Jingsheng Ma

ORCID: 0000-0003-4054-6668
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About
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Research Areas
  • Hydraulic Fracturing and Reservoir Analysis
  • Hydrocarbon exploration and reservoir analysis
  • Enhanced Oil Recovery Techniques
  • Drilling and Well Engineering
  • Seismic Imaging and Inversion Techniques
  • Groundwater flow and contamination studies
  • Coal Properties and Utilization
  • Advanced Mathematical Modeling in Engineering
  • CO2 Sequestration and Geologic Interactions
  • Lattice Boltzmann Simulation Studies
  • Rock Mechanics and Modeling
  • Reservoir Engineering and Simulation Methods
  • earthquake and tectonic studies
  • Methane Hydrates and Related Phenomena
  • Geological Modeling and Analysis
  • Spatial and Panel Data Analysis
  • Heat and Mass Transfer in Porous Media
  • Grouting, Rheology, and Soil Mechanics
  • Aerosol Filtration and Electrostatic Precipitation
  • Geotechnical and Geomechanical Engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Seismology and Earthquake Studies
  • Advanced Image and Video Retrieval Techniques
  • Composite Material Mechanics
  • Earthquake Detection and Analysis

81th Hospital of PLA
2025

Heriot-Watt University
2015-2024

China National Petroleum Corporation (China)
2024

Anhui University
2023

Beijing University of Agriculture
2023

Hebei University of Engineering
2022

Chemical Industry Press
2015

Shanghai University
2013

Heriot-Watt University Malaysia
2013

UNSW Sydney
2012

Fluid flow through porous media, and the thermal, electrical, acoustic properties of these materials, is largely controlled by geometry topology (GT) pore system, which can be considered as a network. Network extraction techniques have been applied in many research fields, including shape representation, pattern recognition, artificial intelligence. However, set algorithms presented here significantly improves efficiency common thinning introducing sufficiency condition based on idea simple...

10.1029/2006wr005780 article EN Water Resources Research 2007-11-29

Pore networks can be extracted from 3D rock images to accurately predict multi-phase flow properties of rocks by network simulation. However, the predicted may sensitive pore if it is small, even though its underlying characteristics are representative. Therefore, a challenge investigate effects on microscopic features individually and collectively based small samples. In this article, new approach introduced generate an initial stochastic arbitrary size that has same as parent network....

10.1007/s11242-011-9792-z article EN cc-by-nc Transport in Porous Media 2011-06-23

Abstract Fluid flow in nanoscale organic pores is known to be affected by fluid transport mechanisms and properties within confined pore space. The of gas water shows notably different characteristics compared with conventional continuum modeling approach. A network model developed implemented this work. 3‐D constructed from image that reconstructed 2‐D shale SEM organic‐rich sample. assumed gas‐wet contain initially gas‐filled only, the concerned drainage process. Gas considers a full range...

10.1002/2017wr021500 article EN Water Resources Research 2018-02-01

Pretrained Foundation Models (PFMs) are regarded as a promising accelerator for the development of various Artificial Intelligence (AI) applications, and have recently been widely fine-tuned to satisfy users' personalized inference demands. As many users attracted PFM-based AI remote data centers increasingly unable solely bear enormous computational demands meet delay requirements requests. Mobile edge computing (MEC) offers viable solution delivering low-latency services by pulling PFMs...

10.1109/tpds.2025.3527649 article EN IEEE Transactions on Parallel and Distributed Systems 2025-01-01

Lysine crotonylation (Kcr) is a novel post-translational modification that important in functional studies. However, our understanding of Kcr the developing human fetus brain, heart, kidney, liver, and lung remains restricted. In this study, we used high-resolution LC-MS/MS high-sensitivity immunoaffinity purification to analyze 17-week fetus. A total 24,947 sites were identified 5,102 proteins, resulting most diverse proteome organs ever reported. We investigated universality specificity...

10.1186/s12953-025-00240-9 article EN cc-by-nc-nd Proteome Science 2025-03-13

The paper describes SAGE, a software system that can undertake exploratory spatial data analysis (ESDA) held in the ARC/INFO geographical information system. aims of ESDA are described and simple model is defined associating elements 'rough' 'smooth' with different attribute properties. distinction drawn between global local statistics. SAGE's region building adjacency matrix modules described. These allow user to evaluate sensitivity results choice areal partition measure interarea...

10.1111/1467-9884.00147 article EN Journal of the Royal Statistical Society Series D (The Statistician) 1998-09-01

Fracture aperture change under stress has long been considered as one of primary causes sensitivity fractured gas reservoirs. However, little is known about the evolution morphology fracture apertures on flow property in loading and unloading cycles. This paper reports a experiment carbonate core plugs which Computed Tomography (CT) technology applied to visualize quantitatively evaluate morphological changes with respect confining pressure. models were obtained at selected pressures...

10.3390/en10111833 article EN cc-by Energies 2017-11-10

Super-resolution is the problem of generating one or a set high-resolution images from sequence low-resolution frames. Most methods have been proposed for super-resolution based on multiple low resolution same scene, which called multiple-frame super-resolution. Only few approaches produce image single image, with help training scenes different types. It referred to as single-frame This article reviews variety in recent years. In paper, new manifold learning method: locally linear embedding...

10.1109/icme.2005.1521623 article EN 2005-10-24
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