Jiaqi Wu

ORCID: 0009-0007-3650-1842
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About
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Research Areas
  • Hydrocarbon exploration and reservoir analysis
  • NMR spectroscopy and applications
  • Coal Properties and Utilization
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • Image Enhancement Techniques
  • Environmental Changes in China
  • Remote Sensing in Agriculture
  • Retinal Imaging and Analysis
  • Advanced Neural Network Applications
  • Advanced Image Fusion Techniques
  • Fire Detection and Safety Systems
  • Hydraulic Fracturing and Reservoir Analysis
  • Retinal Diseases and Treatments
  • Methane Hydrates and Related Phenomena
  • Brain Tumor Detection and Classification
  • Visual Attention and Saliency Detection
  • Machine Learning and ELM

China University of Mining and Technology
2021-2025

Shanghai Tunnel Engineering (China)
2024

State Key Laboratory for Geomechanics and Deep Underground Engineering
2023-2024

University of British Columbia
2024

Deep low-rank coalbed methane (CBM) resources are numerous and widely distributed in China, although their exploration remains its infancy. In this work, gas adsorption (N2/CO2), mercury intrusion porosimetry, 3D CT reconstruction were performed on five coal samples of deep shallow from northeast China to analyze pore structure. The impact the features structure at full scale capacity for seepage is discussed. results indicate that there significant differences between terms porosity,...

10.3390/fractalfract8010048 article EN cc-by Fractal and Fractional 2024-01-12

Video surveillance as an important function of internet video things (IoVT) system has been widely used in coal mine monitoring for safety with excellent results, however, there are still many shortcomings: 1) Existing IoVT systems have limited detection accuracy small-sized objects; 2) Coal generally adopt centralized cloud computing, transmission massive data causes high latency, which seriously affects the response speed object function; 3) The concept drift caused by stream affect effect...

10.1109/jiot.2024.3373028 article EN IEEE Internet of Things Journal 2024-03-18

Abstract. Terrestrial ecosystems are crucial in mitigating global climate change, and Dynamic Global Vegetation Models (DGVMs) have become essential tools for simulating these ecosystems. However, uncertainties remain DGVM simulations China, highlighting the need to systematic evaluations of their dynamics across various time scales enhance model performance. As such, we utilize reprocessed monthly MODIS Leaf Area Index (LAI) Contiguous Solar-induced Fluorescence (CSIF) data as observational...

10.5194/esd-2024-44 preprint EN cc-by 2025-02-03

Abstract Intelligent monitoring technology plays an important role in promoting the development of coal mine safety management. Low illumination underground leads to difficult recognition images and poor personnel detection accuracy. To alleviate this problem, a low illuminance image enhancement method proposed for mines. Specifically, local module maps normal at pixel level preserving details as much possible. The transformer-based global adjustment is applied locally enhanced avoid...

10.1007/s40747-024-01387-2 article EN cc-by Complex & Intelligent Systems 2024-02-29

Summary Unconventional reservoirs have nanoscale pores, complex pore structures, and heterogeneity that directly affect reservoir storage performance fluid transport capacity. In this study, shale, mudstone, sandstone, three typical coal sedimentary rocks from the Daqiang mine in Tifa Basin, were selected for nuclear magnetic resonance (NMR) scanning electron microscopy (SEM) investigation, with aim to investigate structure multifractal characteristics of qualitatively analyze effects...

10.2118/219457-pa article EN SPE Journal 2024-02-05

Abstract The spatial characteristics of NDVI Xinjiang Tianchi Bogda Peak natural reserve are analyzed by using the AVHRR and MODIS date from 1990 to 2015. temporal change this is one variable linear regression correlation analysis. results indicate that, values higher in north than those south As altitude increases, first then decreases. According grading results, proportion moderate vegetation grade larger others. From 2015, rate 0.0171/5a (p > 0.05). shows an increasing tendency, except...

10.1088/1755-1315/787/1/012091 article EN IOP Conference Series Earth and Environmental Science 2021-06-01

The combination of nuclear magnetic resonance (NMR) and imaging (MRI) to investigate the seepage characteristics sedimentary rock has been popular research in recent years. This assessed dynamic features sandstone shale samples through NMR MRI measurements with two respective fluids different wettability (i.e., distilled water kerosene). Results show that possess remarkably T<sub>2</sub> spectra. saturation movable fluid (FFI) is 75.09%, 74.92%, 7.50%,...

10.1615/jpormedia.2023049071 article EN Journal of Porous Media 2023-12-26
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