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Application of Iteratively Truncated Singular Value Decomposition to Computation of Teleseismic Receiver Functions
Receiver function analysis is perhaps the most popular tool amongst seismologists for estimating the receiver-side crustal structure using...
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Interpolated Fast Damped Multichannel Singular Spectrum Analysis for Deblending of Off-the-Grid Blended Data
Blended acquisition offers significant cost and period reduction in seismic data acquisition. However, fired blended sources are usually deployed at...
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Randomized Tensor Decomposition for Large-Scale Data Assimilation Problems for Carbon Dioxide Sequestration
Data assimilation methods are commonly used to predict petrophysical properties of deep saline aquifers for carbon dioxide sequestration studies....
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Adaptive Damped Rank-Reduction Method for Random Noise Attenuation of Three-Dimensional Seismic Data
Rank-reduction methods are effective for separating random noise from the useful seismic signal based on the truncated singular value decomposition...
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Channelized reservoir estimation using a low-dimensional parameterization based on high-order singular value decomposition
Prior to the estimation process of channelized reservoirs, in the context of any Assisted History Matching method, the parameterization of facies...
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Assessment of ZWD field predictions using the dynamic mode decomposition method
The existing water vapor present in the lower regions of the atmosphere plays a pivotal role in both weather forecasting and the propagation of...
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Low-rank Representation for Seismic Reflectivity and its Applications in Least-squares Imaging
Sparse representation and inversion have been widely used in the acquisition and processing of geophysical data. In particular, the low-rank...
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An iterative and shrinking generalized ridge regression for ill-conditioned geodetic observation equations
In geodesy, Tikhonov regularization and truncated singular value decomposition (TSVD) are commonly used to derive a well-defined solution for...
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Comparison of different inversion methods of D-T2 two-dimensional nuclear magnetic resonance logging and applicability analysis
D-T 2 two-dimensional nuclear magnetic resonance (2D NMR) logging technology can distinguish pore fluid types intuitively; it is widely used in oil...
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Velocity analysis of noisy seismic data based on RSVD weighted semblance
The accuracy of velocity spectrum affects the subsequent processing of seismic data. Though the singular value decomposition (SVD) weighted semblance...
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Comparison of Different Regularization Parameter Estimates: An Application to 1D Joint Inversion of DC Resistivity and CSRMT Data
The choice of an appropriate regularization parameter enables the correct estimation of model parameters and convergence of an inversion routine. The...
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Efficient seismic data reconstruction based on Geman function minimization
Seismic data typically contain random missing traces because of obstacles and economic restrictions, influencing subsequent processing and...
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Application of the nonlinear optimisation in regional gravity field modelling using spherical radial base functions
The gravity field is a signature of the mass distribution and interior structure of the Earth, in addition to all its geodetic applications...
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Low-rank diffraction separation using an improved MSSA algorithm
Diffraction separation is a vital key step for high-resolution imaging of small-scale geologic discontinuities. The multichannel singular-spectrum...
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A Study of Implementation Features of the r-Solution Method for Tsunami Source Recovery in the Case of the Illapel Tsunami 2015
A methodology is presented for tuning the main parameters of the r -solution method as applied to the problem of reconstructing the initial tsunami...
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Shear Behavior and Properties of Granite Fractures Under Different Pore Water Pressure Conditions
Understanding and predicting the shear mechanical characteristics of rock fractures subjected to different pore water pressures is vital for the...
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A novel de-noising method for NMR echo data obtained from tight sandstone reservoirs
To improve the signal-to-noise ratio (SNR) of nuclear magnetic resonance (NMR) echo data with SNR below 8 obtained from tight sandstone reservoirs...
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Real-time states estimation of a farm tractor using dynamic mode decomposition
We present a pure data-driven method to estimate vehicle dynamics from the measurements of sideslip and yaw rate in the use of GPS and inertial...
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Euler solution selecting method based on the dam** factor
We present a method, named the variable dam** factor selecting method, to select reliable Euler solutions. Our method considers the influence of...
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Accelerating Creep Stage of Red Sandstone Expressed and Quantitatively Identified Based on Acoustic Emission Information
Rock creep characteristics play an important role in geological engineering and have important physical implications when evaluating the long-term...
