Prestack and poststack inversion using a physics-guided convolutional neural network
An inversion algorithm is commonly used to estimate the elastic properties, such as P-wave
velocity (VP), S-wave velocity (VS), and density (ρ) of the earth's subsurface. Generally, the …
velocity (VP), S-wave velocity (VS), and density (ρ) of the earth's subsurface. Generally, the …
Simultaneous multitrace impedance inversion with transform-domain sparsity promotion
S Yuan, S Wang, C Luo, Y He - Geophysics, 2015 - library.seg.org
The impedance inversion technique plays a crucial role in seismic reservoir properties
prediction. However, most existing impedance inversion methods often suffer from spatial …
prediction. However, most existing impedance inversion methods often suffer from spatial …
Transdimensional seismic inversion using the reversible jump Hamiltonian Monte Carlo algorithm
Prestack or angle stack gathers are inverted to estimate pseudologs at every surface
location for building reservoir models. Recently, several methods have been proposed to …
location for building reservoir models. Recently, several methods have been proposed to …
[HTML][HTML] A comparison of deep learning methods for seismic impedance inversion
SB Zhang, HJ Si, XM Wu, SS Yan - Petroleum Science, 2022 - Elsevier
Deep learning is widely used for seismic impedance inversion, but few work provides in-
depth research and analysis on designing the architectures of deep neural networks and …
depth research and analysis on designing the architectures of deep neural networks and …
火成岩储层物性参数叠前地震反演
刘军, 文晓涛, 张雨强, 吴昊 - 地球物理学进展, 2022 - dzkx.org
地震数据预测储层物性参数是地震储层预测的核心内容. 传统上, 地震反演预测储层参数通过
间接方法实现, 会带来极大的不确定性和累计误差, 降低储层参数的预测精度 …
间接方法实现, 会带来极大的不确定性和累计误差, 降低储层参数的预测精度 …
Multitrace impedance inversion with lateral constraints
H Hamid, A Pidlisecky - Geophysics, 2015 - library.seg.org
We have developed a lateral constraint to the inversion of 1D seismic impedance models to
suppress the effect of data noise and improve the fidelity of formation boundaries in 2D …
suppress the effect of data noise and improve the fidelity of formation boundaries in 2D …
[PDF][PDF] 基于Born 逆散射理论的反射系数参数化及弱度参数反演方法研究与应用
范白涛, 何英明, 周长所, 孙进 - 地球物理学进展, 2022 - progeophys.cn
摘要裂缝预测是非常规油气储层勘探开发的重要环节. 地震振幅随入射角和方位变化(Seismic
Amplitude Variation with the Angle And Azimuth, 即AVOAZ) 的反演方法是地下裂缝参数预测 …
Amplitude Variation with the Angle And Azimuth, 即AVOAZ) 的反演方法是地下裂缝参数预测 …
Sparse reflectivity inversion for nonstationary seismic data
X Chai, S Wang, S Yuan, J Zhao, L Sun, X Wei - Geophysics, 2014 - library.seg.org
Conventional reflectivity inversion methods are based on a stationary convolution model
and theoretically require stationary seismic traces as input (ie, those free of attenuation and …
and theoretically require stationary seismic traces as input (ie, those free of attenuation and …
Azimuthal variation of seismic amplitude for brittleness and fracture parameter of gas-bearing shale reservoir
X TIAN, ZH SONG, ZK TIAN, TW DU - Progress in Geophysics, 2023 - en.dzkx.org
Engineering dessert evaluation is an important role in the exploration and development of
unconventional oil and gas reservoirs such as shale. Brittleness and fracture parameter …
unconventional oil and gas reservoirs such as shale. Brittleness and fracture parameter …
Statistics-guided dictionary learning for automatic coherent noise suppression
Y Zhou, J Yang, H Wang, G Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Coherent seismic noise is usually difficult to attenuate due to the similar morphological
patterns between noise and useful signals. To attenuate coherent noise, special …
patterns between noise and useful signals. To attenuate coherent noise, special …