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Comparison of nonlinear field-split preconditioners for two-phase flow in heterogeneous porous media
This work focuses on the development of a two-step field-split nonlinear preconditioner to accelerate the convergence of two-phase flow and transport...
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An enhanced V-cycle MgNet model for operator learning in numerical partial differential equations
This study used a multigrid-based convolutional neural network architecture known as MgNet in operator learning to solve numerical partial...
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Convergence of single rate and multirate undrained split iterative schemes for a fractured biot model
This paper considers a coupled flow and mechanics problem in a fractured poro-elastic medium. The fracture geometry is explicitly treated as a...
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Performance studies of the fixed stress split algorithm for immiscible two-phase flow coupled with linear poromechanics
In this work, we measure the performance of the fixed stress split algorithm for the immiscible water-oil flow coupled with linear poromechanics. The...
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Seismic ground roll attenuation in DWT domain by split Bregman iteration algorithm
Noise reduction of seismic data is one of the most substantial steps in seismic signal processing. Goudarzi and Riahi presented wavelet domain ground...
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Enhanced geothermal system productivity analysis of a well-group in a limited area based on the flow field split method
The prediction of the production capacity of the enhanced geothermal system (EGS) is crucial for the extraction of geothermal resources. To better...
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Domain decomposition and partitioning methods for mixed finite element discretizations of the Biot system of poroelasticity
We develop non-overlap** domain decomposition methods for the Biot system of poroelasticity in a mixed form. The solid deformation is modeled with...
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Multichannel deconvolution based on spatial structurally constraint and its applications
Traditional deconvolution methods based on single-channel inversion do not consider the spatial structural relation between channels, and hence, they...
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Verification of the Time-Split Method for Higher-Order Diffusion in the Spectral Element Method Model on a Cubed-Sphere Grid
This study used the time-split method for higher-order diffusion in a global numerical weather prediction model of the spectral element method on a...
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Basic Settings
In this chapter we start with some notation in the three-dimensional Euclidean space ℝ3. The most important differential operators in ℝ3 to be needed...
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Sparsity-promoting wide-angle least-squares one-way migration
For structural geology and geophysical exploration, it is of particular importance to get accurate images of salt domes, especially the subsalt...
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A Long-Time-Step-Permitting Tracer Transport Model on the Regular Latitude–Longitude Grid
If an explicit time scheme is used in a numerical model, the size of the integration time step is typically limited by the spatial resolution. This...
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A soft ground micro TBM’s specific energy prediction using an eXplainable neural network through Shapley additive explanation and Optuna
In tunnel construction, efficiently predicting the energy usage of tunnel boring machines (TBMs) is critical for optimizing operations and reducing...
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Development of modified scaling swelling model for the prediction of shale swelling
Shale is a sedimentary rock that comprises clay minerals in different proportion. These clay minerals tend to swell when they come in contact with...
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A new elastic least-squares reverse-time migration method based on the new gradient equations
Compared with single-component seismic data, multicomponent seismic data contain more P- and S-wave information. Making full use of multicomponent...
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Supervised Machine Learning Methods
This chapter describes supervised learning methods for regression and classification tasks. They include Naive Bayes, Ridge Regression, Least...
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Steeply dip** structural target-oriented viscoacoustic least-squares reverse time migration and its application
Steeply dip** structural imaging is a significant challenge because surface geophones cannot obtain seismic primary reflection wave information...
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Nonstationary seismic inversion: joint estimation for acoustic impedance, attenuation factor and source wavelet
Seismic signal can be expressed by nonstationary convolution model (NCM) which integrates acoustic impedance (AI), attenuation factor (AF) and source...
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SD-Net: Spatial Dual Network for Aerial Object Detection
The distribution direction of aerial objects is arbitrary compared to objects in natural images. However, the existing detectors identify and locate...
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Detection and characteristics analysis of the western subarctic front using the high-resolution SST product
Oceanic front plays a significant role in the ocean vertical mixing and the regulation of air-sea interaction, among others. The western branch of...