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5篇 您的检索式：作者名="ZOU Youlong"

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		题名	作者	年代	出处	被引量
	1	A novel method for NMR data compression 显示文摘	Zou Youlong Xie Ranhong	2015	Computational Geosci- ences2015，19，：	1
	2	A noval wireline logs based approach for assessment of mineral concentrations in organicshale显示文摘	Tan Maojin Zou Youlong Wang Xiaochang	2014	OilShale2014，31，2：	1
	3	A No-val Wireline Logs Based Approach for Assessment of Min-eral Concentrations in Organic Shale显示文摘	TAN Maojin ZOU Youlong WANG Xiaochang	2014	Oil Shale2014，31，2：	1
	4	A new NMR-data-based method for predicting petrophysical properties of tight sandstone reservoirs显示文摘Evaluating the permeability and irreducible water saturation of tight sandstone reservoirs is challenging.This study uses distribution functions to fit measured NMR T_(2)distributions of tight sandstone reservoirs and extract parameters for characterizing pore size distribution.These parameters are then used to establish prediction models for permeability and irreducible water saturation of reservoirs.Results of comparing the fit of the T_(2)distributions by the Gauss and Weibull distribution functions show that the fitting accuracy with the Weibull distribution function is higher.The physical meaning of the statistical parameters of the Weibull distribution function is defined to establish nonlinear prediction models of permeability and irreducible water saturation using the radial basis function(RBF)method.Correlation coefficients between the predicted values by the established models and the measured values of the tight sandstone core samples are 0.944 for permeability and 0.851 for irreducible water saturation,which highlight the effectiveness of the prediction models.	Mi Liu Ranhong Xie Jun Li Hao Li Song Hu Youlong Zou	2023	Energy Geoscience2023，4，2：	0
	5	Two-dimensional NMR inversion based on fast norm smoothing method显示文摘Two-dimensional(2D)nuclear magnetic resonance(NMR)inversion operates with massive echo train data and is an ill-posed problem.It is very important to select a suitable inversion method for the 2D NMR data processing.In this study,we propose a fast,robust,and effective method for 2D NMR inversion that improves the computational efficiency of the inversion process by avoiding estimation of some unneeded regularization parameters.Firstly,a method that combines window averaging(WA)and singular value decomposition(SVD)is used to compress the echo train data and obtain the singular values of the kernel matrix.Subsequently,an optimum regularization parameter in a fast manner using the signal-to-noise ratio(SNR)of the echo train data and the maximum singular value of the kernel matrix are determined.Finally,we use the Butler-Reeds-Dawson(BRD)method and the selected optimum regularization parameter to invert the compressed data to achieve a fast 2D NMR inversion.The numerical simulation results indicate that the proposed method not only achieves satisfactory 2D NMR spectra rapidly from the echo train data of different SNRs but also is insensitive to the number of the final compressed data points.	Youlong Zou Jun Li Song Hu Junlei Su Mi Liu Jun Zhang	2022	Energy Geoscience2022，3，1：	0

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