Wei Zhu

ORCID: 0000-0001-8219-2947
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About
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Research Areas
  • Seismic Imaging and Inversion Techniques
  • Drilling and Well Engineering
  • Hydraulic Fracturing and Reservoir Analysis
  • Geophysical Methods and Applications
  • Neural Networks and Applications
  • Advanced Image Fusion Techniques
  • Model Reduction and Neural Networks
  • Seismic Waves and Analysis
  • Coding theory and cryptography
  • Polynomial and algebraic computation
  • Sparse and Compressive Sensing Techniques
  • Ultrasonics and Acoustic Wave Propagation
  • High-Velocity Impact and Material Behavior
  • Cryptography and Residue Arithmetic
  • Face and Expression Recognition
  • Transport and Economic Policies
  • Metallurgical Processes and Thermodynamics
  • Concrete Corrosion and Durability
  • Flow Measurement and Analysis
  • Simulation and Modeling Applications
  • Geotechnical and Geomechanical Engineering
  • Sustainability in Higher Education
  • Numerical methods in inverse problems
  • Image Processing Techniques and Applications
  • Smart Materials for Construction

China University of Petroleum, Beijing
2021-2022

Chinese Academy of Sciences
2015-2021

Institute of Geology and Geophysics
2018-2019

University of California, Los Angeles
2018

University of Chinese Academy of Sciences
2018

University of Electronic Science and Technology of China
2016

Nanjing University of Posts and Telecommunications
2013

Concordia University
2013

In this study, an efficient image fusion framework for multi‐focus images is proposed based on compressed sensing. The new consists of three parts: sampling, measurement and reconstruction. First, the dual‐channel pulse coupled neural network model used in sampling part as important weighting factor scheme. Second, result from reconstructed through a reconstruction algorithm called self‐adaptively modified Landwebber filter. Finally, computer simulation‐based experiment conducted, showing...

10.1049/iet-ipr.2012.0543 article EN IET Image Processing 2013-06-01

We replace the output layer of deep neural nets, typically softmax function, by a novel interpolating function. And we propose end-to-end training and testing algorithms for this new architecture. Compared to classical nets with function as activation, surrogate activation combines advantages both manifold learning. The framework demonstrates following major advantages: First, it is better applicable case insufficient data. Second, significantly improves generalization accuracy on wide...

10.48550/arxiv.1802.00168 preprint EN other-oa arXiv (Cornell University) 2018-01-01

The knowledge of hydraulic fracture morphology is significant for the analysis mechanisms. This paper utilizes passive Ultrasonic Travel-time Tomography (UTT) to characterize fracture. We constructed a velocity model based on X-ray computerized tomography (X-CT) images scanned real hydraulically fractured shale column. Then, ray-paths and travel times corresponding source-receiver configuration were calculated by curved ray-tracing schemes. Lastly, we performed tomographic inversions using...

10.3390/en11051321 article EN cc-by Energies 2018-05-22

ABSTRACT Seismic waves passing through partially saturated porous rocks produce pressure gradients in the fluid phase, and, hence, resulting flow is accompanied by various length scales. The major mechanism responsible for seismic attenuation and dispersion arguably known as wave‐induced between inhomogeneities of microscopic, mesoscopic macroscopic Previous studies have revealed that differentiating influence heterogeneities at scales on wave within exploration sonic frequencies,...

10.1111/1365-2478.13101 article EN Geophysical Prospecting 2021-05-04

Hydraulic fracturing is an important means for the development of tight oil and gas reservoirs. Laboratory rock mechanics experiments can be used to better understand mechanism hydraulic fracture. Therefore, in this study we carried out on Triassic Yanchang Formation sandstone from Ordos Basin, China. Sparse tomography was obtain ultrasonic velocity images sample during fracturing. Then, combining changes parameters, acoustic emission activities, their spatial position, analyzed process...

10.3390/app11199352 article EN cc-by Applied Sciences 2021-10-08

Image quality assessment is an important part inimage processing. With the stereoscopic video technologydevelopment and popularization, ofstereoscopic images play role in three-dimensional(3D) multimedia applications. But qualityassessment (SIQA) facing many new challenges, such as depthperception, virtual view synthesis asymmetric stereocompression so on. In this paper, a Full-Reference (FR)stereoscopic image method proposed byconsidering binocular combining. Firstly, combinestereo pairs to...

10.1109/dasc-picom-datacom-cyberscitec.2016.169 article EN 2016-08-01

ABSTRACT Electrical resistivity tomography employs L 2 norm regularization in many applications. We developed the boundary‐sharping inversion method based on finite element methods and irregular grid approach, which contact areas of elements are used to weight model parameters. Similar approaches have previously only been for structured grids. also designed an electrical system laboratory conduct experimental data tests. Focusing imaging small‐scale targets, we further compared behaviour...

10.1111/1365-2478.13138 article EN Geophysical Prospecting 2021-08-16

In this paper, we introduce an inertial version of the Proximal Incremental Aggregated Gradient method (PIAG) for minimizing sum smooth convex component functions and a possibly nonsmooth regularization function. Theoretically, show that Gradiend (iPIAG) enjoys global linear convergence under quadratic growth condition, which is strictly weaker than strong convexity, provided stepsize not larger constant. Moreover, present two numerical expreiments demonstrate iPIAG outperforms original PIAG.

10.48550/arxiv.1712.00984 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Summary Hydraulic fracture has been a well-known technique for unconventional oil-gas development since the last decades. And laboratory hydraulic experiments have extensively performed to study mechanism of fracture. In order improve our understanding hydro-fracture’s and fluid migration during fracturing, we experiment on tight sandstone cored from Triassic Yanchang Formation in Ordos Basin, Northwest China. The velocity images acoustic emission are monitored experiment. By comparing them...

10.3997/2214-4609.202010666 article EN 2020-01-01

In this paper, a new triangular decomposition algorithm is proposed for ordinary differential polynomial systems, which has triple exponential computational complexity. The key idea to eliminate one algebraic variable from set of polynomials in step using the theory multivariate resultant. This seems be first with elementary computation

10.48550/arxiv.1503.04380 preprint EN other-oa arXiv (Cornell University) 2015-01-01

No abstract available.

10.1145/2850449.2850467 article FR ACM communications in computer algebra 2015-11-24

Based on the statistical yearbook data of Ningbo from 2005 to 2017. First, Pearson correlation coefficient is used judge that between container throughput and GDP higher than port cargo GDP. Secondly, relationship three industries studied by linear regression analysis. The results show development logistics can promote economy, increase It has largest impact second industry, followed third a weak first industry.

10.25236/ajhss.2020.030411 article EN Academic Journal of Humanities & Social Sciences 2020-05-28

Abstract Ultrasonic tomography, which is widely used in the study of fracturing process rocks, often exhibits low resolution due to insufficient ray coverage, particularly while evaluating three-dimensional (3D) fractures. To resolve this issue, we adopted sparseness regularisation tomography reconstruct ultrasonic velocity rocks. Both numerical and laboratory experiments demonstrate that with generates images clear fracture morphology than Tikhonov regularisation. Dynamic monitoring a...

10.1093/jge/gxac001 article EN cc-by Journal of Geophysics and Engineering 2022-02-01
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