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| 1 | AVO inversion based on common shot migration显示文摘常规 AVO 倒置利用 CMP 集合的踪迹振幅。有三个主要因素,影响倒置的精确性。首先, CMP 集合基于水平层的假设,但是很真实的层不是水平的。处于观察 CMP 集合和他们的真实地点之间的更大的差别的更大的层剧降结果。第二,象 NMO, DMO,和 deconvolution 那样的常规处理流动将弄歪振幅。第三,思考系数的明确的表达与发生角度有关,得到在振幅和发生角度之间的关系是困难的。波浪方程 prestack 深度移植有成像建筑群媒介和陡峭地蘸的层的能力。它能减少回到他们的真实地点的常规处理和行动振幅的错误。与真振幅移植,普通角度集合抽象,和 AVO 倒置,我们从普通射击集合建议 AVO 倒置的一个方法以便减少上述因素的效果并且改进 AVO 倒置的精确性。 | Shou Hao Liu Hong Gao Jianhu | 2006 | Applied Geophysics2006，3，2： | 16 |
| 2 | Seismic inversion for underground fractures detection based on effective anisotropy and fluid substitution显示文摘Underground fractures play an important role in the storage and movement of hydrocarbon fluid. Fracture rock physics has been the useful bridge between fracture parameters and seismic response. In this paper, we aim to use seismic data to predict subsurface fractures based on rock physics. We begin with the construction of fracture rock physics model. Using the model, we may estimate P-wave velocity, S-wave velocity and fracture rock physics parameters. Then we derive a new approximate formula for the analysis of the relationship between fracture rock physics parameters and seismic response, and we also propose the method which uses seismic data to invert the elastic and rock physics parameters of fractured rock. We end with the method verification, which includes using well-logging data to confirm the reliability of fracture rock physics effective model and utilizing real seismic data to validate the applicability of the inversion method. Tests show that the fracture rock physics effective model may be used to estimate velocities and fracture rock physics parameters reliably, and the inversion method is resultful even when the seismic data is added with random noise. Real data test also indicates the inversion method can be applied into the estimation of the elastic and fracture weaknesses parameters in the target area. | CHEN HuaiZhen YIN XingYao GAO JianHu LIU BingYang ZHANG GuangZhi | 2015 | Science China Earth Sciences2015，58，5： | 10 |
| 3 | Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles显示文摘 | Yankun Peng Jing Zhang Wei Wang Yongyu Li Jianhu Wu Hui Huang Xiaodong Gao Weikang Jiang | 2010 | Journal of Food Engineering2010，，2： | 1 |
| 4 | Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles显示文摘 | Yankun Peng Jing Zhang Wei Wang Yongyu Li Jianhu Wu Hui Huang Xiaodong Gao Weikang Jiang | 2010 | Journal of Food Engineering2010，，2： | 1 |
| 5 | Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles显示文摘 | Yankun Peng Jing Zhang Wei Wang Yongyu Li Jianhu Wu Hui Huang Xiaodong Gao Weikang Jiang | 2010 | Journal of Food Engineering2010，，2： | 1 |
| 6 | Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles显示文摘 | Yankun Peng Jing Zhang Wei Wang Yongyu Li Jianhu Wu Hui Huang Xiaodong Gao Weikang Jiang | 2010 | Journal of Food Engineering2010，，2： | 1 |
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