 10.14027/j.cnki.cjxb.2016.04.012
[12]	刘若冰. 超压对川东南地区五峰组—龙马溪组页岩储层影响分析 . 沉积学报, 2015, 33(4): 817-827. doi: 10.14027/j.cnki.cjxb.2015.04.020
[13]	杨巍, 薛莲花, 唐俊, 吕成福, 徐勇, 杨爽, 陈国俊. 页岩孔隙度测量实验方法分析与评价 . 沉积学报, 2015, 33(6): 1258-1264. doi: 10.14027/j.cnki.cjxb.2015.06.018
[14]	. 东营凹陷泥页岩矿物组成及脆度分析 . 沉积学报, 2013, 31(04): 616-620.
[15]	孟元林. 储层孔隙度预测与孔隙演化史模拟方法探讨——以辽河拗陷双清地区为例 . 沉积学报, 2008, 26(5): 780-788.
[16]	刘国勇. 碎屑岩成岩压实作用模拟实验研究 . 沉积学报, 2006, 24(3): 407-413.
[17]	张小莉, 沈英, 陈文学. 利用测井资料分析成岩作用对储集层的影响 . 沉积学报, 2000, 18(1): 127-132.
[18]	史基安, 王琪. 影响碎屑岩天然气储层物性的主要控制因素 . 沉积学报, 1995, 13(2): 128-139.
[19]	顾家裕, 何斌. 塔里木盆地轮南地区三叠系扇三角洲沉积与储集层研究 . 沉积学报, 1994, 12(2): 54-62.
[20]	David C.Kopaska-Merkel, 赖志云. 美国得克萨斯古生界和中生界鲕粒的微孔隙度 . 沉积学报, 1991, 9(4): 27-33.

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文章访问数: 366
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碎屑颗粒含量与泥页岩孔隙分布关系的概念模型——以黔西北志留系龙马溪组为例

doi: 10.14027/j.issn.1000-0550.2018.099

1. 辽宁工程技术大学地质系, 辽宁阜新 123000;

2. 中国地质科学院地质力学研究所, 北京 100081

基金项目: 国家自然科学基金项目（41402101）；辽宁省教育厅一般项目（14-1167）

作者简介:
禚喜准,男,1981年出生,博士,副教授,层序地层学与储层沉积学,E-mail:zhuoxizhun@126.com

收稿日期: 2017-11-15
修回日期: 2018-01-07
刊出日期: 2018-10-10

中图分类号: P618.13

关键词:

微孔隙 /

摘要: 岩石的组分、结构和颗粒排列，决定了孔隙的发育特征，但从结构—成因角度探讨碎屑颗粒含量及其排列样式对泥页岩孔隙分布影响的研究较少。以黔西北志留系龙马溪组黑色泥页岩为例，基于薄片分析、XRD分析和扫描电镜等分析结果，根据碎屑颗粒排列方式，将泥页岩分为“颗粒分散状”和“纹层状”两种类型，提出泥页岩孔隙结构的概念模型，由此分析碎屑颗粒含量对孔隙发育的影响。对于“颗粒分散状”泥页岩来讲，碎屑颗粒含量低于52.4%时，主要发育黏土矿物微孔隙，孔隙度随颗粒含量的增加而减小；当碎屑颗粒含量达到52.4%时，颗粒间全部为黏土矿物充填，孔隙度最低；当碎屑颗粒含量继续增加时，粒间孔隙大量出现，孔隙度也将迅速增大。对于“纹层状”泥页岩，颗粒含量的增加会导致砂质纹层内的粒间孔隙不断增多，孔隙度也随之增大，逐渐向常规的碎屑岩储层转变。本模型有助于加深对泥页岩、致密砂岩和常规砂岩孔隙发育机理的理解，对非常规储层的预测评价也有重要启示。

English Abstract

Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example

1. Department of Geology, Liaoning Technical University, Fuxin, Liaoning 123000, China;

2. Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China

Funds: National Natural Science Foundation of China,No. 41402101; Liaoning Provincial Department of Education General Project,No. 14-1167

Received Date: 2017-11-15
Rev Recd Date: 2018-01-07
Publish Date: 2018-10-10

Keywords:

Abstract: The composition, structure and particles arrangement of rocks determine the developmental characteristics of pores. However, there are few researches performed on the influence of detrital particles content and its arrangement patterns on the pore distribution of shale from the structural-genetic perspectives by far. The black shale of the Silurian Longmaxi Formation in northwestern Guizhou Province was taken as an example for the analysis of thin section, XRD and scanning electron microscopy (SEM), and two types of shales were divided as the "particle dispersal" and "lamellar" according to the arrangement patterns of detritus particles. The conceptual models of pore structure of shales were abstracted and the influence of detrital particles content on the pore development was analyzed. For the particle dispersed shale, the main type of pore is micro pores of clay minerals while the content of clastic particles is less than 52.4%, and the porosity decreases with increase of particles content. When the content of clastic particles reaches 52.4%, the porosity becomes the lowest and the interpartical pores are filled with clay. The interpartical pores will increase with the clastic particles content increasing, and the porosity will increase rapidly. For the laminar shale, the increase of grain content leads to the increase of intergranular pores and the increase of porosity in sand strip, and then result in the transformation of shale reservoir to conventional clastic reservoir gradually. These models can be helpful for a deepen understanding of the development mechanism of porosity in shale, tight sandstone and conventional sandstone, and also important implications to predict and evaluate unconventional reservoirs.

引用本文:

Citation:

ZHUO XiZhun, YAN QingHuan, ZHANG JiaoJiao, ZHANG LinYan, CHEN XiaoShuai, MA LiCheng. Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example[J]. Acta Sedimentologica Sinica, 2018, 36(5): 969-980. doi: 10.14027/j.issn.1000-0550.2018.099

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碎屑颗粒含量与泥页岩孔隙分布关系的概念模型——以黔西北志留系龙马溪组为例

doi: 10.14027/j.issn.1000-0550.2018.099

作者简介:
禚喜准,男,1981年出生,博士,副教授,层序地层学与储层沉积学,E-mail:zhuoxizhun@126.com

计量

Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example

计量

目录

碎屑颗粒含量与泥页岩孔隙分布关系的概念模型——以黔西北志留系龙马溪组为例

doi: 10.14027/j.issn.1000-0550.2018.099

1. 辽宁工程技术大学地质系, 辽宁阜新 123000;

2. 中国地质科学院地质力学研究所, 北京 100081

作者简介:
禚喜准,男,1981年出生,博士,副教授,层序地层学与储层沉积学,E-mail:zhuoxizhun@126.com

English Abstract

Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example

1. Department of Geology, Liaoning Technical University, Fuxin, Liaoning 123000, China;

2. Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China

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碎屑颗粒含量与泥页岩孔隙分布关系的概念模型——以黔西北志留系龙马溪组为例

doi: 10.14027/j.issn.1000-0550.2018.099

作者简介: 禚喜准,男,1981年出生,博士,副教授,层序地层学与储层沉积学,E-mail:zhuoxizhun@126.com

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Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example

计量

出版历程

目录

碎屑颗粒含量与泥页岩孔隙分布关系的概念模型——以黔西北志留系龙马溪组为例

doi: 10.14027/j.issn.1000-0550.2018.099

1. 辽宁工程技术大学地质系, 辽宁阜新 123000; 2. 中国地质科学院地质力学研究所, 北京 100081

作者简介: 禚喜准,男,1981年出生,博士,副教授,层序地层学与储层沉积学,E-mail:zhuoxizhun@126.com

English Abstract

Conceptual Models for Correlation between Detrital Particles Contents and Pore Distribution of Shale: Taking the Silurian Longmaxi Formation in northwestern Guizhou as an example

1. Department of Geology, Liaoning Technical University, Fuxin, Liaoning 123000, China; 2. Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China

全文HTML

目录

友情链接

期刊在线

联系我们

作者简介:
禚喜准,男,1981年出生,博士,副教授,层序地层学与储层沉积学,E-mail:zhuoxizhun@126.com

1. 辽宁工程技术大学地质系, 辽宁阜新 123000;

2. 中国地质科学院地质力学研究所, 北京 100081

作者简介:
禚喜准,男,1981年出生,博士,副教授,层序地层学与储层沉积学,E-mail:zhuoxizhun@126.com

1. Department of Geology, Liaoning Technical University, Fuxin, Liaoning 123000, China;

2. Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China