主要教科研成果 |
主讲本科生《应用地球物理学原理》、《C语言程序设计（双语）》、《计算方法》等课程。主要研究领域为数字岩石物理、非常规油气测井评价与脉冲中子测井剩余油评价。目前已承担国家自然科学基金项目2项，国家工程实验室开放基金1项，教育部重点实验室青年团队项目1项、开放基金1项；参与国家自然科学基金项目多项。获得湖北省科技进步三等奖一项，中国石油和化工自动化应用协会科技进步二等奖一项。以第一作者或通讯作者身份在《Tectonophysics》、《Journal of Petroleum Science and Engineering》等国内外学术期刊发表学术论文20余篇。主要成果如下：1. 提出建立页岩多组分多尺度数字岩心模型的数学方法和人工智能方法；2. 基于数字岩心研究了页岩、煤岩、碳酸盐岩的导电性和弹性性质敏感性；3. 基于岩石物理研究，提出了新的页岩TOC、吸附气含量、含油性评价模型以及致密砂岩、碳酸盐岩岩性评价模型；4. 提出了基于超声成像测井建立井周孔隙度谱的方法；利用成像测井探明了汶川科学钻探井下的裂缝分布特征和地应力方向；5. 研发了脉冲中子全能谱谱处理及饱和度剩余油测井评价软件。 授权发明专利： 1. 聂昕; 万宇; 张超谟; 张占松; 张冲; 方思南; 一种页岩气储层吸附气含量的检测方法及装置, 2022-12-13, 中国, ZL202110242427.2 2. 万宇; 聂昕; 张超谟; 张占松; 张冲; 方思南; 一种利用测井资料计算页岩油储层含油量的方法, 2023-7-25, 中国, ZL202110785316.6 发表论文（第一作者或通讯作者）： 3. Nie Xin, Zou CC, Pan L, Huang ZH, Liu DM, Fracture analysis and determination of in-situ stress direction from resistivity and acoustic image logs and core data in the Wenchuan Earthquake Fault Scientific Drilling Borehole-2 (50-1370m). Tectonophysics, 2013, v593c:161-171, SCI检索，中科院二区 4. Nie Xin, Zou CC, Li ZH, Meng XH, Qi XH, Numerical simulation of the electrical properties of shale gas reservoir rock based on digital core, Journal of Geophysics and Engineering, 2016. 13(4):481-490, SCI检索，中科院三区 5. Nie Xin, Wan Y, and Bie F, Dual-shale-content method for total organic carbon content evaluation from wireline logs in organic shale. Open Geosciences, 2017, 9:133–137, SCI检索 6. Zhang J, Nie Xin*, Xiao S, Zhang C, Zhang C, Zhang Z, Generating porosity spectrum of carbonate reservoirs using ultrasonic imaging log. Acta Geophysica, 2018, 66(2): 191-201, SCI检索 7. Wei Y, Nie Xin*, Jin L, Zhang C, Zhang C, Zhang Z, Investigation of sensitivity of shale elastic properties to rock components based on a digital core technology and finite element method. Arabian Journal of Geosciences, 2018, (11): 224, SCI检索 8. Nie Xin, Zhang C, Wang C, Nie S, Zhang J, Zhang C, Variable secondary porosity modeling of carbonate rocks based on μ-CT images. Open Geosciences, 2019, 11(1): 617-626, SCI检索 9. Nie Xin, Lu J, Djaroun RR, Wang P, Li J, Zhang C, Oil content prediction of lacustrine organic-rich shale from wireline logs: A case study of intersalt reservoirs in the Qianjiang Sag, Jianghan Basin, China. Interpretation, 2020, 8(3), SL78–SL88, SCI检索 10. Andhumoudine AB, Nie Xin*, Zhou QB, Yu J, Kane OI, Jin LD, Djaroun RR, Investigation of coal elastic properties based on digital core technology and finite element method. Advances in Geo-Energy Research, 2021, 5(1): 53-63, EI检索，中科院一区 11. Nie Xin, Wan Y, Gao D, Zhang CM, Zhang ZS, Evaluation of the in-place adsorbed gas content of organic-rich shales using wireline logging data: a new method and its application. Frontiers of Earth Science, 2021, 15: 301–309, SCI检索，中科院三区 12. Nie Xin, Lu J, Chi JY, Wang PL, Zhang CM, Oil Content Prediction Method Based on the TOC and Porosity of Organic-Rich Shales from Wireline Logs: A Case Study of Lacustrine Intersalt Shale Plays in Qianjiang Sag, Jianghan Basin, China. Geofluids, 2021, 9989866, SCI检索，中科院三区 13. Wang Z, Nie Xin*, Zhang C, Wang M, Zhao J, Jin L, Lithology classification and porosity estimation of tight gas reservoirs with well logs based on an equivalent multi-component model. Frontiers in Earth Science, 2022, 10: 850023, SCI检索，中科院三区 14. Yin SL, Feng KY, Nie Xin*, Chen Q, Liu Y, Wang PL. Characterization of marine shale in Western Hubei Province based on unmanned aerial vehicle oblique photographic data. Advances in Geo-Energy Research, 2022, 6(3): 252-263, EI检索，中科院一区 15. Li BK, Nie Xin*, Cai JC, Zhou XQ, Wang CC, Han DL. U-Net model for multi-component digital rock modeling of shales based on CT and QEMSCAN images. Journal of Petroleum Science and Engineering, 2022, 216: 110734. SCI 检索，中科院一区，ESI高被引论文 16. Li X., Li B., Liu F., Li T., Nie Xin*. Advances in the application of deep learning methods to digital rock technology. Advances in Geo-Energy Research, 2023, 8(1): 5-18. EI 检索，中科院一区 17. Sun P., Ge L., Liu Y., Li B., Nie Xin*, Modeling of multi-mineral-component digital core based on Res-Unet, Journal of Geophysics and Engineering, 2023, gxad024, SCI检索，中科院三区 18. Hou Y., Liu D., Zhao T., Zhou J., Tian L., Kou X., Zhu B., Nie Xin*. Numerical Simulation of Electrical Properties of Carbonate Reservoirs Using Digital Rocks. Processes 2023, 11, 2214, SCI检索，中科院三区 19. Zhou Y., Chang D., Zheng J., Zhu D., Nie Xin*. A Fast Workflow for Automatically Extracting the Apparent Attitude of Fractures in 3-D Digital Core Images. Processes 2023, 11, 2517, SCI检索，中科院三区 20. Zhou, Y., Zhong, X., Nie, Xin*. Identification and parameter characterization of pores and fractures in shales based on multi-scale digital core data. Advances in Geo-Energy Research, 2024, 13(2): 146-160. EI 检索，中科院一区 21. 聂昕，邹长春，肖昆，徐晋，牛一雄，孔广胜．汶川地震断裂带科学钻探WFSD-1孔成像测井岩心空间归位.地球物理学进展，2012,(01):75-82. 中文核心 22. 聂昕，邹长春，杨玉卿，肖昆，黄兆辉．测井技术在页岩气储层力学性质评价中的应用．工程地球物理学报，2012,(04):433-439. 23. 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. 天然气地球科学, 2016,27(4):706-715. 中文核心 24. 聂昕, 万宇, 邹长春, 张儒. 页岩气储层 w(TOC)测井评价方法对比研究. 石油天然气学报, 2016, 38(2):19-27.科技核心 25. 魏旸,张占松,黄雨阳,周新波,李权,聂昕*. 基于归一化核极限学习机的复杂岩性储层的岩性识别方法. 贵州师范大学学报(自然科学版),2017,(02):79-83. 中文核心 26. 崔帅飞, 张心罡, 罗建鸿, 王润涵, 聂昕*. 基于互相关的仿真算法(CCSIM)的页岩数字岩心重构. 石油天然气学报, 2019, 41(2): 8-13. 27. 王啟, 杨添微, 刘永震, 聂昕*, 张占松，万宇．基于随机森林算法的复杂碳酸盐岩岩性识别．工程地球物理学报，2020, 17(5): 550-558. 科技核心 28. 聂昕, 胡俊强, 万宇, 张超谟, 张占松, 基于马尔科夫链-蒙特卡洛法的碳酸盐岩三维数字岩心模型重构. 长江大学学报（自然科学版）, 2021, 18(2):28-35. 29. 李秉科, 聂昕*, 朱林奇, 王晨晨, 林伟, 韩登林, 基于梯度惩罚-生成对抗神经网络的页岩三维数字岩心重构. 西安石油大学学报（自然科学版）, 2023, 38(2):53-60. 中文核心 |
