The estimation of petrophysical parameters is key in the identification of underground
reservoirs. Current petrophysical parameter estimation methods are typically constrained by …

The deconvolution method is crucial for enhancing seismic resolution. Traditional
multichannel schemes incorporate lateral constraints to enhance data continuity and …

We have addressed the seismic impedance inversion problem, which is often ill posed
because of inaccurate and insufficient data. The approach taken is based on dictionary …

Regularization parameter selection (RPS) is one of the most important tasks in solving
inverse problems. The most common approaches seek the optimal regularization parameter …

The presence of seismic absorption distorts seismic record and reduces seismogram
resolution, which can be partially compensated by application of absorption compensation …

Seismic impedance inversion is an effective technique for estimating subsurface rock
attributes from poststack data. The inversion efficacy, however, can be compromised by …

针对合成孔径雷达(syntheticapertureradar, SAR) 成像中, 基于 1 正则化线性回归(简称为
Lasso) 的凸优化类算法在进行稀疏特征增强时会导致弱散射体结构特征丢失 …

The utilization of urban underground space in a smart city requires an accurate
understanding of the underground structure. As an effective technique, Rayleigh wave …

The prediction of elastic parameters (ie, P-, S-wave velocity, and density) is one of the key
tasks of seismic reservoir characterization. The amplitude-variation-with-offset/angle seismic …

Seismic reflectivity inversion using l 1‐norm regularization produces sparse solutions by
applying an l 1‐norm constraint. The fast iterative shrinkage‐thresholding algorithm is one of …