贾子健

(1) Jia Zijian; Xiao Lizhi; Wang Zhizhan; Liao Guangzhi; Zhang Yan; Liang Can ; Moleculardynamics and composition of crude oil by low-field nuclear magnetic resonance, Magnetic Resonance in Chemistry, 2016, 54(8):

(2) Jia Zijian; Xiao Lizhi; Wang Zhizhan; Liao Guangzhi; Zhang Yan; Liang Can; Guo Long ;Magic Echo for Nuclear Magnetic Resonance Characterization of Shales, Energy & Fuels, 2017,31(8): 7824-7830

(3) Jia Zijian; Xiao Lizhi; Chen Zhong; Liao Guangzhi; Zhang Yan; Wang Zhizhan; Liang Can;Guo Long ; Determining shale organic porosity and total organic carbon by combining spin echo,solid echo and magic echo, Microporous and Mesoporous Materials, 2018.10, 269: 12-16

(4) Zijian Jia*; Can Liang ; Molecular Dynamics and Chain Length of Edible Oil Using Low-Field

Nuclear Magnetic Resonance, Molecules, 2023, 28(1): 197

(5) Can Liang; Zijian Jia*; Rui Chen ; An Automated Particle Size Analysis Method for SEM

Images of Powder Coating Particles, Coatings, 2023, 13(9): 1547

(6) Jia Z*, Liang C, Zeng C, et al. Identifying Different Components of Oil and Gas Shale from Low-Field NMR Two-Dimensional Spectra Based on Deep Learning. Magnetochemistry, 2024, 10(10): 70.

(7) Liang C, Jia Z, Xiao L, et al. Application Limits and Influencing Factors in Characterization of Rock Cores Using the Phase-Encoded T 2-y Method in Low-Field NMR. Energy & Fuels, 2024, 38(14): 12612-12624.

(8) Liang C, Jia Zijian, XIAO L Z. Review on nuclear magnetic resonance characterization for rock wettability. Progress in Geophysics, 2023, 38(4): 1610-1624.

(9) Chen R, Yue J, Li R, Jia Zijian*. Research on Diffusion Kurtosis Imaging of the Brain based on Deep Learning. IEEE Access, vol. 13, pp. 67769-67783, 2025

(10) Liang C, Jia Zijian, Guo L, et al. Study on spontaneous imbibition of sandstones using NMR. Chinese Journal of Geophysics, 2025: 1-14.

2019/06 – 至今, 上海理工大学, 健康科学与工程学院, 讲师

2018/01 – 2019/05, 飞利浦医疗科技有限公司，磁共振研发中心，系统工程师

2011/09 – 2017/12, 中国石油大学（北京）, 地质资源与地质工程, 博士

2007/09 – 2011/06, 中国石油大学（北京）, 勘查技术与工程, 本科

1.磁共振成像技术

2.医学图像智能分析

3.磁共振探头研制

主持：

[1] 自然资源部页岩气资源勘查重点实验室: 含气页岩有机质和有机质孔隙的核磁共振响应特征和评价方法研究, 2021/01 至 2023/12

[2] 中国科学院生物物理研究所: 7T快速扩散峰态成像序列优化及测试, 2021/12-2022/12.

[3] 丹东百特仪器有限公司: 颗粒物电镜纤维镜图片数字化识别关键技术研究, 2021/01 – 2023/12.

参与：

[1] 国家自然科学基金面上基金: 铁电单晶原子尺度的局域结构演变与其超高压电响应机理研究, 2024/01-2027/12.

[2] 国家自然科学基金重大科研仪器研制项目，21427812，极端环境核磁共振科学仪器研制，2015/01至2019/12

(1) 梁灿; 贾子健; 郭龙; 宋杨 ; 一种核磁共振测量致密岩石润湿性的方法, 2023-10-10, 中国,CN202111578975.9 (专利)

(2) 梁灿; 贾子健; 余智昊; 郭龙; 崔贞 ; 一种考虑多相流和混合润湿特征的岩石核磁共振模拟方法,2022-10-21, 中国, CN202211294809.0 (专利)

(3) 梁灿; 贾子健; 李秀琪; 周昕亮; 顾安吉 ; 一种用于提升分子动力学模拟核磁共振弛豫尺度的方法,2023-02-22, 中国, CN202310154729.3 (专利)

(4) 肖立志; 贾子健; 廖广志 ; 低场核磁共振测量页岩有机质含量的方法及装置, 2016-1-13, 中国,CN201510628221.8 (专利)

(5) 肖立志; 陈伟梁; 廖广志; 贾子健; 邓峰 ; 低场核磁共振确定沥青质含量的方法及装置, 2015-12-9,中国, CN201510628183.6 (专利)