研究领域

油田智能测试仪器开发与现代信息处理技术


地球物理测试理论及仪器响应数值模拟


模式识别与智能系统


机电系统控制与仿真

科研团队介绍及招生个性化需求

[1] 地下管线磁异常三层分量联合反演成像探测新方法研究 (负责人), 国家自然科学基金项目.


[2] 高精度自适应目标导向hp有限元随钻电测井响应数值模拟 (负责人), 国家自然科学基金项目.


[3] 井下高速电缆传输系统研制 (负责人), 国家重大科研装备研制项目子课题.


[4] 储气库优化运行节能技术研究及系统开发 (负责人).


[5] 热示踪相关流量计实验样机系统开发 (负责人).


[6] 井—地电位数值模拟与仪器参数优化设计 (负责人).


[7] 探地雷达式管线探测仪的研制 (负责人).


[8] 基于PDA井场数据远传与发布系统研制 (负责人).


[9] 基于支持向量机的低阻油气层识别方法研究 (负责人).

代表性研究成果

[1] Shuo Feng, Dejun Liu, Xing Cheng, Huafeng Fang, Caifang Li. A new segmentation strategy for processing magnetic anomaly detection data of shallow depth ferromagnetic pipeline. Journal of Applied Geophysics, 2017, 139: 65-72. (SCI, EI检索).


[2] Qi Pan, Dejun Liu, Shuo Feng, Muqun Feng and Huafeng Fang. Euler deconvolution of the analytic signals of the gravity gradient tensor for the horizontal pipeline of finite length by horizontal cylinder calculation. Journal of Geophysics and Engineering, 2017, 14(2): 316-330. (SCI检索).


[3] Qi Pan, De-Jun Liu, Zhi-Yong Guo, Hua-Feng Fang and Mu-Qun Feng. Magnetic anomaly inversion using magnetic dipole reconstruction based on the pipeline section segmentation method. Journal of Geophysics and Engineering, 2016, 13(3): 242-258. (SCI检索).


[4] Zhi-Yong Guo, De-Jun Liu, Qi Pan, Ying-Ying Zhang. Forward modeling of total magnetic anomaly over a pseudo-2D underground ferromagnetic pipeline. Journal of Applied Geophysics, 2015, 113: 14-30. (SCI, EI检索).


[5] Zhiyong Guo, Dejun Liu, Qi Pan, Yingying Zhang, Yi Li and Zheng Wang. Vertical magnetic field and its analytic signal applicability in oil field underground pipeline detection. Journal of Geophysics and Engineering, 2015, 12(3): 340-350. (SCI检索).


[6] Ying-Ying Zhang, De-Jun Liu, Li-Yang Wang, Qing-Hui Ai and Min-Jun Qin. Numerical studies of imaging subsurface waterfloods using CSERT with time-lapse inversion. Journal of Geophysics and Engineering, 2015, 12(6): 946-955. (SCI 检索).


[7] Dejun LIU, Hui LI, Yingying ZHANG, Gengxue ZHU, and Qinghui AI. A study on directional resistivity logging-while-drilling based on self-adaptive hp-FEM. Acta Geophysica, 2014, 62(6): 1328-1351. (SCI, EI检索).


[8] Ying-Ying Zhang, De-Jun Liu, Qing-Hui Ai , Min-Jun Qin. 3D modeling