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。