Search Results - "Zhang, Dailu"

Improving efficiency and accuracy of levee hazard detection with deep learning by Zhao, Xiang, Zhang, Hongbing, Wang, Ping, Ren, Quan, Zhang, Dailu

“…This paper presents a model framework based on a deep learning algorithm using Faster R-CNN to improve the accuracy and efficiency of detecting long-distance…”
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Mechanism of transition between separated and non-separated oil-water flows in inclined pipe by Zhang, Dailu, Zhang, Hongbing, Ren, Quan, Zhao, Xiang

“…The analysis of drop formation and the transition between separated and non-separated oil–water flows enables us to better regulate flow parameters and pipe…”
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TOC content prediction based on a combined Gaussian process regression model by Rui, Jianwen, Zhang, Hongbing, Ren, Quan, Yan, Lizhi, Guo, Qiang, Zhang, Dailu

“…Continuous total organic carbon (TOC) content estimation plays a crucial role in source rock reservoir evaluation. However, conventional prediction methods…”
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Flow-field fitting method applied to the detection of leakages in the concrete gravity dam by Zhao, Xiang, Zhang, Hongbing, Wang, Ping, Ren, Quan, Zhang, Dailu, Yan, Lizhi, Zhu, Xinjie

“…Water leakage detection in concrete gravity dams is an important task for surface freshwater resources applications and management. The Flow-Field Fitting…”
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Multiple point geostatistical simulation with adaptive filter derived from neural network for sedimentary facies classification by Han, Feilong, Zhang, Hongbing, Rui, Jianwen, Wei, Kuiye, Zhang, Dailu, Xiao, Wei

“…Sedimentary facies distribution is a vital reference for oil and gas exploration in an offshore area. One of remaining questions in a marine exploration area…”
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Flow Field Fitting Method and Acoustic Doppler Velocity Measurement: A New Approach for Detecting Leakage Pathways in Concrete‐Face Rockfill Dams by Zhao, Xiang, Zhang, Hongbing, Wei, Kuiye, Wang, Ping, Ren, Quan, Zhang, Dailu

“…In this study, we aimed to detect the leakage inlets and determine the leakage pathways through a dam, and ensure that the amounts of leakage upstream and…”
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Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree by Ren, Quan, Zhang, Hongbing, Zhang, Dailu, Zhao, Xiang

“…Lithology identification using geophysical log information is vital for log interpretation and reservoir evaluation. As a result of the highly similar features…”
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Enhancing Seismic Facies Classification Using Interpretable Feature Selection and Time Series Ensemble Learning Model With Uncertainty Assessment by Ren, Quan, Zhang, Hongbing, Zhang, Dailu, Zhao, Xiang, Yu, Xiang

“…Seismic facies classification is crucial in reservoir evaluation and guiding oil and gas exploration and development. While machine learning and deep learning…”
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A framework of active learning and semi-supervised learning for lithology identification based on improved naive Bayes by Ren, Quan, Zhang, Hongbing, Zhang, Dailu, Zhao, Xiang, Yan, Lizhi, Rui, Jianwen, Zeng, Fanxin, Zhu, Xinyi

“…•Proposing a framework of active learning combined with semi-supervised learning.•Introducing Gaussian Mixture Model to fit distribution of complex logging…”
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A modified method of multiple point geostatistics for spatial simulation of sedimentary facies for carbonate reservoirs by Zhang, Dailu, Zhang, Hongbing, Ren, Quan, Zhao, Xiang, Shang, Zuoping

“…Sedimentary facies information plays an important role in elastic parameter modeling, seismic inversion, and other aspects of marine oil and gas exploration…”
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ORALI: Open-set recognition and active learning for unknown lithology identification by Zhu, Xinyi, Zhang, Hongbing, Ren, Quan, Rui, Jianwen, Zhang, Lingyuan, Zhang, Dailu

“…Lithology identification using logging data is an essential part of geophysical reservoir characterization. Reliable core samples are very limited, which means…”
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A Tri-Training method for lithofacies identification under scarce labeled logging data by Zhu, Xinyi, Zhang, Hongbing, Ren, Quan, Zhang, Dailu, Zeng, Fanxing, Zhu, Xinjie, Zhang, Lingyuan

“…Lithofacies identification is critical to energy exploration and reservoir evaluation. Machine learning provides a way to use logging data for lithofacies…”
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Total organic carbon content prediction based on support-vector-regression machine with particle swarm optimization by Rui, Jianwen, Zhang, Hongbing, Zhang, Dailu, Han, Feilong, Guo, Qiang

“…Total organic carbon (TOC) is a significant factor to evaluate the hydrocarbon potential of the unconventional reservoir, while it is difficult to obtain the…”
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Prediction model for the transition between oil–water two-phase separation and dispersed flows in horizontal and inclined pipes by Zhang, Dailu, Zhang, Hongbing, Rui, Jianwen, Pan, Yixin, Liu, Xingbin, Shang, Zuoping

“…There are two important flow patterns associated with horizontal and deviated wells: separation flows, which include stratified and annular flows, and…”
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A novel hybrid method of lithology identification based on k-means++ algorithm and fuzzy decision tree by Ren, Quan, zhang, Hongbing, Zhang, Dailu, Zhao, Xiang, Yan, Lizhi, Rui, Jianwen

“…Lithology identification methods based on conventional logging data are essential in reservoir geological evaluation. Due to the highly non-linear relationship…”
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Detection of Methane Concentration Based on Dielectric Barrier Discharge by Chai, Yu, Liu, Jie, Zhang, Dailu

“…Ordinary ionization type gas sensor for spark discharge occurs on the methane concentration detection and explosion danger, this article puts forward the…”
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Research on the Method of Convolutional Neural Network in Oil Well Drawing by Chai, Yu, Yin, Ning, Tang, Zhigang, Zhang, Dailu

“…The indicator diagram is a method for judging the type of failure of the pumping unit system. Since many oilfields still recognize the collected dynamometer by…”
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