Journal ArticleDOI
A CNN-based approach for upscaling multiphase flow in digital sandstones
TLDR
In this paper , an upscaling method taking advantage of convolutional neural networks (CNNs) and downsampling techniques was proposed to predict the upscaled properties of low-resolution samples.About:
This article is published in Fuel.The article was published on 2022-01-01. It has received 10 citations till now. The article focuses on the topics: Convolutional neural network & Discretization.read more
Citations
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Journal ArticleDOI
Lift the veil of secrecy in sub-resolved pores by Xe-enhanced computed tomography
TL;DR: In this paper , a hybrid workflow was proposed to reveal sub-resolved pore structures and assign them a proper set of petrophysical properties that can be used for further numerical simulations.
Journal ArticleDOI
Research on flow pattern recognition of bidirectional sinusoidal pulsating fluidized bed based on three-camera coupled image analysis
TL;DR: In this article , a 2D bidirectional sinusoidal pulsating intermittent liquid-solid fluidized bed was proposed and constructed in order to improve the interphase transfer efficiency, and three high speed cameras were used to capture the original images of the flow state simultaneously in the reactor.
Journal ArticleDOI
Deep Learning Based Garbage Detection for Autonomous Garbage Collection Vehicles
Süleyman Uzun,Dilara Karaca +1 more
TL;DR: In this article , a new data set was created for autonomous garbage collection vehicles and a model was proposed in which these vehicles can be used, and the performance rate of the SquenzeNet, GoogLeNet, and Vgg-19 networks used in the study was found as 97.77%, 96.44% 94.66%, respectively.
Journal ArticleDOI
Effects of Wettability and Minerals on Residual Oil Distributions Based on Digital Rock and Machine Learning
TL;DR: In this paper , a new experimental procedure was designed that combined the multiphase flow experiments with a CT scan and QEMSCAN to obtain 3D digital models with multiple minerals and fluids, which revealed the effects of wettability of mineral surface on the distribution characteristics and formation mechanisms of residual oil.
Journal ArticleDOI
Designing Electronic Traffic Information Acquisition System Using Deep Learning and Internet of Things
TL;DR: In this paper , an improved Multi-Task-GooGleNet model based on Convolutional Neural Network (CNN) is proposed to locate and recognize vehicles in traffic images.
References
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Journal ArticleDOI
Survey over image thresholding techniques and quantitative performance evaluation
Mehmet Sezgin,Bulent Sankur +1 more
TL;DR: 40 selected thresholding methods from various categories are compared in the context of nondestructive testing applications as well as for document images, and the thresholding algorithms that perform uniformly better over nonde- structive testing and document image applications are identified.
Proceedings ArticleDOI
Understanding of a convolutional neural network
TL;DR: All the elements and important issues related to CNN, and how these elements work, are explained and defined and the parameters that effect CNN efficiency are state.
Journal ArticleDOI
Pore-scale imaging and modelling
Martin J. Blunt,Branko Bijeljic,Hu Dong,Oussama Gharbi,Stefan Iglauer,Peyman Mostaghimi,Adriana Paluszny,Christopher H. Pentland +7 more
TL;DR: Pore-scale imaging and modelling is becoming a routine service in the oil and gas industry as discussed by the authors, and has potential applications in contaminant transport and carbon dioxide storage, which has been shown to transform our understanding of multiphase flow processes.
Journal ArticleDOI
High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications
Veerle Cnudde,Matthieu Boone +1 more
TL;DR: A review of the principle, the advantages and limitations of X-ray CT itself are presented, together with an overview of some current applications of micro-CT in geosciences.
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