石油勘探与开发 >

2018 , Vol. 45 >Issue 3: 396 - 405

DOI: https://doi.org/10.11698/PED.2018.03.04

油气勘探

页岩微观孔隙模型构建——以滇黔北地区志留系龙马溪组页岩为例

  • 陈科洛 ,
  • 张廷山 ,
  • 陈晓慧 ,
  • 何映颉 ,
  • 梁兴
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  • 1. 西南石油大学地球科学与技术学院,成都 610500;
    2. 四川省地质矿产勘查开发局测绘队,成都 610017;
    3. 中国石油浙江油田公司,杭州 310023
陈科洛（1994-）,男,四川自贡人,西南石油大学在读硕士研究生,从事非常规油气地质研究。地址：四川省成都市新都区新都大道8号,西南石油大学地球科学与技术学院,邮政编码：610500。E-mail：490486153@qq.com

收稿日期: 2018-01-09

  修回日期: 2018-04-13

  网络出版日期: 2018-04-11

基金资助

国家自然科学基金（41772150）;国家科技重大专项（2017ZX05063002-009）

收起

Model construction of micro-pores in shale: A case study of Silurian Longmaxi Formation shale in Dianqianbei area, SW China

  • CHEN Keluo ,
  • ZHANG Tingshan ,
  • CHEN Xiaohui ,
  • HE Yingjie ,
  • LIANG Xing
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  • 1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China;
    2. Surveying and Mapping Team, Sichuan Bureau of Geology & Mineral Resources, Chengdu 610017, China;
    3. PetroChina Zhejiang Oilfield Company, Hangzhou 310023, China

Received date: 2018-01-09

  Revised date: 2018-04-13

  Online published: 2018-04-11

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摘要

基于扫描电镜、低温氮气吸附实验分析,对滇黔北地区志留系龙马溪组页岩孔隙类型与孔隙结构进行分析,并开展分子模型搭建,利用数理统计理论将模型验证问题转变为数学问题进行求证。通过镜下分析发现页岩孔隙类型以黏土矿物层间孔和有机质孔为主,氮气吸附实验指示孔隙以似片状颗粒组成的槽状孔与微孔为主要类型,二者具有良好的一致性。利用伊利石分子模型与石墨烯分子模型对页岩进行分子模型搭建并基于分形理论与分形Frenkel-Halsey-Hill公式,提出Modified Frenkel-Halsey-Hill公式的模型验证方法。通过对分形维数、置换率、分形修正系数的求取与数学计算,验证模型基本可靠。模型验证方法的提出为页岩储集层定量化研究提供了理论依据。图10表3参39

关键词： 滇黔北地区; 页岩; 志留系; 龙马溪组; 微观孔隙; 孔隙模型; 模型验证

本文引用格式

陈科洛 , 张廷山 , 陈晓慧 , 何映颉 , 梁兴 . 页岩微观孔隙模型构建——以滇黔北地区志留系龙马溪组页岩为例[J]. 石油勘探与开发, 2018 , 45(3) : 396 -405 . DOI: 10.11698/PED.2018.03.04

Abstract

Based on scanning electron microscopy and nitrogen adsorption experiment at low temperature, the pore types and structures of the Longmaxi Formation shale in the Dianqianbei area, SW China were analyzed, and a molecular model was built. According to mathematical statistics, the validation of the model was solved by converting it into a mathematical formula. It is found by SEM that the pores in clay mineral layers and organic pores occupy most of the pores in shale; the nitrogen adsorption experiment at low temperature reveals that groove pores formed by flaky particles and micro-pores are the main types of pores, and the results of the two are in good agreement. A molecular model was established by illite and graphene molecular structures. Moreover, based on the fractal theory and the Frenkel-Halsey-Hill formula, a modified Frenkel-Halsey-Hill formula was proposed. The reliability of the molecular model was verified to some extent by obtaining parameters such as the fractal dimension, replacement rate and fractal coefficients of correction, and mathematical calculation. This study provides the theoretical basis for quantitative study of shale reservoirs.

Key words： Dianqianbei area; shale; Silurian; Longmaxi Formation; micro-pore; pore model; model verification

参考文献

[1] 翟刚毅, 王玉芳, 包书景, 等. 我国南方海相页岩气富集高产主控因素及前景预测[J]. 地球科学, 2017, 42(7): 1057-1068.
ZHAI Gangyi, WANG Yufang, BAO Shujing, et al.Major factors controlling the accumulation and high productivity of marine shale gas and prospect forecast in Southern China[J]. Earth Science, 2017, 42(7): 1057-1068.
[2] 王世谦. 页岩气资源开采现状、问题与前景[J]. 天然气工业, 2017, 37(6): 115-130.
WANG Shiqian.Shale gas exploitation: Status, issues and prospects[J]. Natural Gas Industry, 2017, 37(6): 115-130.
[3] 王志峰, 张元福, 梁雪莉, 等. 四川盆地五峰组—龙马溪组不同水动力成因页岩岩相特征[J]. 石油学报, 2014, 35(4): 623-632.
WANG Zhifeng, ZHANG Yuanfu, LIANG Xueli, et al.Characteristics of shale lithofacies formed under different hydrodynamic conditions in the Wufeng-Longmaxi Formation, Sichuan Basin[J]. Acta Petrolei Sinica, 2014, 35(4): 623-632.
[4] 赵建华, 金之钧, 金振奎, 等. 四川盆地五峰组—龙马溪组页岩岩相类型与沉积环境[J]. 石油学报, 2016, 37(5): 572-586.
ZHAO Jianhua, JIN Zhijun, JIN Zhenkui, et al.Lithofacies types and sedimentary environment of shale in Wufeng-Longmaxi Formation, Sichuan Basin[J]. Acta Petrolei Sinica, 2016, 37(5): 572-586.
[5] 张廷山, 杨洋, 龚其森, 等. 四川盆地南部早古生代海相页岩微观孔隙特征及发育控制因素[J]. 地质学报, 2014, 88(9): 1728-1740.
ZHANG Tingshan, YANG Yang, GONG Qisen, et al.Characteristics and mechanisms of the micro-pores in the early Palaeozoic marine shale, southern Sichuan Basin[J]. Acta Geologica Sinica, 2014, 88(9): 1728-1740.
[6] 李艳芳, 邵德勇, 吕海刚, 等. 四川盆地五峰组—龙马溪组海相页岩元素地球化学特征与有机质富集的关系[J]. 石油学报, 2015, 36(12): 1470-1483.
LI Yanfang, SHAO Deyong, LYU Haigang, et al.A relationship between elemental geochemical characteristics and organic matter enrichment in marine shale of Wufeng Formation—Longmaxi Formation, Sichuan Basin[J]. Acta Petrolei Sinica, 2015, 36(12): 1470-1483.
[7] 陈欢庆, 曹晨, 梁淑贤, 等. 储层孔隙结构研究进展[J]. 天然气地球科学, 2013, 24(2): 227-237.
CHEN Huanqing, CAO Chen, LIANG Shuxian, et al.Research advances on reservoir pores[J]. Natural Gas Geoscience, 2013, 24(2): 227-237.
[8] TAHMASEBI P, JAVADPOUR F, SAHIMI M.Three-dimensional stochastic characterization of shale SEM images[J]. Transport in Porous Media, 2015, 110(3): 521-531.
[9] YAN B CH, WANG Y H, KILLOUGH J E.Beyond dual-porosity modeling for the simulation of complex flow mechanisms in shale reservoirs[J]. Computational Geosciences, 2016, 20(1): 69-91.
[10] 聂昕, 邹长春, 孟小红, 等. 页岩气储层岩石三维数字岩心建模:以导电性模型为例[J]. 天然气地球科学, 2016, 27(4): 706-715.
NIE Xin, ZOU Changchun, MENG Xiaohong, et al.3D digital core modeling of shale gas reservoir rocks: A case study of conductivity model[J]. Natural Gas Geoscience, 2016, 27(4): 706-715.
[11] 陈晨, 卢双舫, 李俊乾, 等. 不同岩相泥页岩数字岩心构建方法研究: 以东营凹陷为例[J]. 现代地质, 2017, 31(5): 1069-1078.
CHEN Chen, LU Shuangfang, LI Junqian, et al.Digital core modeling construction of different lithofacies shale: A case study of dongying depression[J]. Geoscience, 2017, 31(5): 1069-1078.
[12] 庞伟. 采用多点地质统计法重构页岩的数字岩心[J]. 天然气工业, 2017, 37(9): 71-78.
PANG Wei.Reconstruction of digital shale cores using multi-point geostatistics[J]. Natural Gas Industry, 2017, 37(9): 71-78.
[13] CHALMERS G R, BUSTIN R M, POWER I M.Characterization of gas shale pore systems by porosimetry, pycnometry, surface area, and field emission scanning electron microscopy/transmission electron microscopy image analyses: Examples from the Barnett, Woodford, Haynesville, Marcellus, and Doig unit[J]. AAPG Bulletin, 2012, 96(6): 1099-1119.
[14] 刘文平, 张成林, 高贵冬, 等. 四川盆地龙马溪组页岩孔隙度控制因素及演化规律[J]. 石油学报, 2017, 38(2): 175-184.
LIU Wenping, ZHANG Chenglin, GAO Guidong, et al.Controlling factors and evolution laws of shale porosity in Longmaxi Formation, Sichuan Basin[J]. Acta Petrolei Sinica, 2017, 38(2): 175-184.
[15] LOUCKS R G, REED R M, RUPPEL S C, et al.Spectrum of pore types and networks in mudrocks and a descriptive classification for matrix-related mudrock pores[J]. AAPG Bulletin, 2012, 96(6): 1071-1098.
[16] 杨峰, 宁正福, 张世栋, 等. 基于氮气吸附实验的页岩孔隙结构表征[J]. 天然气工业, 2013, 33(4): 135-140.
YANG Feng, NING Zhengfu, ZHANG Shidong, et al.Characterization of pore structures in shales through nitrogen adsorption experiment[J]. Natural Gas Industry, 2013, 33(4): 135-140.
[17] 中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 气体吸附BET法测定固态物质比表面积: GB/T 19587— 2004[S]. 北京: 中国标准出版社, 2005.
State General Administration of the People’s Republic of China for Quality Supervision and Inspection and Quarantine, Standardization Administration of the People’s Republic of China. Determination of the specific surface area of solids by gas adsorption using the BET method: GB/T 19587—2004[S]. Beijing: Standards Press of China, 2005.
[18] 罗超, 刘树根, 孙玮, 等. 鄂西—渝东地区下寒武统牛蹄塘组黑色页岩孔隙结构特征[J]. 东北石油大学学报, 2014, 38(2): 8-17.
LUO Chao, LIU Shugen, SUN Wei, et al.Pore structure characterization of black shale in the lower Cambrian Niutitang formation in western Hubei and eastern Chongqing area[J]. Journal of Northeast Petroleum University, 2014, 38(2): 8-17.
[19] 张大智. 利用氮气吸附实验分析致密砂岩储层微观孔隙结构特征: 以松辽盆地徐家围子断陷沙河子组为例[J]. 天然气地球科学, 2017, 28(6): 898-908.
ZHANG Dazhi.Characterization of microscopic pore structure of tight Sandstone reservoirs through nitrogen adsorption experiment: Case study of Shahezi Formation in Xujiaweizi Fault Depression, Songliao Basin, China[J]. Natural Gas Geoscience, 2017, 28(6): 898-908.
[20] 贺承祖, 华明琪. 储层孔隙结构的分形几何描述[J]. 石油与天然气地质, 1998, 19(1): 15-23.
HE Chengzu, HUA Mingqi.Fractal geometry description of reservoir pore structure[J]. Oil & Gas Geology, 1998, 19(1): 15-23.
[21] 杨宇, 孙晗森, 彭小东. 煤层气储层孔隙结构分形特征定量研究[J]. 特种油气藏, 2013, 20(1): 31-33.
YANG Yu, SUN Hansen, PENG Xiaodong, et al.Quantitative study on fractal characteristics of the structure of CBM reservoir[J]. Special Oil and Gas Reservoirs, 2013, 20(1): 31-33.
[22] 陈燕燕, 邹才能, MASTALERZ M, 等. 页岩微观孔隙演化及分形特征研究[J]. 天然气地球科学, 2015, 26(9): 1646-1656.
CHEN Yanyan, ZOU Caineng, MASTALERZ M, et al.Porosity and fractal characteristics of shale across a maturation gradient[J]. Natural Gas Geoscience, 2015, 26(9): 1646-1656.
[23] YANG F, N ZH F, LIU H. Fractal characteristics of shales from a shale gas reservoir in the Sichuan Basin, China[J]. Fuel, 2014, 115(1): 378-384.
[24] 徐勇, 吕成福, 陈国俊, 等. 川东南龙马溪组页岩孔隙分形特征[J]. 岩性油气藏, 2015, 27(4): 32-39.
XU Yong, LYU Chengfu, CHEN Guojun, et al.Fractal characteristics of shale pores of Longmaxi Formation in southeast Sichuan Basin[J]. Lithologic Reservoirs, 2015, 27(4): 32-39.
[25] SAKHAEE-POUR A, LI W F.Fractal dimensions of shale[J]. Journal of Natural Gas Science and Engineering, 2016, 30: 578-582.
[26] LOWELL S, SHIELDS J E, THOMAS M A, et al.Characterization of porous solids and powders: Surface area, pore size and density[J]. Particle Technology, 2004, 16(9): 1620.
[27] RIGBY S P.Predicting surface diffusivities of molecules from equilibrium adsorption isotherms[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2005, 262(1): 139-149.
[28] 傅家谟, 秦匡宗. 干酪根地球化学[M]. 广州: 广东科技出版社, 1995.
FU Jiamo, QIN Kuangzong.Kerogen geochemistry[M]. Guangzhou: Guangdong Science and Technology Press, 1995.
[29] CHEN X, CAO G, HAN A, et al.Nanoscale fluid transport: Size and rate effects[J]. Nano Letters, 2008, 8(9): 2988-2992.
[30] KANNAM S K, TODD B D, HANSEN J S, et al.Slip flow in graphene nanochannels[J]. Journal of Chemical Physics, 2011, 135(14): 144701.
[31] FIROUZI M, WILCOX J.Molecular modeling of carbon dioxide transport and storage in porous carbon-based materials[J]. Microporous and Mesoporous Materials, 2012, 158: 195-203.
[32] LIU Y, ZHU Y, LI W, et al.Molecular simulation of methane adsorption in shale based on grand canonical Monte Carlo method and pore size distribution[J]. Journal of Natural Gas Science and Engineering, 2016, 30: 119-126.
[33] QI H, MA J, WONG P Z.Adsorption isotherms of fractal surfaces[J]. Colloids & Surfaces A: Physicochemical & Engineering Aspects, 2002, 206(1): 401-407.
[34] PYUN S I, RHEE C K.An investigation of fractal characteristics of mesoporous carbon electrodes with various pore structures[J]. Electrochimica Acta, 2004, 49(24): 4171-4180.
[35] 鲜学福, 殷宏, 周军平, 等. 页岩气藏超临界CO2致裂增渗实验装置研制[J]. 西南石油大学学报(自然科学版), 2015, 37(3): 1-8.
XIAN Xuefu, YIN Hong, ZHOU Junping, et al.A new experimental apparatus for fracturing shale gas reservoir to enhance permeability with super critical carbon dioxide[J]. Journal of Southwest Petroleum University (Science & Technology Edition), 2015, 37(3): 1-8.
[36] 李毅, 张可霓, 王笑雨. 页岩气开发中吸附—解吸过程的影响及CO2驱替页岩气的模拟研究[J]. 北京师范大学学报(自然科学版), 2015, 51(4): 399-403.
LI Yi, ZHANG Keni, WANG Xiaoyu.Modeling the impact of adsorption-desorption process in shale gas development and CO2 enhanced gas recovery[J]. Journal of Beijing Normal University (Natural Science), 2015, 51(4): 399-403.
[37] 张廷山, 何映颉, 杨洋, 等. 有机质纳米孔隙吸附页岩气的分子模拟[J]. 天然气地球科学, 2017, 28(1): 146-155.
ZHANG Tingshan, HE Yingjie, YANG Yang, et al.Molecular simulation of shale gas adsorption in organic-matter nanopores[J]. Natural Gas Geoscience, 2017, 28(1): 146-155.
[38] 王敬, 罗海山, 刘慧卿, 等. 页岩气吸附解吸效应对基质物性影响特征[J]. 石油勘探与开发, 2016, 43(1): 145-152.
WANG Jing, LUO Haishan, LIU Huiqing, et al.Influences of adsorption/desorption of shale gas on the apparent properties of matrix pores[J]. Petroleum Exploration and Development, 2016, 43(1): 145-152.
[39] 杜东兴, 王德玺, 贾宁洪, 等. 多孔介质内CO2泡沫液渗流特性实验研究[J]. 石油勘探与开发, 2016, 43(3): 456-461.
DU Dongxing, WANG Dexi, JIA Ninghong, et al.Experiments on CO2 foam seepage characteristics in porous media[J]. Petroleum Exploration and Development, 2016, 43(3): 456-461.
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