Characterization of Shale Pore Size Distribution by NMR Considering the Influence of Shale Skeleton Signals

被引:24
|
作者
Li, Jinbu [1 ,2 ,3 ]
Lu, Shuangfang [1 ,2 ]
Jiang, Chunqing [3 ]
Wang, Min [1 ,2 ]
Chen, Zhuoheng [3 ]
Chen, Guohui [1 ,2 ]
Li, Jijun [1 ,2 ]
Lu, Shudong [4 ]
机构
[1] China Univ Petr East China, Key Lab Deep Oil & Gas, Qingdao 266580, Shandong, Peoples R China
[2] China Univ Petr East China, Sch Geosci, Qingdao 266580, Shandong, Peoples R China
[3] Geol Survey Canada, Calgary, AB T2L 2A7, Canada
[4] CNPC, Richfit Informat Technol Co Ltd, Beijing 100000, Peoples R China
基金
中国国家自然科学基金;
关键词
NUCLEAR-MAGNETIC-RESONANCE; INJECTION CAPILLARY-PRESSURE; BOHAI BAY BASIN; LACUSTRINE SHALE; FRACTAL CHARACTERISTICS; GEOCHEMICAL PROPERTIES; SURFACE RELAXIVITY; JIYANG DEPRESSION; SONGLIAO BASIN; GAS-ADSORPTION;
D O I
10.1021/acs.energyfuels.9b01317
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
As a non-destructive method, the proton nuclear magnetic resonance (H-1 NMR) technique with low echo time (TE, e.g., 0.07 ms) has been increasingly used for characterizing full pore size distribution (PSD) of shales. However, hydrogen contained in some components of the shale skeleton (e.g., kerogen and structural water) also can be detected by NMR in the case of low TE, resulting in a questionable PSD derived directly from the T-2 spectra of oil-saturated shale. In this study, eight shale samples with different organic and mineralogical components from the Jiyang Depression, China were investigated with regular NMR, low-temperature nitrogen adsorption (LTNA), NMR cryoporometry (NMRC), and mercury injection capillary pressure (MICP) techniques to propose a corrected NMR approach for characterizing shale PSD by considering the influence of the shale skeleton signals. The NMR relaxation characteristics (e.g., T-2 spectra and T-1 - T-2 map) of as-received shale, solvent extracted and dried shale (EX), and oil-saturated shale (OS) were discussed to reveal the NMR response from the shale skeleton itself at T-2 below 1 ms on the T-2 spectra. With the new approach, the NMR T-2 spectra of oil occurring in the OS shale were first obtained through inversion of the differentiated T-2 decay curves between the T-2 decay curves of the EX shale and OS shale and were then converted to PSD by combination of LTNA, NMRC, and MICP results. For pores with T-2 less than 1 ms, the PSD obtained from NMR T-2 spectra of the oil signals only compared well with the results of LTNA and NMRC, with a relative error of less than 15% in pore volume. In contrast, the relative errors of PSD obtained directly from the NMR T-2 spectra of oil-saturated shales were up to 134%. It was found that the higher total organic carbon shale contained, the larger errors in the PSD profiles, pore volume, and porosity that were calculated directly from the oil-saturated shale's NMR T-2 spectra. Compared with the traditional NMR methods, the corrected approach can provide a more accurate PSD for shales, especially for those organic-rich ones.
引用
收藏
页码:6361 / 6372
页数:12
相关论文
共 50 条
  • [1] Apparent permeability of organic matter in shale considering pore size distribution
    Tian, Yuanyuan
    Yan, Changhui
    Deng, Hucheng
    Chen, Qing
    He, Yanqing
    Feng, Xiaolong
    Li, Kai
    [J]. CHEMICAL ENGINEERING SCIENCE, 2023, 266
  • [2] A calculation model of adsorbed shale gas contents considering pore size distribution
    Zhao, Jun
    Deng, Jiajie
    Yang, Lin
    Liu, Kai
    Huang, Ke
    He, Yufei
    [J]. Natural Gas Industry, 2021, 41 (02): : 75 - 82
  • [3] Comprehensive pore size characterization of Midra shale
    Alessa, S.
    Sakhaee-Pour, A.
    Sadooni, F. N.
    Al-Kuwari, H. A.
    [J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2021, 203
  • [4] Shale pore size classification: An NMR fluid typing method
    Liu, Yong
    Yao, Yanbin
    Liu, Dameng
    Zheng, Sijian
    Sun, Guangxuan
    Chang, Yanhai
    [J]. MARINE AND PETROLEUM GEOLOGY, 2018, 96 : 591 - 601
  • [5] Comparative analysis of shale pore size characterization methods
    Yang, Xiaoguang
    Guo, Shaobin
    [J]. PETROLEUM SCIENCE AND TECHNOLOGY, 2020, 38 (14) : 793 - 799
  • [6] Effects of internal gradients on pore-size distribution in shale
    Obasi, Christian
    Pashin, Jack
    [J]. AAPG BULLETIN, 2018, 102 (09) : 1825 - 1840
  • [7] Minimum miscibility pressure determination in confined nanopores considering pore size distribution of tight/shale formations
    Sun, Hao
    Li, Huazhou
    [J]. FUEL, 2021, 286
  • [8] Shale Pore Characterization Using NMR Cryoporometry with Octamethylcyclotetrasiloxane as the Probe Liquid
    Zhang, Qian
    Dong, Yanhui
    Liu, Shimin
    Elsworth, Derek
    Zhao, Yixin
    [J]. ENERGY & FUELS, 2017, 31 (07) : 6951 - 6959
  • [9] Multiscale characterization of shale pore-fracture system: Geological controls on gas transport and pore size classification in shale reservoirs
    Chen, Yufei
    Jiang, Changbao
    Leung, Juliana Y.
    Wojtanowicz, Andrew K.
    Zhang, Dongming
    [J]. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2021, 202
  • [10] Modeling pore size distribution of southern Sichuan shale gas reservoirs
    Lin, Botao
    Chen, Mian
    Jin, Yan
    Pang, Huiwen
    [J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 26 : 883 - 894