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教授名录
遇运良
来源: 发布日期:2017/12/30 点击量:

个人信息

姓名:遇运良           性别:男           民族:汉         出生年月:1980.04

最高学历:博士         职称:副教授         E-mail:

办公室:               电话:

教育经历

 

研究工作经历

 

 

主要研究领域

地质定量分析/地质建模与可视化

 

代表性科研工作

 

项目/课题名称

编号 负责人 起止时间 经费(万元) 类别

基于地质、重磁和大地电磁测深数据集成的青城子矿区侵入岩体三维地质建模

41502309

遇运良

2016.01-2018.12

21

自然科学基金

小波变换层序地层自动划分与对比

450060445177、

450060481554

2012-2014

5

青年教师基本科研经费

吉林大学博士科研启动基金

2

 

主要研究成果

英文:

[1]Yu Yunliang,The provenance analysis based on self-organizing neural network improved by immune algorithm,ICIC Express Letters, Part B: Applications,2011, v 2, n 5, p 1057-1062.

[2]Yu Yunliang,Method of the road lines Recognition in the Maps of Digital Material Based on Improvemented BP neural Network,Advances in Intelligent and Soft Computing,2011, v104, p113-117.

[3]Yu Yunliang,The Heavy Mineral analysis based on immune self-organizing neural network,Advances in Intelligent and Soft Computing,2011,v104, p 119-123.

[4]Yu Yunliang,The method of logging curves fusion based on multi-scale wavelet transform,Advanced Materials Research,2012, v340, p40-45.

[5]Yu Yunliang,The Method of Average Modulus Based on Wavelet Transform to Recognize the Sequence Stratigraphy Boundaries with Logging Curves,Key Engineering Materials,2012, v500,p14-17.

[6]Yu Yunliang,The method of Normalization Maximal Energy Spectrum for Sequence Stratigraphy Division,Advances in Future Computer and Control Systems,2012,v2(160):133-137.

.[7]Yu Yunliang,Application of Self-organizing Neural Network Method in Logging Sedimentary Microfacies Identification,Advanced Materials Research,2013, v2, p168-170.

中文:

 

[1]遇运良,松辽盆地梨树断陷油气富集规律,科技创新导报,2011(9):44-45。

[2]王欣,薛林福,遇运良,白烨,石玉江,张海涛,压实法石英砂岩成岩相识别及其应用,测井技术,2012,4:387-391。

[3]遇运良,十屋油气藏主控因素分析,世界地质,2012,31(1):134-138。

[4]遇运良,黄骅坳陷孔南地区孔二段原型盆地边界恢复,大庆石油地质与开发,2012,31(2):8-12。