A5100610194- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Hydraulic Fracturing and Reservoir Analysis
- Drilling and Well Engineering
- Paleontology and Stratigraphy of Fossils
- Tracheal and airway disorders
- Dysphagia Assessment and Management
- Geochemistry and Elemental Analysis
- Hydrocarbon exploration and reservoir analysis
- Geological and Geochemical Analysis
- Underwater Acoustics Research
- Geochemistry and Geologic Mapping
- Image and Signal Denoising Methods
- Geological and Geophysical Studies
- Geotechnical Engineering and Underground Structures
- Geophysical Methods and Applications
- Seismology and Earthquake Studies
- Remote Sensing and Land Use
- Child Nutrition and Feeding Issues
- Reservoir Engineering and Simulation Methods
- Stock Market Forecasting Methods
- Electrocatalysts for Energy Conversion
- Esophageal and GI Pathology
- Banking stability, regulation, efficiency
- Textile materials and evaluations
Xi'an Jiaotong University
2016-2025
Tianjin University of Technology
2024
Franklin & Marshall College
2024
Hunan University
2023
Research Institute of Petroleum Exploration and Development
2015-2023
Zhejiang Sci-Tech University
2020-2022
Shaoxing University
2020-2022
Tianjin University of Science and Technology
2022
Beijing Jiaotong University
2022
Google (United States)
2021
Seismic inversion is a significant tool for exploring the structure and characteristics of underground. However, conventional strategy strongly depends on initial model. In this work, we employ physics-informed neural network (PINN) to estimate velocity density fields based acoustic wave equations. contrast traditional purely data-driven machine learning approaches, PINNs leverage both available data physical laws that govern observed during training stage. first-order equations are embedded...
Dysphagia is a common condition after stroke, and it associated with many complications. Early effective treatments are essential to the prognosis of patients dysphagia. We aimed evaluate effects safety capsaicin combined ice stimulation in dysphagia stroke.Patients admitted our hospital from December 2017 2019 were included. The control group received stimulation, experimental stimulation. grade water swallowing test (WST), standard assessment (SSA) scores serum substance P level was...
The high cost of acquiring a sufficient amount seismic data for training has limited the use machine learning in tomography. In addition, inversion uncertainty due to noisy and scarcity is less discussed conventional tomography literature. To mitigate effects quantify their impacts prediction, so-called Bayesian Physics-Informed Neural Networks (BPINNs) based on eikonal equation are adopted infer velocity field reconstruct travel-time field. BPINNs, two inference algorithms including Stein...
Surface travel-time tomography is a widely-used method to characterize the structure of underground. However, conventional seismic techniques often require high-fidelity numerical forward model, which leads significant computational burden and time consumption. Additionally, inverse problem in prone ill-posedness lacks uncertainty quantification for inferred results.
Abstract Phenolic resins (PRs) are known for their exceptional performance due to 3D cross‐linked structure formed during curing. However, this crosslinking makes them non‐reprocessable and difficult recycle, leading significant environmental pollution resource waste. In study, the reactivity of phenolic hydroxyl group in thermoplastic PR (abbreviated as NR) is utilized introduce a highly stable nitrogen‐coordinated cyclic boronic ester (NCB) into traditional carbon‐chain polymers with aid...
Seismic noise separation and attenuation is a fundamental topic in the seismic signal processing geological interpretation. Several kinds of algorithms are proposed for separating attenuating random noises. However, conventional methods often handle volume trace by trace, which ignores lateral continuity data. Moreover, typical broadband signal, makes it difficult to separate attenuate noises contained whole frequency bands raw Additionally, tuning parameters denoising also task filter...
The numerical simulation of wave fields in 3-D poroelastic media can give a better understanding elastic properties, deformation characteristics rocks, and interaction with pore fluids. However, the equations include more equations, size geophysical model for practical reservoir is immense. Therefore, time consuming. In order to improve efficiency, we proposed variable-order staggered-grid (SG) finite difference (FD) method solve equations. this method, different orders SGFD scheme be...
ABSTRACT Numerical simulation in coupled elastic and poroelastic media is important oil gas exploration. However, the interface between a challenge to handle. In order deal with model, first‐order velocity–stress wave equations are used unify equations. addition, an arbitrary high‐order discontinuous Galerkin method simulate propagation elastic–poroelastic media, which achieves same accuracy time space domain simultaneously. The interfaces two explicitly tackled by Godunov numerical flux....
Abstract In multi-objective multi-agent systems (MOMASs), agents explicitly consider the possible trade-offs between conflicting objective functions. We argue that compromises competing objectives in MOMAS should be analyzed on basis of utility these have for users a system, where an agent’s function maps their payoff vectors to scalar values. This utility-based approach naturally leads two different optimization criteria MOMAS: expected scalarized returns (ESRs) and (SERs). this article, we...
Abstract Seismic numerical modelling involved in each stage of seismic exploration process is aimed at predicting seismograms an assumed subsurface medium. The energies and phases waves vary with the presence fluids, while frequency-dependent reflections a reservoir hydrocarbons was explained using diffusive-viscous wave (DVW) equation. We proposed Galerkin finite-element method (FEM) to numerically study propagation properties DVW fluid-filled media ascertain influences saturated fluids on...
Time–frequency (T–F) analysis has powerful applications in various fields such as geoscience and engineering. Seismograms are distorted by dispersion attenuation a way that they alter their amplitude phase spectra. Velocity is usually neglected the conventional seismic data processing. However, it severe effect on processing if intense high-attenuation media. Most of studies theoretical models laboratory measurements, whereas velocity directly from field rare. In this letter, method proposed...
The FeCNRs were controlled prepared<italic>via</italic>carbonizing the Fe complexes and their activities on ORR was found to be suitable for Zn–air battery application.
For oil and gas exploration, seismic wave propagation in coupled acoustic, elastic, poroelastic, even anisotropic media is a valuable aspect. However, it challenging task to deal with the interfaces of model. In order tackle specific issue, unified numerical scheme developed, which based on discontinuous Galerkin method. The elastic equations are into first-order velocity–stress system. simulation at model conveniently handled by Godunov flux without any extra operations. Numerical results...