Rapid characterization of crude oil by NMR relaxation using new user-friendly software

被引:7
作者
Canan, Talha Furkan [1 ]
Ok, Salim [2 ]
Al-Bazzaz, Waleed [2 ]
Ponnuswamy, Shunmugavel [2 ]
Fernandes, Michael [2 ]
Al-Shamali, Mustafa [2 ]
Qubian, Ali [3 ]
Sagidullin, Alexander [4 ]
机构
[1] Ohio Univ, Sch Elect Engn & Comp Sci, Athens, OH 45701 USA
[2] Kuwait Inst Sci Res, Petr Res Ctr, POB 24885, Safat 13109, Kuwait
[3] Kuwait Oil Co, Innovat & Technol Explorat & Prod, POB 9758, Ahmadi 61008, Kuwait
[4] Oxford Instruments Magnet Resonance, Abingdon OX13 5QX, Oxon, England
关键词
Crude oil; Physical property; Low-field NMR relaxation; Software;
D O I
10.1016/j.fuel.2022.123793
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
This study demonstrates the feasibility of using low-field nuclear magnetic resonance (LF-NMR) relaxometry for the identification and characterization of crude oils as an alternative and robust technique. In general, the NMR relaxometry is based on monitoring nuclear spin dynamics (molecular dynamics) and analyzing its dependencies on the physicochemical properties of samples. The approach reported in this study comprises the initial analysis of crude oils by several standard American Society for Testing and Materials (ASTM) methods followed by a series of routine LF-NMR measurements. The LF-NMR based method showed the following practical advantages: It is non-destructive, requires minimum sample preparation without hazardous solvents, which helps keeping analysis costs reasonably low. The NMR analysis itself is fast and takes a few seconds for a crude oil sample. The whole method workflow is simple and easy to perform in specially developed user-friendly software that was "trained" to determine physical properties including kinematic viscosity, density, degrees API gravity, sulfur content, total acid number, refractive index, specific gravity, asphaltene content, microcarbon residue of crude oils using empirical correlations between the oil properties and experimental NMR relaxation values.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] AG-NGS: A powerful and user-friendly computing application for the semi-automated preparation of next-generation sequencing libraries using open liquid handling platforms
    Callejas, Sergio
    Alvarez, Rebeca
    Benguria, Alberto
    Dopazo, Ana
    BIOTECHNIQUES, 2014, 56 (01) : 28 - +
  • [42] A new method for concentration determination of crude oil sample using three-dimensional synchronous fluorescence spectra
    Wang Chun-yan
    Jiang Hua-hong
    Gao Ju-wei
    Zhang Jin-liang
    Zheng Rong-er
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26 (06) : 1080 - 1083
  • [43] Chalcone-based colorimetric naked eye detection of vanadium in crude oil using a new microfluidic device
    Zaalan, Astabraq H.
    Al-hazam, Hanan A.
    Abdulsahib, Hassan T.
    Al-aqbi, Zaidon T.
    CHEMICAL PAPERS, 2025, : 2585 - 2601
  • [44] Exploring a new, soluble lipase for FAMEs production in water-containing systems using crude soybean oil as a feedstock
    Cesarini, Silvia
    Diaz, Pilar
    Nielsen, Per Munk
    PROCESS BIOCHEMISTRY, 2013, 48 (03) : 484 - 487
  • [45] A New Investigation on Asphaltene Removal from Crude Oil: Experimental Study in Flow–Loop System Using Maghemite Nanoparticles
    B. Mirzayi
    M. Younesi
    A. Nematollahzadeh
    Petroleum Chemistry, 2021, 61 : 640 - 648
  • [46] A New Investigation on Asphaltene Removal from Crude Oil: Experimental Study in Flow-Loop System Using Maghemite Nanoparticles
    Mirzayi, B.
    Younesi, M.
    Nematollahzadeh, A.
    PETROLEUM CHEMISTRY, 2021, 61 (05) : 640 - 648
  • [47] Experimental study and a proposed new approach for thermodynamic modeling of wax precipitation in crude oil using a PC-SAFT model
    Behbahani, Taraneh Jafari
    PETROLEUM SCIENCE, 2016, 13 (01) : 155 - 166
  • [48] Experimental study and a proposed new approach for thermodynamic modeling of wax precipitation in crude oil using a PC-SAFT model
    Taraneh Jafari Behbahani
    Petroleum Science, 2016, (01) : 155 - 166
  • [49] Characterisation and selection of demulsifiers for water-in-crude oil emulsions using low-field 1H NMR and ESI-FT-ICR MS
    Carneiro, Giovanna F.
    Silva, Renzo C.
    Barbosa, Lucio L.
    Freitas, Jair C. C.
    Sad, Cristina M. S.
    Tose, Lilian V.
    Vaz, Boniek G.
    Romao, Wanderson
    de Castro, Eustaquio V. R.
    Cunha Neto, Alvaro
    Lacerda, Valdemar, Jr.
    FUEL, 2015, 140 : 762 - 769
  • [50] A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
    Karasu, Seckin
    Altan, Aytac
    Bekiros, Stelios
    Ahmad, Wasim
    ENERGY, 2020, 212 (212)