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| 1 | Research on seismic fluid identification driven by rock physics显示文摘Seismic fluid identification works as an effective approach to characterize the fluid feature and distribution of the reservoir underground with seismic data. Rock physics which builds bridge between the elastic parameters and reservoir parameters sets the foundation of seismic fluid identification, which is also a hot topic on the study of quantitative characterization of oil/gas reservoirs. Study on seismic fluid identification driven by rock physics has proved to be rewarding in recognizing the fluid feature and distributed regularity of the oil/gas reservoirs. This paper summarizes the key scientific problems immersed in seismic fluid identification, and emphatically reviews the main progress of seismic fluid identification driven by rock physics domestic and overseas, as well as discusses the opportunities, challenges and future research direction related to seismic fluid identification. Theoretical study and practical application indicate that we should incorporate rock physics, numerical simulation, seismic data processing and seismic inversion together to enhance the precision of seismic fluid identification. | YIN XingYao ZONG ZhaoYun WU GuoChen | 2015 | Science China Earth Sciences2015，58，2： | 49 |
| 2 | Seismic wave scattering inversion for fluid factor of heterogeneous media显示文摘Elastic wave inverse scattering theory plays an important role in parameters estimation of heterogeneous media.Combining inverse scattering theory,perturbation theory and stationary phase approximation,we derive the P-wave seismic scattering coefficient equation in terms of fluid factor,shear modulus and density of background homogeneous media and perturbation media.With this equation as forward solver,a pre-stack seismic Bayesian inversion method is proposed to estimate the fluid factor of heterogeneous media.In this method,Cauchy distribution is utilized to the ratios of fluid factors,shear moduli and densities of perturbation media and background homogeneous media,respectively.Gaussian distribution is utilized to the likelihood function.The introduction of constraints from initial smooth models enhances the stability of the estimation of model parameters.Model test and real data example demonstrate that the proposed method is able to estimate the fluid factor of heterogeneous media from pre-stack seismic data directly and reasonably. | YIN XingYao ZONG ZhaoYun WU GuoChen | 2014 | Science China Earth Sciences2014，57，3： | 12 |
| 3 | Improving seismic interpretation: a high-contrast approximation to the reflection coefficient of a plane longitudinal wave显示文摘Linearized approximations of reflection and transmission coefficients set a foundation for amplitude versus offset(AVO) analysis and inversion in exploration geophysics.However,the weak properties contrast hypothesis of those linearized approximate equations leads to big errors when the two media across the interface vary dramatically.To extend the application of AVO analysis and inversion to high contrast between the properties of the two layers,we derive a novel nonlinearized high-contrast approximation of the PP-wave reflection coefficient,which establishes the direct relationship between PPwave reflection coefficient and P-wave velocities,S-wave velocities and densities across the interface.(A PP wave is a reflected compressional wave from an incident compressional wave(P-wave).) This novel approximation is derived from the exact reflection coefficient equation with Taylor expansion for the incident angle.Model tests demonstrate that,compared with the reflection coefficients of the linearized approximations,the reflection coefficients of the novel nonlinearized approximate equation agree with those of the exact PP equation better for a high contrast interface with a moderate incident angle.Furthermore,we introduce a nonlinear direct inversion method utilizing the novel reflection coefficient equation as forward solver,to implement the direct inversion for the six parameters including P-wave velocities,S-wave velocities,and densities in the upper and lower layers across the interface.This nonlinear inversion algorithm is able to estimate the inverse of the nonlinear function in terms of model parameters directly rather than in a conventional optimization way.Three examples verified the feasibility and suitability of this novel approximation for a high contrast interface,and we still could estimate the six parameters across the interface reasonably when the parameters in both media across the interface vary about 50%. | Yin Xingyao Zong Zhaoyun Wu Guochen | 2013 | Petroleum Science2013，10，4： | 12 |
| 4 | First-order perturbation approximation for rock elastic moduli in transversely isotropic media显示文摘Seismic anisotropy is a relatively common seismic wave phenomenon in laminated sedimentary rocks such as shale and it can be used to investigate mechanical properties of such rocks and other geological materials. Young's modulus and Poisson's ratio are the most common mechanical properties determined in various rock engineering practices. Approximate and explicit equations are proposed for determining Young's modulus and Poisson's ratio in anisotropic rocks, in which the symmetry plane and symmetry axis of the anisotropy are derived from the constitutive equation of transversely isotropic rock. These equations are based on the media decomposition principle and seismic wave perturbation theory and their accuracy is tested on two sets of laboratory data. A strong correlation is found for Young's modulus in two principal directions and for Poisson's ratio along the symmetry plane. Further, there is an underprediction of Poisson's ratio along the symmetry axis, although the overall behavior follows the trend of the measured data. Tests on a real dataset show that it is necessary to account for anisotropy when characterizing rock mechanical properties of shale. The approximate equations can effectively estimate anisotropic Young's modulus and Poisson's ratio, both of which are critical rock mechanical data input for hydraulic fracturing engineering. | WU GuoChen ZHAO XiaoLong TANG Jie DU ZeYuan | 2017 | Science China Earth Sciences2017，60，9： | 6 |
| 5 | Sorption of humic acid to organo layered double hydroxides in aqueous solution 显示文摘 | Zhang Guochen Wu Tao Li Yujiang | 2012 | Chemical Engineering Journal2012，191，： | 1 |
| 6 | Blending several implicit algebraic surface with ruled surface显示文摘 | FENG Guochen WU Tieru YU Kai | 2003 | AMS/IP Studies in Advanced Mathematics2003，34，： | 1 |
| 7 | Role of depressive symptoms in cardiometabolic diseases and subsequent transitions to all-cause mortality:an application of multistate models in a prospective cohort study显示文摘Background and purpose The role of depression in the development and outcome of cardiometabolic diseases remains to be clarified.We aimed to examine the extent to which depressive symptoms affect the transitions from healthy to diabetes,stroke,heart disease and subsequent all-cause mortality in a middle-aged and elderly European population.Methods A total of 78212 individuals aged≥50 years from the Survey of Health Ageing and Retirement in Europe were included.Participants with any baseline cardiometabolic diseases including diabetes,stroke and heart disease were excluded.Depressive symptoms were measured by the Euro-Depression scale at baseline.Participants were followed up to determine the occurrence of cardiometabolic diseases and all-cause mortality.We used multistate models to estimate the transition-specific HRs and 95%CIs after adjustment of confounders.Results During 500711 person-years of follow-up,4742 participants developed diabetes,2173 had stroke,5487 developed heart disease and 7182 died.Depressive symptoms were significantly associated with transitions from healthy to diabetes(HR:1.12,95%CI:1.05 to 1.20),stroke(HR:1.31,95%CI:1.18 to 1.44),heart disease(HR:1.26,95%CI:1.18 to 1.34)and all-cause mortality(HR:1.41,95%CI:1.34 to 1.49).After cardiometabolic diseases,depressive symptoms were associated with the increased risk of all-cause mortality in patients with diabetes(HR:1.54,95%CI:1.25 to 1.89),patients who had stroke(HR:1.29,95%CI:1.03 to 1.61)and patients with heart disease(HR:1.21,95%CI:1.02 to 1.44).Conclusions Depressive symptoms increase the risk of diabetes,stroke and heart disease,and affect the risk of mortality after the onset of these cardiometabolic conditions.Screening and treatment of depressive symptoms may have profound implications for the prevention and prognosis of cardiometabolic diseases. | Yanan Qiao Siyuan Liu Guochen Li Yanqiang Lu Ying Wu Yi Ding Chaofu Ke | 2021 | Stroke & Vascular Neurology2021，6，4： | 1 |
| 8 | Blending Several Implicit Algebraic Surfaces With Ruled Surfaces显示文摘 | Guochen Feng Tieru Wu Kai Yu | 2003 | AMS/IP Studies in Advanced Mathematics2003，34，： | 1 |
| 9 | Sorption of humic acid to organo layered double hydroxides in aqueous solution 显示文摘 | Guochen Zhang Tao Wu Yujiang Li | 2012 | Chemical Engineering Journal2012，191，： | 1 |
| 10 | Finite-difference modeling with variable grid-size and adaptive time-step in porous media显示文摘Forward modeling of elastic wave propagation in porous media has great importance for understanding and interpreting the influences of rock properties on characteristics of seismic wavefield. However,the finite-difference forward-modeling method is usually implemented with global spatial grid-size and time-step; it consumes large amounts of computational cost when small-scaled oil/gas-bearing structures or large velocity-contrast exist underground. To overcome this handicap,combined with variable grid-size and time-step,this paper developed a staggered-grid finite-difference scheme for elastic wave modeling in porous media. Variable finite-difference coefficients and wavefield interpolation were used to realize the transition of wave propagation between regions of different grid-size. The accuracy and efficiency of the algorithm were shown by numerical examples. The proposed method is advanced with low computational cost in elastic wave simulation for heterogeneous oil/gas reservoirs. | Xinxin Liu Xingyao Yin Guochen Wu | 2014 | Earthquake Science2014，27，2： | 0 |
| 11 | Application of Morphological Component Analysis in Seismic Data Reconstruction显示文摘 | Li Haishan Wu Guochen Yin Xingyao | 2012 | 石油地球物理勘探2012，47，A02： | 0 |
| 12 | Smartphone-based rapid and visual pathological diagnosis of glioma using perovskite probes显示文摘Histopathology plays a great role in diagnosing various diseases,which is considered as a golden standard for tumor identification.The tissue constituents must be stained by visible labels for microscopic analysis by medical experts.However,this process is time-consuming,labor-intensive,and expensive,which requires rapid pathological approaches for diagnosis in the operating room.Here,we present an easy-to-process and high-performance perovskite biological probes for rapid and visual pathological diagnosis of glioma.Perovskite quantum dots can be encapsulated by the copolymer into nanocrystals(PNCs)with a diameter of 100 nm,which is modified with chlorotoxin to achieve the specific recognition of glioma.Benefiting from the super photoluminescence quantum yield(above 93%)of EVA@PNCs aqueous solution,the glioma can be clearly imaged and captured via a smartphone under the excitation of a handheld UV lamp.To demonstrate the visualization and efficiency of PNC probes,different malignant grades of brain tumor sections can be distinguished in no more than 5 min.This strategy provides a general auxiliary diagnosis platform for achieving the histopathology analysis near the operating bed,which is currently not feasible with standard histochemical staining methods. | Dongdong Wu Jimei Chi Junzhen Fan Lijun Cheng Xuning Wang Xu Yang Meng Zhang Zewei Lian Zengqi Huang Huadong Wang Hongfei Xie Sisi Chen Qi Pan Zeying Zhang Bingda Chen Guochen Sun Bainan Xu Meng Su Yanlin Song | 2023 | InfoMat2023，5，11： | 0 |
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