[1] 刘晓晶, 印兴耀, 吴国忱, 宗兆云. 基于基追踪弹性阻抗反演的深部储层流体识别方法[J]. 地球物理学报, 2016, 59(1): 277-286
[2] 印兴耀, 刘晓晶, 吴国忱, 宗兆云. 模型约束基追踪反演方法[J]. 石油物探, 2016, 55(1): 115-122.
[3] 印兴耀, 邓炜, 宗兆云 .2016.基于逆算子估计的AVO反演方法研究[J]. 地球物理学报,59(4): 1457-1468.
[4],,,AVO inversion based on inverse operator estimation in trust region,Journal of Geophysics and Engineering,2016,13,2,194.
[5] 印兴耀, 王欣, 杨继东. 基于子波重构的时—空域高斯束正演方法[J]. 石油地球物理勘探, 2016, 51(1):106-114.
[6]印兴耀,化世榜,宗兆云. 基于线性近似的微分等效介质方程解耦方法[J]. 石油地球物理勘探,2016,51(2):281-287.
[7] XingyaoYin, Kun Li, Zhaoyun Zong. Resolution enhancement of robust Bayesian pre-stack inversion in the frequency domain. Journal of Geophysics and Engineering, 2016, 13(5):646-656.
[8] 李坤,印兴耀,宗兆云. 基于匹配追踪谱分解的时频域FAVO流体识别方法[J]. 石油学报, 2016, 37(6): 777-786.
[9]印兴耀, 刘倩. 致密储层各向异性地震岩石物理建模及应用[J]. 中国石油大学学报(自然科学版), 2016, 40(2): 52-58.
[10]冯吉浩, 曹丹平, 秦海旭, 等. 基于波动方程正演模拟的多尺度地震资料反射特征分析[J]. 地球物理学进展, 2016, 31(3):1058-1065.
[11]李坤, 印兴耀,宗兆云. 利用平滑模型约束的频率域多尺度地震反演[J]. 石油地球物理勘探, 2016, 51(4):760-768.
[12] 邓炜, 印兴耀,宗兆云,黄世佳. 基于逆算子估计的高阶AVO非线性反演[J]. 石油地球物理勘探, 2016, 51(5):955-964.
[13] 印兴耀,秦秋萍,宗兆云. 数字岩石物理中弹性参数的有限差分计算方法[J]. 地球物理学报, 2016, 59(10):3880-3890.
[14]邓炜, 印兴耀, 宗兆云.等效流体体积模量直接反演的流体识别方法[J] 石油地球物理勘探, 2017,V52(2):315-325
[15]邓炜,印兴耀,宗兆云.基于修正褶积模型的地震反演[J].物探化探计算技术,2017,39(02):224-230
[16]印兴耀,刘婵娟,王保丽. 基于混合遗传算法的叠前随机反演方法[J]. 中国石油大学学报(自然科学版),2017,:1-6
[17]孙文国, 曹丹平, 冯吉浩. 基于误差最小原则的品质因子提取方法研究与应用[J]. 物探化探计算技术, 2016, 38(6):810-814
[18]印兴耀, 李坤, 宗兆云,张玉昕. 时频联合域贝叶斯地震反演方法[J]. 石油物探, 2017, 56(2):250-260.
[19]马妮, 印兴耀, 孙成禹, 宗兆云. 基于正交各向异性介质理论的地应力地震预测方法[J]. 地球物理学报, 2017,60(12):4766-4775
[20]Li Kun, Yin Xingyao, Zong zhaoyun. Pre-stack Bayesian cascade AVA inversion in complex-Laplace domain and its application to the broadband data acquired at East China [J]. Journal of Petroleum Science and Engineering, 2017, 158(9):751-765.
[21]Li Kun, Yin Xingyao, Zong zhaoyun. Bayesian seismic multi-scale inversion in complex Laplace mixed domains [J]. Petroleum Science, 2017, 14(4):638-654.
[22]李坤, 印兴耀, 宗兆云, 彪芳书. 基于快速匹配追踪的混合域地震稀疏反演方法[J]. 中国石油大学学报(自然科学版), 2018, 42(1):50-59.
[23]马妮,印兴耀,孙成禹,宗兆云.基于方位地震数据的地应力反演方法[J]. 地球物理学报, 2018,61(2):697-706.
[24]Li Kun, Yin Xingyao, Zong zhaoyun. Reliability enhancement of mixed-domain seismic inversion with bounding constraints [J]. Inverse Problems in Science and Engineering, 2018, Published online: 02 Apr 2018.
[25]印兴耀, 张洪学, 宗兆云. OVT 数据域五维地震资料解释技术研究现状与进展[J]. 石油物探, 57(2): 155-178.
[26]Guangsen Cheng, XingyaoYin, Zhaoyun Zong. Third-order AVO inversion for lamé parameter based on inverse operator estimation algorithm. Journal of Petroleum Science and Engineering,2018, 164:117-126.
[27]马妮;印兴耀;宗兆云;孙成禹;.曲率属性在地应力地震预测中的应用[J].物探化探计算技术,2018,40(2):182-188
[28]Zhang H, Yin X, Zong Z. Rock moduli estimation of inhomogeneous two-phase media with finite difference modeling algorithm[J]. Journal of Geophysics & Engineering, 2017:3966-39
[29]印兴耀,马妮,马正乾,宗兆云.:地应力预测技术的研究现状与进展.石油物探,2018,57(4):488-504.
[30]安鹏,曹丹平.2018.基于深度学习的测井岩性识别方法研究与应用.地球物理学进展,33(3):1029-1034.
[31]印兴耀, 赵正阳, 宗兆云. 基于层状双孔介质的地震波反射和透射系数频散特性研究[J]. 地球物理学报, 2018, 61(7): 2937-2949.
[32]Yin, X., Cheng, G., Zong Z. Non-linear AVO inversion based on a novel exact PP reflection coefficient. Journal of Applied Geophysics, 2018, 159: 408-417.
[33]印兴耀,许璐,宗兆云,等. 基于局部频率约束的动态快速匹配追踪方法[J]. 中国石油大学学报(自然科学版),2018,42(6):59-66
[34]Zhao Z Y, Yin X Y, Zong Z Y. 2018. Analytical seismic wave attenuation and velocity dispersion in layered double-porosity media. Annals of Geophysics, 61(3): SE343.
[35]李坤,印兴耀,宗兆云,等. 频变黏弹性流体因子叠前地震 F-AVA 反演方法[J] . 中国石油大学学报( 自然科学版) ,2019,43(1) :23-32.
[36]赵正阳, 印兴耀, 宗兆云. 含横向喷射流的部分饱和介质的纵波衰减和频散特性研究[J]. 石油物探, 2019, 58(1): 17-26.
[37]Li K, Yin XY and Zong ZY. An improved stochastic inversion for joint estimation of seismic impedance and lithofacies[J]. Journal of Geophysics and Engineering, 2019, 1:15.
[38]Zhou D.Y.,Yin X.Y. and Zong Z.Y.2019.Multi-trace basis-pursuit seismic inversion for resolution enhancement.Geophysical Prospecting,67,519-531.
[39]Yang, Y., Yin, X., Gao, G., et al, 2019. Shear-wave velocity estimation for calciferous sandy shale formation, Journal of Geophysics and Engineering, 16, 105-115.
[40] Guangsen Cheng, XingyaoYin, Zhaoyun Zong. Nonlinear elastic impedance inversion in the complex frequency domain basedon an exact reflection coefficient. Journal of Petroleum Science and Engineering,2019, 178: 97-105.
[41] 印兴耀,周东勇,宗兆云等. 2019.含黏性流体孔隙介质分界面上反透射系数特征研究[J].地球物理学报,62(6):2258-2266.
[42] 许璐,吴笑荷,张明振,印兴耀,宗兆云.基于局部频率约束的匹配追踪强反射识别与分离方法.石油地球物理勘探,2019,54(3):587-593.
[43] Qianhao Sun, Zhaoyun Zong, 2019. Amplitude variation with incident angle inversion for fluid factor in the depth domain. Ann. of
Geophys, 62(1): AC7.
[44] 常晓伟,曹丹平,梁锴,印兴耀.基于高阶广义标准线性体模型的三维黏弹性介质弹性波正演模拟[J].地球物理学进展,2019(03):1010-1016.
[45] 周东勇,印兴耀,宗兆云.含两项不混合/单项黏性流体孔隙介质分界面上反透射系数特征研究.地球物理学报, 2019, 62(7): 2684-2696.
[46] Ma Z, Yin X, Zong Z, et al. Azimuthally variation of elastic impedances for fracture estimation[J]. Journal of Petroleum Science and Engineering, 2019,181.
[47] Cao, DP., Li, Y., Sun, WG. et al.Joint inversion method for interval quality factor based on amplitude and phase information Appl. Geophys. (2019).
[48]Lei, T., Yin, X. Y., & Zong, Z. Y. (2018). Pore pressure prediction methods using
normal compaction trend based on seismic inversion. Annals of Geophysics, 61(4), 442.
国际会议:
[1]Cao Danping, Feng jihao, et al. Characteristics analysis and matching of surface seismic, VSP, and crosswell seismic data. 86th SEG Technical Program Expanded Abstracts, 2016.
[2]Zong Zhaoyun, Yin Xingyao, et al. Seismic inversion in complex frequency domain for the low component of model parameter. 86th SEG Technical Program Expanded Abstracts, 2016.
[3]Li Kun, Yin Xingyao, et al. Seismic-sparse inversion in mixed domain utilizing fast matching pursuit algorithm. 86th SEG Technical Program Expanded Abstracts, 2016.
[4]Li Kun, Yin Xingyao, et al. Reliability enhancement of mix-domain seismic inversion with bounding constraints. 86th SEG Technical Program Expanded Abstracts, 2016.
[5]Li Kun, Yin Xingyao, et al. Bayesian seismic multiscale inversion in Laplace-mix domain. 86th SEG Technical Program Expanded Abstracts, 2016.
[6] DengWei, Yin Xingyao, et al. A direct approach of obtaining density stably from seismic data. 86th SEG Technical Program Expanded Abstracts, 2016.
[7] Liu Chanjuan, Yin Xingyao, et al. Stochastic inversion of elastic impedance based on simulated annealing genetic algorithm. 86th SEG Technical Program Expanded Abstracts, 2016.
[8] Zheng Ying, Yin Xingyao, et al. The equivalence between digital core and rock physics model for pure sandstones and shaly sandstones. 86th SEG Technical Program Expanded Abstracts, 2016.
[9] Wang Huixin, Yin Xingyao, et al. There term AVO approximation of Kf-fm-? And prestack seismic inversion for deep reservoir. 86th SEG Technical Program Expanded Abstracts, 2016.
[10] Li Kun, Yin Xingyao, et al. Resolution Enhancement of Robust Bayesian Pre-stack Inversion in the Frequency Domain. 78th EAGE Technical Program Expanded Abstracts, 2016.
[11] Liu Chanjuan, Yin Xingyao, et al. Seismic stochastic inversion based on the lateral constraint. 78th EAGE Technical Program Expanded Abstracts, 2016.