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6篇 您的检索式:作者名="LiDeng"
    题名 作者 年代 出处 被引量
1Application of joint elastic impedance inversion in the GD Oilfield显示文摘为对 GD 油矿的复杂水库描述, P 波浪和 S 波浪有弹性的阻抗倒置被执行用预先叠精确地识别水库的岩性学的地震数据。联合倒置用三被执行或克服不能满足复杂水库描述的要求的栈以后的地震倒置的奇特并且避免倒置结果的不稳定性的更偏爱的栈在预先叠集合由低信号噪音比率引起了。prestack 橡皮阻抗倒置的基本理论简短在这篇论文被描述,用 GD 油矿的真实数据,钥匙角度集合小浪抽取,地平线刻度, S 波浪速度预言,和有弹性的参数抽取走被分析并且学习。从日志分析决定的多重有弹性的参数的全面解释是改进 prestack 的效果的关键地震倒置。Dai Xiaofeng Gan Lideng Du Wenhui Wang Ping 2006Applied Geophysics2006,3,1:11
2THE EFFECT OF IMU INACCURACIES ON AIRBORNE SAR IMAGING显示文摘When using motion compensation approaches based on the measurement of motion sensors, the residual uncompensated motion errors due to measurement instrument inaccuracies contribute to phase errors and hence degrade Synthetic Aperture Radar (SAR) images. This paper presents a model to compute the phase error caused by Inertial Measurement Unit (IMU) measurement inaccuracies. By analyzing SAR motion compensation method and the effect of lever arm, this model derives the con-tribution of each term of IMU inaccuracies towards the residual uncompensated motion errors and provides a method to calculate each order of the residual phase error. According to the model, com-puted results of the airborne X-band SAR system with POS AV510 accord closely with the actual image quality.Mao Yongfei Xiang Maosheng Wei Lideng Han Songtao 2011Journal of Electronics(China)2011,28,4:5
3Preparation and characterization of magnetic cationic liposorne in gene delivery显示文摘ZHENG Xiaoli LU Jianping ZHENG Lideng 2009Int J Pharmaceut2009,366,12:1
4Conversion of Levulinic Acid and Formic Acid into γ‐Valerolactone over Heterogeneous Catalysts显示文摘LiDeng YanZhao JiangLi YaoFu BingLiao Qing‐XiangGuo 2010ChemSusChem2010,,10:1
5Breakthrough and significance of technology on internal multiple recognition and suppression: A case study of Ordovician Dengying Formation in Central Sichuan Basin, SW China显示文摘Aimed at the serious mismatch between the synthetic seismogram and the real data of the Sinian Dengying Formation and the Lower Cambrian Qiongzhusi Formation in the GS1 well area, Sichuan Basin, four aspects of internal multiples identification and suppression were studied. Firstly, a forward modeling method of internal multiple based on reflectivity method was developed. Through eight means such as post-stack and pre-stack forward modeling of internal multiple, and combined with VSP data, it was demonstrated that well-seismic mismatching in this area is mainly caused by the internal multiples. Secondly, the simulation results of internal multiple forward modeling using the stripping method combined with the internal multiple periodicity analysis showed that four groups of overburden layers with velocity inversion were the main sources of the internal multiples. Thirdly, by identifying internal multiples accurately and using suppression technology based on pattern recognition, an effective and replicable suppression scheme suitable for these formations was established, overcoming the difficulty of the small speed difference between internal multiple and primary reflection wave which makes the current methods ineffective. Fourthly, an evaluation index of internal multiple intensity was proposed, and the internal multiple intensity distribution diagram of the fourth member of Dengying Formation(Deng-4 Member) in Gaoshiti-Moxi area was compiled. This scheme greatly improved the well-seismic match, and the strata sedimentary features are clearer on the new seismic profiles with higher lateral resolution, with which smaller faults and geological anomalies can be identified and a series of the bead reflections in the Dengying Formation are first discovered. The coincidence rate of reservoir prediction based on seismic waveform classification was increased from 60% to 90%, and that of hydrocarbon detection based on dual phase medium theory was increased from 70% to 100%.GAN Lideng XIAO Fusen DAI Xiaofeng YANG Hao XU Youping RAN Qi WEI Chao XIE Zhan'an ZHANG Xuan LIU Weidong ZHANG Ming SONG Jianyong LI YANDong 2018Petroleum Exploration and Development2018,45,6:0
6Identification of Low-level Faults in Dense Well Pattern by Joint Well-seismic Interpretation显示文摘Zhang Xin Gan Lideng Liu Wenling Jiang Yan 2012石油地球物理勘探2012,47,A02:0
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