科研成果

2023-2024年实验室发表论文

发布时间:2023-02-11浏览次数:1819

[1] Ji,L.&Z.Zong,2023.Lithology discrimination based on direct inversion of Poisson impedance for deep tight-sandstone reservoirs: 

Journal of Geophysics and Engineering, 20(1), 38-48.doi:10.1093/jge/gxac092

[2]Jia, W., Z. Zong, H. Sun, and T. Lan, 2023, Seismic response analysis and distribution prediction of source rocks in a survey of the South China Sea: 

Interpretation, 11, no. 2, 1-51.https://doi.org/10.1190/int-2022-0072.1

[3] Y. Wang, Z. Zong and Q. Sun, Modeling the Effect of Multi-scale Heterogeneities on Wave Attenuation and Velocity Dispersion, in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3244654. 

[4] Zhang J, Zong Z, Luo K,2023,Estimation of pore pressure considering hydrocarbon generation pressurization using Bayesian inversion;

Interpretation. 11(2): 1-45.https://doi.org/10.1190/int-2022-0082.1

[5] W. Yang, Z. Zong, Q. Sun, Z. Yang and X. Yan,2023, Multiple elastic attribute fusion approach based on affinity propagation clustering strategy for gas hydrate reservoir identification: 

Marine Geophysical Research, 44(5). https://doi.org/10.1007/s11001-023-09511-6

[6]  C. Luo, Z. Zong, 2023, The Synchroextracting Algorithm Based on W Transform and its Application in Channel Characterization: IEEE Geoscience and Remote Sensing Letters, 20, 1-5, doi: 10.1109/LGRS.2023.3262637.

[7] Z. Zong, T. Fu and X. Yin, 2023, High-Dimensional Generalized Orthogonal Matching Pursuit With Singular Value Decomposition: IEEE Geoscience and Remote Sensing Letters, 20, 1-5, doi: 10.1109/LGRS.2023.3264623.

[8] Z. Ma, X. Yin, Z. Zong, et al.,2023,Sequential Bayesian Seismic Inversion for fracture parameters and fluid indicator in tilted transversely isotropic medium. Geophysics, 2023, 3.

[9] Z.Ma, X.Yin, K.Li, et al.,2023,Fracture detection, fluid identification and brittleness evaluation in the gasbearing reservoir with tilted transverse isotropy via azimuthal Fourier coefficients. 

Journal of Natural Gas Science and Engineering, 111: 204910.

[10] Yu, S., Z. Zong, X. Yin, K. Lang, and F. Chen, 2023, Rock physics and seismic reflectivity parameterization and amplitude variation with offsets inversion in terms of total organic carbon 

indicator: Petroleum Science. http://dx.doi.org/https://doi.org/10.1016/j.petsci.2023.02.012.

[11] Luo,K., Z.Zong,and L.Ji,2023,Fisher-Bayesian inversion for estimating shale gas facies:GEOPHYSICS.https://doi.org/10.1190/geo2022-0315.1

[12] Si Wu and Zhaoyun Zong, 2023,Seismic prestack inversion for physical and anisotropic parameters in fractured shale reservoirs: 

Journal of Geophysics and Engineering, 20(2), 274-296. doi: 10.1093/ige/gxad009

[13] Zuo, Y., Z. Zong, K. Li, Q. Sun, and Y. Yang, 2023, Direct inversion for shale brittleness index using DRAM-MCMC method: Geophysics, 88(5), 1-83, doi: 10.1190/geo2022-0567.1.

[14] Ji, L., Z. Zong, and K. Luo, 2023, Amplitude variation with incidence and azimuth stepwise inversion with coherence-attribute constraints for anisotropic parameters: Interpretation, 11(3), T475-T487. doi: 10.1190/int-2022-0106.1.[15] Song L, Yin X, Yin L. Reservoir Lithology Identification Based on Improved Adversarial Learning[J]. IEEE Geoscience and Remote Sensing Letters, 2023

[16] Chen F. B., Zong Z. Y., Yin X. Y., Yang Z. F. and Yan X. F., 2023, Pressure and frequency dependence of elastic moduli of fluid-saturated dual-porosity rocks: Geophysical Prospecting, https://doi.org/10.1111/1365-2478.13395

[][17]Lan, T., Zong, Z. and Jia, W., 2023, Fluid identification by nonlinear frequency-dependent amplitude variation with 

offset inversion based on scattering theory: Geophysical Prospecting, https://doi.org/10.1111/1365-2478.13399

[18]Yang, W., Zong, Z., 2023, Rock-physics model of hydrate reservoirs considering fluid inhomogeneous mixing, 

the temperature dependence of hydrate elastic modulus, and simplified pore structure parameters: Journal of Applied Geophysics, 

216. doi:10.1016/j.jappgeo.2023.105157.

[19] Lang K, Yin X, Zong Z, et al,2023, Anisotropic Nonlinear inversion based on a novel PP wave reflection coefficient for VTI media:IEEE Transactions on Geoscience and Remote Sensing,61, 1-13, doi.  10.1109/TGRS.2023.3295800

[20] 陈阜斌, 宗兆云, 印兴耀, Stovas Alexey, 2023, 饱和多孔层状介质弹性波衰减频散的应力依赖性研究: 中国科学: 地球科学, https://doi.org/10.1360/SSTe-2022-0389.

[21] T. Lan, Z. Zong and W. Jia, 2023, Reservoir hydrocarbon identification method based on pre-stack seismic frequency-dependent anisotropic inversion: IEEE Transactions on Geoscience and Remote Sensing, 61, 1-13, doi: 10.1109/TGRS.2023.3302292.

[22] Jia, W., Zong, Z., Qin, D., and Lan, T., 2023, A method for predicting the TOC in source rocks using a machine learning based joint analysis of seismic 

multiattributes: Journal of Applied Geophysics, v. 216, p. 105143. http://dx.doi.org/https://doi.org/10.1016/j.jappgeo.2023.105143.

[23] Jia, W., Zong, Z., Qin, D., and Lan, T., 2023, Integrated welllog data and seismic inversion results for prediction of hydrocarbon source rock distribution

 in W segment, Pearl River Mouth Basin, China: Geoenergy Science and Engineering, v. 230, p. 212233.https://doi.org/10.1016/j.geoen.2023.212233

[24] Chen, X., Z. Zong,  Y. Zeng and Y. Yang, 2023, Broadband Nonlinear Elastic Impedance Inversion Based on Modified Convolution Model: IEEE Transactions on Geoscience and Remote Sensing, 61, 5917913, doi: 10.1109/TGRS.2023.3311798

[25]Sun Qianhao, Zong Zhaoyun. AVO inversion for low-frequency component of the model parameters based on dual-channel convolutional network. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-14.

[26]Fan Z, Zong Z, Chen F, 2023, Accurate P-wave reflection and transmission coefficients for non-welded interface incorporating elasto-plastic deformation: Ann. Geophys, 66(3-4), 322 https://doi.org/10.4401/ag-8909

[27]Wang C, Zong Z,Yin X and Li K,2024, Seismic resolution enhancement with variational modal based fast matching pursuit decomposition, Interpretation.12(1): 1-37.https://doi.org/10.1190/int-2023-0002.1

[28]Lian, X., Zong, Z., Li, X., Yang, W., Zhang, J., 2024. Rockphysics modeling of deep clastic reservoirs considering the relationship between microscopic pore structure and permeability. 

Journal of Applied Geophysics 220, 105270. doi:10.1016/j.jappgeo.2023.105270

[29]Sun Qianhao, Zong Zhaoyun,Xin Li. Probabilistic seismic inversion based on physics-guided deep mixture density network. Petroleum Science,

 https://doi.org/10.1016/j.petsci.2023.12.015. 

[30]Yang Wenqiang, Zong Zhaoyun, Sun Qianhao. Simultaneous prediction of geofluid and permeability of reservoirs in prestack seismic inversion. Geophysics, https://doi.org/10.1190/geo2023-0218.1

[31]Lan, T., Z. Zong, and W. Jia, 2024, Seismic nonlinear frequency-dependent inversion for viscoelastic media based on a modified scattering coefficient approximation: Journal of Applied Geophysics, 222, 105304. doi: 10.1016/j.jappgeo.2024.105304.

[32]Feng Y, Zong Z, Zhang G, et al, 2024, PP-Wave Reflection Coefficient Equation for HTI Media Incorporating Squirt Flow Effect and Frequency-Dependent Azimuthal AVO Inversion for Anisotropic Fluid Indicator [J]. IEEE Transactions on Geoscience and Remote Sensing,  62: 1-12.

[33]Chen Fubin, Zong Zhaoyun, Reza Rezaee, Yin Xingyao, 2024, Pressure Effects on Plane Wave Reflection and Transmission in Fluid2 Saturated Porous Media: Surveys in Geophysics, 10.1007/s10712-024-09829-9.

[34]Zhou H, Zong Z, Yang Y, et al, 2024, In situ stress prediction method for decoupled overburden pressure under tectonic constraints[J], Journal of Geophysics and Engineering, 21(2): 738–757.https://doi.org/10.1093/jge/gxae029.

[35]Song, Lei, xingyao Yin, Ran Zhang, Shuangshuang Zhou, Wei xiang, and Zhan Wang. Multi-azimuth seismic coherence fusion based on the azimuth focus detection. IEEE Geoscience and Remote Sensing Letters (2024).

[36]Song, Lei, xingyao Yin, Ran Zhang, jinpeng Li, Jiale Zhang, and Jiayun Li. Reservoir discrimination based on physic-informed semi-supervised learning. IEEE Transactions on Geoscience and Remote Sensing (2024).

[37]Chen, X., Z. Zong,  D. Qin and Y. Chen, 2024, Enhanced estimation of fluid modulus and porosity via novel nonlinear elastic impedance inversion: IEEE Transactions on Geoscience and Remote Sensing, 62,  doi: 10.1109/TGRS.2024.3415383.

[38]Chen Fubin, Zong Zhaoyun, Yin Xingyao, 2024, Seismic scattering inversion for multiple parameters of overburden-stressed isotropic media. Geophysics, 89(6), doi:10.1190/geo2023-0636.1.

[39]Chen Fubin, Zong Zhaoyun, Yin Xingyao, 2024, Rock elasticity and crack property descriptions using an improved acoustoelasticity model with nonlinear stress-strain relationship. Geoenergy Science and Engineering, 241, 213211. doi:10.1016/j.geoen.2024.213211.

[40]Zong Zhaoyun, Chen Fubin, Reza Rezaee, Théo Le Gallais, 2024, Analytic solutions for effective elastic moduli of isotropic solids containing oblate spheroid pores with critical porosity.Geophysical Prospecting, doi:10.1111/1365-2478.13608.

[41]Zheng X ,Zong Z ,Wang M . Prediction of calcareous sandstone based on simultaneous broadband nonlinear inversion of Young's modulus, Poisson's ratio and S-wave modulus [J]. Journal of Applied Geophysics, 2024, 229 105477-105477.https://doi.org/10.1016/j.jappgeo.2024.105477

[42]Kun Luo, Zhaoyun Zong, Xingyao Yin, Lixiang Ji, and Yaming Yang, (2024), 'Shale anisotropic rock-physics model incorporating the effect of compaction and nonplate mixtures on clay preferred orientation,' GEOPHYSICS 89: MR309-MR323.https://doi.org/10.1190/geo2023-0591.1  

[43]Z. Zong, T. Lan, W. Jia, X. Zhu and F. Chen, 'Reservoir Fluid Identification Method Incorporating Squirt Flow and Frequency-Dependent Azimuthal Anisotropic Inversion,' in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-11, 2024, Art no. 5924711, doi: 10.1109/TGRS.2024.3444476.  

[44]Z. Zong, J. Zhang and F. Chen, 'Seismic Prediction for Formation Pressure Considering Diagenesis Effect,' in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-13, 2024, Art no. 4508813, doi: 10.1109/TGRS.2024.3428616

[45]Yang, W., Zong, Z., Liu, X.,Qin, D. and Liu, Q. Novel brittleness indexconstruction and prestack seismic prediction for gashydrate reservoirsin Geophysical Prospecting, 1–17,2024.https://doi.org/10.1111/1365-2478.13628

[46]Chen Fubin, Zong Zhaoyun, Kun Lang, Li Jiayun, Yin Xingyao, Miao Zhiwei, Xiao Wei, 2024, Geofluid discrimination in stress-induced anisotropic porous reservoirs using seismic AVAZ inversion. IEEE Transactions on Geoscience and Remote Sensing, 1-14. doi:10.1109/TGRS.2024.3477943

[47]Zong Z,Wang C,andLuo C,2024,Quantification of nonlinear effect in seismic signal usingHolo-Hilbert spectral analysis,Interpretation.13(1): 1-55.https://doi.org/10.1190/int-2023-0063.1

[48]Chen Fubin, Zong Zhaoyun, Yin Xingyao, Li Jiayun, Kun Lang, Zhengqian Ma, Xiaojian Zhu, 2024, Anisotropy parameters estimation in stress-induced orthorhombic reservoirs based on step-wise Bayesian inversion of azimuthal seismic data. IEEE Transactions on Geoscience and Remote Sensing, 62, 5933512.

[49]Zheng, X., and Z. Zong, 2024, Frequency-dependent nonlinear AVO inversion for fluid mobility in viscoelastic media: Geophysics, 1-86.

[50]Zuo, Y., Z. Zong, K. Li, and K. Luo, 2024, Bayesian AVOAz inversion of fluid and anisotropy parameters using Gibbs sampling with AISM algorithm: IEEE Transactions on Geoscience and Remote Sensing, 62, 1-15, doi: 10.1109/TGRS.2024.3484435.

[51]Chen Fubin, Zong Zhaoyun, Yin Xingyao, 2024, A squirt-flow model in isotropic porous rocks containing wedge-shaped cracks and its interpretation for laboratory measurements. Geophysics, 90(2), doi: 10.1190/geo2024-0292.1