一、代表性论文（第一作者或通讯作者） ① 致密气岩石物理与测井评价领域 1.基于测井曲线重构的致密砂岩储层裂缝识别,西安石油大学学报(自然科学版), 2022,37(5):10-20. 2. A saturation evaluation method in tight gas sandstones based on diagenetic facies. MARINE AND PETROLEUM GEOLOGY, 2019, 107:310-325. (SCI) 3. A fractal irreducible water saturation model for capillary tubes and its application in tight gas reservoir[J]. Journal of Petroleum Science & Engineering, 2017, 159:731-739. (SCI) 4. An improved method for predicting permeability by combining electrical measurements and mercury injection capillary pressure data[J]. Journal of Geophysics & Engineering, 2017, 14(1): 132-142. (SCI) 5.鄂尔多斯盆地某地区石盒子组低渗透天然气储层产能测井预测[J]. 天然气地球科学, 2016, 27(12):2216-2222. 6.基于单元体模型的核磁共振测井渗透率评价方法[J]. 石油钻探技术 ,2016, 44(04):120-126. 7.低渗透砂砾岩储层饱和度测井评价方法及其应用——以王府断陷小城子地区登娄库组储层为例[J]. 西安石油大学学报(自然科学版), 2016, 31(02):11-17 8.致密气储层岩心束缚水饱和度实验对比[J]. 天然气地球科学, 2016, 27(02):352-358. 9.利用压汞资料预测储层地层因素F的改进方法[J]. 中国矿业大学学报, 2016, 45(04):747-753. ② 页岩气岩石物理与测井评价领域 1.An Improved Theoretical Nonelectric Water Saturation Method for Organic Shale Reservoirs. IEEE ACCESS, 2019,7: 51441-51456 2. Calculating the Total Porosity of Shale Reservoirs by Combining Conventional Logging and Elemental Logging to Eliminate the Effects of Gas Saturation[J]. Petrophysics, 2018, 59(2):162-184. 3.基于元素俘获测井的页岩脆性评价方法及应用[J]. 矿物岩石地球化学通报, 2017, 36(6): 1040-1047. 4. 考虑有机质校正的页岩气储层总孔隙度测井评价方法[J]．煤炭学报, 2017, 42(6):1527- 1534. ③ 低对比度砂岩、碳酸盐岩岩石物理与测井评价领域 1. Reconstruction of LWD-NMR T2 water spectrum and fluid recognition based on microscopic pore structure constraints[J]. Geoenergy Science and Engineering, 2023, 221: 211386. 2.融合随钻核磁共振与机器学习的疏松砂岩储层孔隙结构评价新方法[J].西安石油大学学报(自然科学版),2023,38(05):20-28. 3.随钻核磁共振测井横向弛豫时间截止值计算方法与应用[J].亚星管理网平台学报(自然科学版),2023,20(01):21-29. 4.An improved method in petrophysical rock typing based on mercury-injection capillary pressure data. ENERGY SOURCES, PART A: RECOVERY, UTILIZATION, AND ENVIRONMENTAL EFFECTS, 2020. 5. Pore structure classification and logging evaluation method for carbonate reservoirs: A case study from an oilfield in the Middle East. ENERGY SOURCES PART A, 2019,41(14):1701-1715. 6. 基于Thomeer函数的中东区块碳酸盐盐储层渗透率评价, 亚星管理网平台学报（自然科学版）, 2021, 18(1): 43-51. ④ 机器学习在测井储层评价方面的应用领域 1.Petrographic recognition and classification of bioclastic carbonate thin sections based on attention mechanism[J]. Geoenergy Science and Engineering, 225(2023)211712. 2.基于多聚类中心的加权聚类铸体薄片图像分割方法[J].矿物岩石地球化学通报,2023,42(04):882-889. 3.基于长短期记忆循环神经网络的伊拉克 H 油田 碳酸盐岩储层渗透率测井评价, 大庆石油地质与开发, 2022, 41(1):126-133. 4.混合模拟退火遗传和随机森林构建复杂碳酸盐岩储层渗透率测井解释模型, 油气地质与采收率,2022, 29(1):53-61. 5.A new and reliable dual model- and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi-supervised deep learning. Journal of Petroleum Science and Engineering 188 (2020) 106944. 6.Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semi supervised learning. APPLIED SOFT COMPUTING, 2019, UNSP 105596. 7.Application of Multiboost-KELM algorithm to alleviate the collinearity of log curves for evaluating the abundance of organic matter in marine mud shale reservoirs: a case study in Sichuan Basin, China [J]. ACTA GEOPHYSICA, 2018, 66(5):983-1000. 86.Prediction of Total Organic Carbon Content in shale reservoir Based on a New Integrated Hybrid Neural Network and Conventional Well Logging Curves[J]. Journal of Geophysics & Engineering, 2018, 15(3). 1050-1061. 9.谱聚类-Adaboost集成数据挖掘算法在岩性识别中的应用[J]. 中国科技论文, 2016,11(05):545-550. 二、专利及软件著作权 1.张冲，张亚男.一种基于铸体薄片构建储层岩石毛管压力曲线的方法，中国发明专利，2022年，ZL202010372508.4. 2.张冲,汤潇.基于压汞毛管压力曲线（MICP）的Thomeer参数提取软件,软件著作权,2019年, 2019SR0478216. 3.张冲,张亚男.薄片孔隙特征参数自动拾取软件,软件著作权,2021年, 2021SR0376933. 4.张冲,张亚男.基于概率神经网络的测井储层分类软件,软件著作权,2021年,2021SR0376940. 三、获奖 2020年，致密气储层岩石物理与测井评价方法、技术与应用，湖北省科技进步三等奖。 |
